diff --git a/BENCHMARKS/benchmark.NUMA.out.txt b/BENCHMARKS/benchmark.NUMA.out.txt index 0a7b53db..ed18b966 100644 --- a/BENCHMARKS/benchmark.NUMA.out.txt +++ b/BENCHMARKS/benchmark.NUMA.out.txt @@ -12,11 +12,11 @@ Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.142s -user 0m6.360s -sys 0m20.424s +real 0m1.143s +user 0m6.433s +sys 0m20.603s -CPU UTILIZATION: 23.453 / 28 +CPU UTILIZATION: 23.653 / 28 ----------------------------------------- @@ -34,11 +34,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m1.126s -user 0m6.276s -sys 0m20.502s +real 0m1.130s +user 0m6.330s +sys 0m20.625s -CPU UTILIZATION: 23.781 / 28 +CPU UTILIZATION: 23.853 / 28 ----------------------------------------- @@ -47,19 +47,19 @@ CPU UTILIZATION: 23.781 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 384 assigned | 384 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 384 assigned | 383 processed | 0 I stole | 1 stolen from me +Node 1 (Phys 1): 381 assigned | 382 processed | 1 I stole | 0 stolen from me +Node 2 (Phys 2): 382 assigned | 382 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 380 assigned | 380 processed | 1 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= -real 0m1.135s -user 0m6.427s -sys 0m20.542s +real 0m1.131s +user 0m6.533s +sys 0m20.627s -CPU UTILIZATION: 23.761 / 28 +CPU UTILIZATION: 24.014 / 28 ----------------------------------------- @@ -68,20 +68,20 @@ CPU UTILIZATION: 23.761 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 384 assigned | 384 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 381 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 384 assigned | 384 processed | 1 I stole | 1 stolen from me +Node 1 (Phys 1): 383 assigned | 382 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 380 assigned | 381 processed | 1 I stole | 0 stolen from me Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= 0 -real 0m1.132s -user 0m6.399s -sys 0m20.605s +real 0m1.134s +user 0m6.413s +sys 0m20.787s -CPU UTILIZATION: 23.855 / 28 +CPU UTILIZATION: 23.985 / 28 ----------------------------------------- @@ -90,19 +90,19 @@ CPU UTILIZATION: 23.855 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 13 assigned | 13 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.199s -user 0m6.495s -sys 0m22.111s +real 0m1.230s +user 0m6.539s +sys 0m22.112s -CPU UTILIZATION: 23.858 / 28 +CPU UTILIZATION: 23.293 / 28 ----------------------------------------- @@ -120,11 +120,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 25555 -real 0m1.200s -user 0m6.423s -sys 0m22.259s +real 0m1.212s +user 0m6.568s +sys 0m22.319s -CPU UTILIZATION: 23.901 / 28 +CPU UTILIZATION: 23.834 / 28 ----------------------------------------- @@ -133,19 +133,19 @@ CPU UTILIZATION: 23.901 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 383 assigned | 384 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 383 assigned | 382 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 380 assigned | 380 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 381 assigned | 381 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 383 assigned | 383 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 379 assigned | 381 processed | 2 I stole | 0 stolen from me +Node 2 (Phys 2): 383 assigned | 382 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 382 assigned | 381 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (0.1%) +Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= -real 0m1.198s -user 0m6.452s -sys 0m22.377s +real 0m1.205s +user 0m6.697s +sys 0m22.326s -CPU UTILIZATION: 24.064 / 28 +CPU UTILIZATION: 24.085 / 28 ----------------------------------------- @@ -154,20 +154,20 @@ CPU UTILIZATION: 24.064 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 382 assigned | 382 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 384 assigned | 384 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 380 assigned | 380 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 381 assigned | 381 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 25555 -real 0m1.204s -user 0m6.531s -sys 0m22.457s +real 0m1.206s +user 0m6.775s +sys 0m22.384s -CPU UTILIZATION: 24.076 / 28 +CPU UTILIZATION: 24.178 / 28 ----------------------------------------- @@ -176,19 +176,19 @@ CPU UTILIZATION: 24.076 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 13 assigned | 13 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.888s -user 0m25.089s -sys 0m22.012s +real 0m1.890s +user 0m25.372s +sys 0m21.945s -CPU UTILIZATION: 24.947 / 28 +CPU UTILIZATION: 25.035 / 28 ----------------------------------------- @@ -206,11 +206,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m1.896s -user 0m25.353s -sys 0m21.954s +real 0m1.903s +user 0m25.445s +sys 0m22.012s -CPU UTILIZATION: 24.950 / 28 +CPU UTILIZATION: 24.937 / 28 ----------------------------------------- @@ -219,19 +219,19 @@ CPU UTILIZATION: 24.950 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 384 assigned | 383 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 383 assigned | 383 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 382 assigned | 382 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 379 assigned | 380 processed | 1 I stole | 0 stolen from me +Node 3 (Phys 3): 382 assigned | 382 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (0.1%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.892s -user 0m25.441s -sys 0m21.950s +real 0m1.891s +user 0m25.372s +sys 0m22.077s -CPU UTILIZATION: 25.048 / 28 +CPU UTILIZATION: 25.092 / 28 ----------------------------------------- @@ -240,20 +240,20 @@ CPU UTILIZATION: 25.048 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 383 assigned | 382 processed | 0 I stole | 1 stolen from me +Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 381 assigned | 381 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 381 assigned | 382 processed | 1 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 1 chunks (0.1%) ================================================================= 100000000 -real 0m1.897s -user 0m25.393s -sys 0m22.204s +real 0m1.900s +user 0m25.663s +sys 0m22.140s -CPU UTILIZATION: 25.090 / 28 +CPU UTILIZATION: 25.159 / 28 ----------------------------------------- @@ -270,11 +270,11 @@ Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.665s -user 0m1.582s -sys 0m13.773s +real 0m0.661s +user 0m1.596s +sys 0m13.863s -CPU UTILIZATION: 23.090 / 28 +CPU UTILIZATION: 23.387 / 28 ----------------------------------------- @@ -292,11 +292,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m0.679s -user 0m1.573s -sys 0m13.743s +real 0m0.661s +user 0m1.580s +sys 0m13.867s -CPU UTILIZATION: 22.556 / 28 +CPU UTILIZATION: 23.369 / 28 ----------------------------------------- @@ -305,19 +305,19 @@ CPU UTILIZATION: 22.556 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 382 assigned | 381 processed | 1 I stole | 2 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 383 assigned | 383 processed | 1 I stole | 1 stolen from me -Node 3 (Phys 3): 380 assigned | 381 processed | 1 I stole | 0 stolen from me +Node 0 (Phys 0): 382 assigned | 382 processed | 3 I stole | 3 stolen from me +Node 1 (Phys 1): 385 assigned | 386 processed | 4 I stole | 3 stolen from me +Node 2 (Phys 2): 383 assigned | 381 processed | 1 I stole | 3 stolen from me +Node 3 (Phys 3): 377 assigned | 378 processed | 2 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 3 chunks (0.2%) +Total Cross-Socket Traffic: 10 chunks (0.7%) ================================================================= -real 0m0.708s -user 0m2.466s -sys 0m14.171s +real 0m0.707s +user 0m2.479s +sys 0m14.223s -CPU UTILIZATION: 23.498 / 28 +CPU UTILIZATION: 23.623 / 28 ----------------------------------------- @@ -326,20 +326,20 @@ CPU UTILIZATION: 23.498 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 386 assigned | 385 processed | 2 I stole | 3 stolen from me -Node 1 (Phys 1): 383 assigned | 384 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 379 assigned | 378 processed | 1 I stole | 2 stolen from me -Node 3 (Phys 3): 379 assigned | 380 processed | 2 I stole | 1 stolen from me +Node 0 (Phys 0): 383 assigned | 388 processed | 8 I stole | 3 stolen from me +Node 1 (Phys 1): 382 assigned | 380 processed | 2 I stole | 4 stolen from me +Node 2 (Phys 2): 383 assigned | 381 processed | 2 I stole | 4 stolen from me +Node 3 (Phys 3): 379 assigned | 378 processed | 3 I stole | 4 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 6 chunks (0.4%) +Total Cross-Socket Traffic: 15 chunks (1.0%) ================================================================= 0 -real 0m0.704s -user 0m2.444s -sys 0m14.150s +real 0m0.711s +user 0m2.495s +sys 0m14.248s -CPU UTILIZATION: 23.571 / 28 +CPU UTILIZATION: 23.548 / 28 ----------------------------------------- @@ -348,19 +348,19 @@ CPU UTILIZATION: 23.571 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 13 assigned | 13 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= real 0m0.703s -user 0m2.401s -sys 0m14.072s +user 0m2.400s +sys 0m14.155s -CPU UTILIZATION: 23.432 / 28 +CPU UTILIZATION: 23.549 / 28 ----------------------------------------- @@ -378,11 +378,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 4539 -real 0m0.704s -user 0m2.414s -sys 0m14.105s +real 0m0.703s +user 0m2.365s +sys 0m14.214s -CPU UTILIZATION: 23.464 / 28 +CPU UTILIZATION: 23.583 / 28 ----------------------------------------- @@ -391,19 +391,19 @@ CPU UTILIZATION: 23.464 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 381 assigned | 382 processed | 3 I stole | 2 stolen from me -Node 1 (Phys 1): 381 assigned | 383 processed | 3 I stole | 1 stolen from me -Node 2 (Phys 2): 384 assigned | 381 processed | 0 I stole | 3 stolen from me -Node 3 (Phys 3): 381 assigned | 381 processed | 1 I stole | 1 stolen from me +Node 0 (Phys 0): 385 assigned | 384 processed | 2 I stole | 3 stolen from me +Node 1 (Phys 1): 384 assigned | 384 processed | 4 I stole | 4 stolen from me +Node 2 (Phys 2): 380 assigned | 380 processed | 3 I stole | 3 stolen from me +Node 3 (Phys 3): 378 assigned | 379 processed | 1 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 7 chunks (0.5%) +Total Cross-Socket Traffic: 10 chunks (0.7%) ================================================================= -real 0m0.751s -user 0m3.192s -sys 0m14.573s +real 0m0.750s +user 0m3.205s +sys 0m14.676s -CPU UTILIZATION: 23.655 / 28 +CPU UTILIZATION: 23.841 / 28 ----------------------------------------- @@ -412,20 +412,20 @@ CPU UTILIZATION: 23.655 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 384 assigned | 385 processed | 3 I stole | 2 stolen from me -Node 1 (Phys 1): 383 assigned | 381 processed | 0 I stole | 2 stolen from me -Node 2 (Phys 2): 378 assigned | 378 processed | 3 I stole | 3 stolen from me -Node 3 (Phys 3): 382 assigned | 383 processed | 2 I stole | 1 stolen from me +Node 0 (Phys 0): 381 assigned | 380 processed | 2 I stole | 3 stolen from me +Node 1 (Phys 1): 384 assigned | 384 processed | 2 I stole | 2 stolen from me +Node 2 (Phys 2): 382 assigned | 384 processed | 5 I stole | 3 stolen from me +Node 3 (Phys 3): 380 assigned | 379 processed | 1 I stole | 2 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 8 chunks (0.5%) +Total Cross-Socket Traffic: 10 chunks (0.7%) ================================================================= 5965 -real 0m0.753s -user 0m3.278s -sys 0m14.570s +real 0m0.750s +user 0m3.281s +sys 0m14.628s -CPU UTILIZATION: 23.702 / 28 +CPU UTILIZATION: 23.878 / 28 ----------------------------------------- @@ -434,19 +434,19 @@ CPU UTILIZATION: 23.702 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 11 assigned | 11 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 13 assigned | 13 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.433s -user 0m21.138s -sys 0m14.198s +real 0m1.436s +user 0m21.185s +sys 0m14.403s -CPU UTILIZATION: 24.658 / 28 +CPU UTILIZATION: 24.782 / 28 ----------------------------------------- @@ -464,11 +464,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m1.437s -user 0m21.126s -sys 0m14.290s +real 0m1.417s +user 0m21.442s +sys 0m14.532s -CPU UTILIZATION: 24.645 / 28 +CPU UTILIZATION: 25.387 / 28 ----------------------------------------- @@ -477,19 +477,19 @@ CPU UTILIZATION: 24.645 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 385 assigned | 385 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 381 assigned | 381 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 383 assigned | 383 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 379 assigned | 379 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 382 assigned | 382 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 383 assigned | 383 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.460s -user 0m22.311s -sys 0m14.762s +real 0m1.458s +user 0m22.228s +sys 0m14.858s -CPU UTILIZATION: 25.392 / 28 +CPU UTILIZATION: 25.436 / 28 ----------------------------------------- @@ -498,20 +498,20 @@ CPU UTILIZATION: 25.392 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 382 assigned | 381 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 381 assigned | 382 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 383 assigned | 383 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 382 assigned | 383 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 381 assigned | 381 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 383 assigned | 382 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 381 assigned | 381 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 1 chunks (0.1%) ================================================================= 100000000 -real 0m1.457s -user 0m22.187s -sys 0m14.840s +real 0m1.462s +user 0m22.285s +sys 0m14.909s -CPU UTILIZATION: 25.413 / 28 +CPU UTILIZATION: 25.440 / 28 ----------------------------------------- @@ -520,19 +520,19 @@ CPU UTILIZATION: 25.413 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 13 assigned | 13 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.133s -user 0m6.362s -sys 0m20.379s +real 0m1.135s +user 0m6.359s +sys 0m20.558s -CPU UTILIZATION: 23.601 / 28 +CPU UTILIZATION: 23.715 / 28 ----------------------------------------- @@ -550,11 +550,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m1.128s -user 0m6.202s -sys 0m20.552s +real 0m1.132s +user 0m6.263s +sys 0m20.681s -CPU UTILIZATION: 23.718 / 28 +CPU UTILIZATION: 23.802 / 28 ----------------------------------------- @@ -563,19 +563,19 @@ CPU UTILIZATION: 23.718 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 384 assigned | 384 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 379 assigned | 379 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 384 assigned | 384 processed | 1 I stole | 1 stolen from me +Node 1 (Phys 1): 381 assigned | 380 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 380 assigned | 381 processed | 1 I stole | 0 stolen from me +Node 3 (Phys 3): 382 assigned | 382 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= -real 0m1.131s -user 0m6.421s -sys 0m20.565s +real 0m1.135s +user 0m6.565s +sys 0m20.612s -CPU UTILIZATION: 23.860 / 28 +CPU UTILIZATION: 23.944 / 28 ----------------------------------------- @@ -584,20 +584,20 @@ CPU UTILIZATION: 23.860 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 382 assigned | 382 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 383 assigned | 382 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 381 assigned | 380 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 381 assigned | 383 processed | 2 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= 0 -real 0m1.129s -user 0m6.388s -sys 0m20.579s +real 0m1.133s +user 0m6.303s +sys 0m20.872s -CPU UTILIZATION: 23.885 / 28 +CPU UTILIZATION: 23.984 / 28 ----------------------------------------- @@ -606,19 +606,19 @@ CPU UTILIZATION: 23.885 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 13 assigned | 13 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.198s -user 0m6.420s -sys 0m22.155s +real 0m1.205s +user 0m6.522s +sys 0m22.251s -CPU UTILIZATION: 23.852 / 28 +CPU UTILIZATION: 23.878 / 28 ----------------------------------------- @@ -636,11 +636,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 25555 -real 0m1.205s -user 0m6.400s -sys 0m22.258s +real 0m1.211s +user 0m6.614s +sys 0m22.225s -CPU UTILIZATION: 23.782 / 28 +CPU UTILIZATION: 23.814 / 28 ----------------------------------------- @@ -649,19 +649,19 @@ CPU UTILIZATION: 23.782 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 383 assigned | 382 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 382 assigned | 382 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 384 assigned | 382 processed | 0 I stole | 2 stolen from me +Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 381 assigned | 382 processed | 1 I stole | 0 stolen from me Node 3 (Phys 3): 380 assigned | 381 processed | 1 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (0.1%) +Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= -real 0m1.199s -user 0m6.416s -sys 0m22.344s +real 0m1.209s +user 0m6.700s +sys 0m22.313s -CPU UTILIZATION: 23.986 / 28 +CPU UTILIZATION: 23.997 / 28 ----------------------------------------- @@ -670,18 +670,18 @@ CPU UTILIZATION: 23.986 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 381 assigned | 383 processed | 2 I stole | 0 stolen from me -Node 2 (Phys 2): 384 assigned | 382 processed | 0 I stole | 2 stolen from me -Node 3 (Phys 3): 379 assigned | 379 processed | 1 I stole | 1 stolen from me +Node 0 (Phys 0): 381 assigned | 380 processed | 0 I stole | 1 stolen from me +Node 1 (Phys 1): 385 assigned | 384 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 381 assigned | 384 processed | 3 I stole | 0 stolen from me +Node 3 (Phys 3): 380 assigned | 379 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 3 chunks (0.2%) ================================================================= 25555 -real 0m1.201s -user 0m6.462s -sys 0m22.423s +real 0m1.209s +user 0m6.681s +sys 0m22.396s CPU UTILIZATION: 24.050 / 28 @@ -700,11 +700,11 @@ Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.890s -user 0m25.387s -sys 0m21.697s +real 0m1.894s +user 0m25.454s +sys 0m21.817s -CPU UTILIZATION: 24.912 / 28 +CPU UTILIZATION: 24.958 / 28 ----------------------------------------- @@ -722,11 +722,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m1.894s -user 0m25.111s -sys 0m22.089s +real 0m1.908s +user 0m25.246s +sys 0m22.081s -CPU UTILIZATION: 24.920 / 28 +CPU UTILIZATION: 24.804 / 28 ----------------------------------------- @@ -735,19 +735,19 @@ CPU UTILIZATION: 24.920 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 381 assigned | 381 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 382 assigned | 382 processed | 1 I stole | 1 stolen from me +Node 1 (Phys 1): 383 assigned | 382 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 382 assigned | 383 processed | 1 I stole | 0 stolen from me +Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= -real 0m1.894s -user 0m25.392s -sys 0m21.974s +real 0m1.902s +user 0m25.708s +sys 0m21.907s -CPU UTILIZATION: 25.008 / 28 +CPU UTILIZATION: 25.034 / 28 ----------------------------------------- @@ -756,20 +756,20 @@ CPU UTILIZATION: 25.008 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 382 assigned | 383 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 381 assigned | 382 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 380 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 383 assigned | 382 processed | 0 I stole | 1 stolen from me +Node 0 (Phys 0): 383 assigned | 383 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 380 assigned | 380 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 382 assigned | 382 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 2 chunks (0.1%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m1.900s -user 0m25.371s -sys 0m22.093s +real 0m1.899s +user 0m25.396s +sys 0m22.314s -CPU UTILIZATION: 24.981 / 28 +CPU UTILIZATION: 25.123 / 28 ----------------------------------------- @@ -786,11 +786,11 @@ Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.663s -user 0m1.546s -sys 0m13.818s +real 0m0.661s +user 0m1.582s +sys 0m13.874s -CPU UTILIZATION: 23.173 / 28 +CPU UTILIZATION: 23.382 / 28 ----------------------------------------- @@ -808,11 +808,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m0.662s -user 0m1.574s -sys 0m13.831s +real 0m0.663s +user 0m1.618s +sys 0m13.822s -CPU UTILIZATION: 23.270 / 28 +CPU UTILIZATION: 23.288 / 28 ----------------------------------------- @@ -821,19 +821,19 @@ CPU UTILIZATION: 23.270 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 387 assigned | 384 processed | 1 I stole | 4 stolen from me -Node 1 (Phys 1): 387 assigned | 384 processed | 0 I stole | 3 stolen from me -Node 2 (Phys 2): 375 assigned | 380 processed | 5 I stole | 0 stolen from me -Node 3 (Phys 3): 378 assigned | 379 processed | 1 I stole | 0 stolen from me +Node 0 (Phys 0): 380 assigned | 383 processed | 5 I stole | 2 stolen from me +Node 1 (Phys 1): 385 assigned | 387 processed | 4 I stole | 2 stolen from me +Node 2 (Phys 2): 382 assigned | 379 processed | 2 I stole | 5 stolen from me +Node 3 (Phys 3): 380 assigned | 378 processed | 2 I stole | 4 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 7 chunks (0.5%) +Total Cross-Socket Traffic: 13 chunks (0.9%) ================================================================= -real 0m0.711s -user 0m2.467s -sys 0m14.176s +real 0m0.708s +user 0m2.456s +sys 0m14.219s -CPU UTILIZATION: 23.407 / 28 +CPU UTILIZATION: 23.552 / 28 ----------------------------------------- @@ -842,20 +842,20 @@ CPU UTILIZATION: 23.407 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 384 assigned | 382 processed | 0 I stole | 2 stolen from me -Node 1 (Phys 1): 384 assigned | 385 processed | 2 I stole | 1 stolen from me -Node 2 (Phys 2): 380 assigned | 381 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 379 assigned | 379 processed | 1 I stole | 1 stolen from me +Node 0 (Phys 0): 377 assigned | 380 processed | 8 I stole | 5 stolen from me +Node 1 (Phys 1): 382 assigned | 379 processed | 2 I stole | 5 stolen from me +Node 2 (Phys 2): 382 assigned | 384 processed | 8 I stole | 6 stolen from me +Node 3 (Phys 3): 386 assigned | 384 processed | 2 I stole | 4 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 4 chunks (0.3%) +Total Cross-Socket Traffic: 20 chunks (1.3%) ================================================================= 0 -real 0m0.705s -user 0m2.457s -sys 0m14.144s +real 0m0.706s +user 0m2.494s +sys 0m14.213s -CPU UTILIZATION: 23.547 / 28 +CPU UTILIZATION: 23.664 / 28 ----------------------------------------- @@ -864,19 +864,19 @@ CPU UTILIZATION: 23.547 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 13 assigned | 12 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 13 assigned | 13 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 11 assigned | 12 processed | 1 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 1 chunks (2.0%) ================================================================= real 0m0.704s -user 0m2.315s -sys 0m14.140s +user 0m2.406s +sys 0m14.151s -CPU UTILIZATION: 23.373 / 28 +CPU UTILIZATION: 23.518 / 28 ----------------------------------------- @@ -894,11 +894,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 4539 -real 0m0.706s -user 0m2.313s -sys 0m14.178s +real 0m0.700s +user 0m2.389s +sys 0m14.174s -CPU UTILIZATION: 23.358 / 28 +CPU UTILIZATION: 23.661 / 28 ----------------------------------------- @@ -907,19 +907,19 @@ CPU UTILIZATION: 23.358 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 385 assigned | 384 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 386 assigned | 386 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 379 assigned | 379 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 377 assigned | 378 processed | 1 I stole | 0 stolen from me +Node 0 (Phys 0): 383 assigned | 383 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 385 assigned | 385 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 377 assigned | 377 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (0.1%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.749s -user 0m3.192s -sys 0m14.559s +real 0m0.752s +user 0m3.220s +sys 0m14.636s -CPU UTILIZATION: 23.699 / 28 +CPU UTILIZATION: 23.744 / 28 ----------------------------------------- @@ -928,20 +928,20 @@ CPU UTILIZATION: 23.699 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 391 assigned | 385 processed | 1 I stole | 7 stolen from me -Node 1 (Phys 1): 382 assigned | 381 processed | 1 I stole | 2 stolen from me -Node 2 (Phys 2): 374 assigned | 381 processed | 7 I stole | 0 stolen from me -Node 3 (Phys 3): 380 assigned | 380 processed | 3 I stole | 3 stolen from me +Node 0 (Phys 0): 392 assigned | 388 processed | 1 I stole | 5 stolen from me +Node 1 (Phys 1): 383 assigned | 384 processed | 3 I stole | 2 stolen from me +Node 2 (Phys 2): 380 assigned | 379 processed | 2 I stole | 3 stolen from me +Node 3 (Phys 3): 372 assigned | 376 processed | 4 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 12 chunks (0.8%) +Total Cross-Socket Traffic: 10 chunks (0.7%) ================================================================= 5965 -real 0m0.750s -user 0m3.283s +real 0m0.749s +user 0m3.367s sys 0m14.531s -CPU UTILIZATION: 23.752 / 28 +CPU UTILIZATION: 23.895 / 28 ----------------------------------------- @@ -959,10 +959,10 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= real 0m1.410s -user 0m21.463s -sys 0m14.302s +user 0m21.459s +sys 0m14.479s -CPU UTILIZATION: 25.365 / 28 +CPU UTILIZATION: 25.487 / 28 ----------------------------------------- @@ -980,11 +980,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m1.411s -user 0m21.567s -sys 0m14.341s +real 0m1.414s +user 0m21.468s +sys 0m14.509s -CPU UTILIZATION: 25.448 / 28 +CPU UTILIZATION: 25.443 / 28 ----------------------------------------- @@ -993,19 +993,19 @@ CPU UTILIZATION: 25.448 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 385 assigned | 385 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 379 assigned | 379 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 382 assigned | 382 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 382 assigned | 382 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 382 assigned | 382 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 381 assigned | 381 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.462s -user 0m22.278s -sys 0m14.732s +real 0m1.457s +user 0m22.238s +sys 0m14.845s -CPU UTILIZATION: 25.314 / 28 +CPU UTILIZATION: 25.451 / 28 ----------------------------------------- @@ -1014,20 +1014,20 @@ CPU UTILIZATION: 25.314 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 382 assigned | 383 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 381 assigned | 380 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 382 assigned | 381 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 382 assigned | 383 processed | 1 I stole | 0 stolen from me +Node 0 (Phys 0): 381 assigned | 382 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 382 assigned | 381 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 381 assigned | 380 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 383 assigned | 384 processed | 1 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= 100000000 -real 0m1.461s -user 0m22.282s -sys 0m14.833s +real 0m1.462s +user 0m22.216s +sys 0m14.903s -CPU UTILIZATION: 25.403 / 28 +CPU UTILIZATION: 25.389 / 28 ----------------------------------------- @@ -1044,11 +1044,11 @@ Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.100s -user 0m5.865s -sys 0m20.159s +real 0m1.107s +user 0m6.045s +sys 0m20.157s -CPU UTILIZATION: 23.658 / 28 +CPU UTILIZATION: 23.669 / 28 ----------------------------------------- @@ -1066,11 +1066,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m1.107s -user 0m6.009s -sys 0m20.002s +real 0m1.103s +user 0m6.007s +sys 0m20.178s -CPU UTILIZATION: 23.496 / 28 +CPU UTILIZATION: 23.739 / 28 ----------------------------------------- @@ -1079,19 +1079,19 @@ CPU UTILIZATION: 23.496 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 384 assigned | 384 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 380 assigned | 380 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 384 assigned | 384 processed | 1 I stole | 1 stolen from me +Node 1 (Phys 1): 382 assigned | 382 processed | 1 I stole | 1 stolen from me +Node 2 (Phys 2): 382 assigned | 382 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 379 assigned | 379 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= -real 0m1.112s -user 0m5.949s -sys 0m20.200s +real 0m1.109s +user 0m6.081s +sys 0m20.387s -CPU UTILIZATION: 23.515 / 28 +CPU UTILIZATION: 23.866 / 28 ----------------------------------------- @@ -1100,20 +1100,20 @@ CPU UTILIZATION: 23.515 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 385 assigned | 385 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 382 assigned | 382 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 380 assigned | 380 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 383 assigned | 383 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 381 assigned | 381 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m1.101s -user 0m6.032s -sys 0m20.187s +real 0m1.108s +user 0m6.057s +sys 0m20.410s -CPU UTILIZATION: 23.813 / 28 +CPU UTILIZATION: 23.887 / 28 ----------------------------------------- @@ -1131,10 +1131,10 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= real 0m1.166s -user 0m5.933s -sys 0m21.689s +user 0m6.119s +sys 0m21.686s -CPU UTILIZATION: 23.689 / 28 +CPU UTILIZATION: 23.846 / 28 ----------------------------------------- @@ -1152,11 +1152,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 25555 -real 0m1.166s -user 0m6.011s -sys 0m21.737s +real 0m1.174s +user 0m6.017s +sys 0m21.951s -CPU UTILIZATION: 23.797 / 28 +CPU UTILIZATION: 23.822 / 28 ----------------------------------------- @@ -1165,19 +1165,19 @@ CPU UTILIZATION: 23.797 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 383 assigned | 384 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 382 assigned | 383 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 382 assigned | 381 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 380 assigned | 379 processed | 0 I stole | 1 stolen from me +Node 0 (Phys 0): 384 assigned | 384 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 383 assigned | 383 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 381 assigned | 381 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 379 assigned | 379 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 2 chunks (0.1%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.169s -user 0m6.084s -sys 0m21.782s +real 0m1.165s +user 0m6.255s +sys 0m21.818s -CPU UTILIZATION: 23.837 / 28 +CPU UTILIZATION: 24.096 / 28 ----------------------------------------- @@ -1186,20 +1186,20 @@ CPU UTILIZATION: 23.837 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 385 assigned | 385 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 381 assigned | 380 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 381 assigned | 380 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 380 assigned | 382 processed | 2 I stole | 0 stolen from me +Node 0 (Phys 0): 384 assigned | 383 processed | 1 I stole | 2 stolen from me +Node 1 (Phys 1): 382 assigned | 383 processed | 2 I stole | 1 stolen from me +Node 2 (Phys 2): 381 assigned | 381 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 2 chunks (0.1%) +Total Cross-Socket Traffic: 3 chunks (0.2%) ================================================================= 25555 -real 0m1.173s -user 0m6.109s -sys 0m21.938s +real 0m1.176s +user 0m6.358s +sys 0m21.855s -CPU UTILIZATION: 23.910 / 28 +CPU UTILIZATION: 23.990 / 28 ----------------------------------------- @@ -1216,11 +1216,11 @@ Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.855s -user 0m24.785s -sys 0m21.351s +real 0m1.859s +user 0m24.940s +sys 0m21.420s -CPU UTILIZATION: 24.871 / 28 +CPU UTILIZATION: 24.938 / 28 ----------------------------------------- @@ -1229,20 +1229,20 @@ CPU UTILIZATION: 24.871 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 13 assigned | 13 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m1.865s -user 0m24.712s -sys 0m21.590s +real 0m1.872s +user 0m24.875s +sys 0m21.620s -CPU UTILIZATION: 24.826 / 28 +CPU UTILIZATION: 24.837 / 28 ----------------------------------------- @@ -1251,19 +1251,19 @@ CPU UTILIZATION: 24.826 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 381 assigned | 382 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 381 processed | 1 I stole | 1 stolen from me -Node 3 (Phys 3): 382 assigned | 381 processed | 0 I stole | 1 stolen from me +Node 0 (Phys 0): 381 assigned | 381 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 382 assigned | 381 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 381 assigned | 384 processed | 3 I stole | 0 stolen from me +Node 3 (Phys 3): 383 assigned | 381 processed | 0 I stole | 2 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 2 chunks (0.1%) +Total Cross-Socket Traffic: 3 chunks (0.2%) ================================================================= -real 0m1.857s -user 0m24.939s -sys 0m21.501s +real 0m1.863s +user 0m25.102s +sys 0m21.582s -CPU UTILIZATION: 25.008 / 28 +CPU UTILIZATION: 25.058 / 28 ----------------------------------------- @@ -1272,20 +1272,20 @@ CPU UTILIZATION: 25.008 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 381 assigned | 381 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 384 assigned | 383 processed | 0 I stole | 1 stolen from me +Node 1 (Phys 1): 380 assigned | 381 processed | 1 I stole | 0 stolen from me Node 2 (Phys 2): 381 assigned | 381 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 382 assigned | 382 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 1 chunks (0.1%) ================================================================= 100000000 -real 0m1.863s -user 0m24.828s -sys 0m21.800s +real 0m1.870s +user 0m25.268s +sys 0m21.587s -CPU UTILIZATION: 25.028 / 28 +CPU UTILIZATION: 25.056 / 28 ----------------------------------------- @@ -1302,11 +1302,11 @@ Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.653s -user 0m1.507s -sys 0m13.760s +real 0m0.657s +user 0m1.497s +sys 0m13.790s -CPU UTILIZATION: 23.379 / 28 +CPU UTILIZATION: 23.267 / 28 ----------------------------------------- @@ -1324,11 +1324,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m0.658s -user 0m1.548s -sys 0m13.705s +real 0m0.669s +user 0m1.583s +sys 0m13.755s -CPU UTILIZATION: 23.180 / 28 +CPU UTILIZATION: 22.926 / 28 ----------------------------------------- @@ -1337,19 +1337,19 @@ CPU UTILIZATION: 23.180 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 381 assigned | 381 processed | 1 I stole | 1 stolen from me -Node 1 (Phys 1): 382 assigned | 383 processed | 2 I stole | 1 stolen from me -Node 2 (Phys 2): 381 assigned | 382 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 383 assigned | 381 processed | 0 I stole | 2 stolen from me +Node 0 (Phys 0): 382 assigned | 383 processed | 4 I stole | 3 stolen from me +Node 1 (Phys 1): 386 assigned | 384 processed | 3 I stole | 5 stolen from me +Node 2 (Phys 2): 382 assigned | 381 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 377 assigned | 379 processed | 3 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 4 chunks (0.3%) +Total Cross-Socket Traffic: 10 chunks (0.7%) ================================================================= -real 0m0.700s -user 0m2.378s -sys 0m14.038s +real 0m0.701s +user 0m2.422s +sys 0m14.123s -CPU UTILIZATION: 23.451 / 28 +CPU UTILIZATION: 23.601 / 28 ----------------------------------------- @@ -1358,20 +1358,20 @@ CPU UTILIZATION: 23.451 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 386 assigned | 384 processed | 0 I stole | 2 stolen from me -Node 1 (Phys 1): 386 assigned | 384 processed | 0 I stole | 2 stolen from me -Node 2 (Phys 2): 376 assigned | 378 processed | 4 I stole | 2 stolen from me -Node 3 (Phys 3): 379 assigned | 381 processed | 3 I stole | 1 stolen from me +Node 0 (Phys 0): 384 assigned | 386 processed | 4 I stole | 2 stolen from me +Node 1 (Phys 1): 380 assigned | 380 processed | 4 I stole | 4 stolen from me +Node 2 (Phys 2): 379 assigned | 379 processed | 3 I stole | 3 stolen from me +Node 3 (Phys 3): 384 assigned | 382 processed | 1 I stole | 3 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 7 chunks (0.5%) +Total Cross-Socket Traffic: 12 chunks (0.8%) ================================================================= 0 -real 0m0.701s -user 0m2.340s -sys 0m14.139s +real 0m0.695s +user 0m2.378s +sys 0m14.151s -CPU UTILIZATION: 23.507 / 28 +CPU UTILIZATION: 23.782 / 28 ----------------------------------------- @@ -1388,11 +1388,11 @@ Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.695s -user 0m2.244s -sys 0m13.978s +real 0m0.693s +user 0m2.276s +sys 0m14.024s -CPU UTILIZATION: 23.341 / 28 +CPU UTILIZATION: 23.520 / 28 ----------------------------------------- @@ -1410,11 +1410,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 4539 -real 0m0.717s -user 0m2.151s -sys 0m13.976s +real 0m0.716s +user 0m2.201s +sys 0m14.021s -CPU UTILIZATION: 22.492 / 28 +CPU UTILIZATION: 22.656 / 28 ----------------------------------------- @@ -1423,19 +1423,19 @@ CPU UTILIZATION: 22.492 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 380 assigned | 381 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 382 assigned | 385 processed | 4 I stole | 1 stolen from me -Node 2 (Phys 2): 384 assigned | 384 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 381 assigned | 377 processed | 0 I stole | 4 stolen from me +Node 0 (Phys 0): 386 assigned | 383 processed | 1 I stole | 4 stolen from me +Node 1 (Phys 1): 385 assigned | 379 processed | 1 I stole | 7 stolen from me +Node 2 (Phys 2): 381 assigned | 384 processed | 4 I stole | 1 stolen from me +Node 3 (Phys 3): 375 assigned | 381 processed | 6 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 5 chunks (0.3%) +Total Cross-Socket Traffic: 12 chunks (0.8%) ================================================================= real 0m0.738s -user 0m3.108s -sys 0m14.341s +user 0m3.143s +sys 0m14.396s -CPU UTILIZATION: 23.643 / 28 +CPU UTILIZATION: 23.765 / 28 ----------------------------------------- @@ -1444,20 +1444,20 @@ CPU UTILIZATION: 23.643 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 384 assigned | 384 processed | 1 I stole | 1 stolen from me -Node 1 (Phys 1): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 383 assigned | 384 processed | 2 I stole | 1 stolen from me -Node 3 (Phys 3): 379 assigned | 378 processed | 0 I stole | 1 stolen from me +Node 0 (Phys 0): 381 assigned | 382 processed | 5 I stole | 4 stolen from me +Node 1 (Phys 1): 385 assigned | 382 processed | 2 I stole | 5 stolen from me +Node 2 (Phys 2): 381 assigned | 381 processed | 3 I stole | 3 stolen from me +Node 3 (Phys 3): 380 assigned | 382 processed | 2 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 3 chunks (0.2%) +Total Cross-Socket Traffic: 12 chunks (0.8%) ================================================================= 5965 -real 0m0.757s -user 0m3.087s -sys 0m14.352s +real 0m0.764s +user 0m3.119s +sys 0m14.484s -CPU UTILIZATION: 23.036 / 28 +CPU UTILIZATION: 23.040 / 28 ----------------------------------------- @@ -1466,19 +1466,19 @@ CPU UTILIZATION: 23.036 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 13 assigned | 13 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.403s -user 0m21.436s -sys 0m14.156s +real 0m1.396s +user 0m21.254s +sys 0m14.273s -CPU UTILIZATION: 25.368 / 28 +CPU UTILIZATION: 25.449 / 28 ----------------------------------------- @@ -1487,20 +1487,20 @@ CPU UTILIZATION: 25.368 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 13 assigned | 13 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m1.409s -user 0m20.878s -sys 0m14.137s +real 0m1.422s +user 0m20.778s +sys 0m14.273s -CPU UTILIZATION: 24.850 / 28 +CPU UTILIZATION: 24.649 / 28 ----------------------------------------- @@ -1509,19 +1509,19 @@ CPU UTILIZATION: 24.850 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 382 assigned | 382 processed | 1 I stole | 1 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 1 I stole | 1 stolen from me -Node 2 (Phys 2): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 381 assigned | 381 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 385 assigned | 385 processed | 1 I stole | 1 stolen from me +Node 1 (Phys 1): 385 assigned | 384 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 378 assigned | 381 processed | 3 I stole | 0 stolen from me +Node 3 (Phys 3): 379 assigned | 377 processed | 0 I stole | 2 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 2 chunks (0.1%) +Total Cross-Socket Traffic: 4 chunks (0.3%) ================================================================= -real 0m1.441s -user 0m22.215s -sys 0m14.629s +real 0m1.444s +user 0m22.146s +sys 0m14.673s -CPU UTILIZATION: 25.568 / 28 +CPU UTILIZATION: 25.497 / 28 ----------------------------------------- @@ -1530,20 +1530,20 @@ CPU UTILIZATION: 25.568 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 382 assigned | 383 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 382 assigned | 381 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 384 assigned | 384 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 378 assigned | 378 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 384 assigned | 384 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 381 assigned | 381 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (0.1%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m1.455s -user 0m21.657s -sys 0m14.659s +real 0m1.461s +user 0m21.724s +sys 0m14.798s -CPU UTILIZATION: 24.959 / 28 +CPU UTILIZATION: 24.997 / 28 ----------------------------------------- @@ -1552,19 +1552,19 @@ CPU UTILIZATION: 24.959 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 13 assigned | 13 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.361s -user 0m34.788s -sys 0m0.664s +real 0m1.353s +user 0m34.614s +sys 0m0.721s -CPU UTILIZATION: 26.048 / 28 +CPU UTILIZATION: 26.116 / 28 ----------------------------------------- @@ -1573,8 +1573,8 @@ CPU UTILIZATION: 26.048 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 13 assigned | 13 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- @@ -1582,11 +1582,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m1.361s -user 0m34.637s -sys 0m0.701s +real 0m1.368s +user 0m34.747s +sys 0m0.675s -CPU UTILIZATION: 25.964 / 28 +CPU UTILIZATION: 25.893 / 28 ----------------------------------------- @@ -1595,19 +1595,19 @@ CPU UTILIZATION: 25.964 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 379 assigned | 380 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 384 assigned | 383 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 390 assigned | 390 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 374 assigned | 374 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 377 assigned | 377 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 388 assigned | 388 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 382 assigned | 382 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (0.1%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.368s -user 0m34.769s -sys 0m0.881s +real 0m1.384s +user 0m34.797s +sys 0m0.845s -CPU UTILIZATION: 26.059 / 28 +CPU UTILIZATION: 25.752 / 28 ----------------------------------------- @@ -1616,20 +1616,20 @@ CPU UTILIZATION: 26.059 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 386 assigned | 386 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 388 assigned | 388 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 371 assigned | 371 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 381 assigned | 382 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 387 assigned | 387 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 393 assigned | 392 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 366 assigned | 366 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 1 chunks (0.1%) ================================================================= 0 -real 0m1.354s -user 0m34.808s -sys 0m0.767s +real 0m1.391s +user 0m35.114s +sys 0m0.987s -CPU UTILIZATION: 26.274 / 28 +CPU UTILIZATION: 25.953 / 28 ----------------------------------------- @@ -1638,19 +1638,19 @@ CPU UTILIZATION: 26.274 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 13 assigned | 13 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.359s -user 0m34.534s -sys 0m0.741s +real 0m1.398s +user 0m34.483s +sys 0m0.762s -CPU UTILIZATION: 25.956 / 28 +CPU UTILIZATION: 25.211 / 28 ----------------------------------------- @@ -1668,11 +1668,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 25555 -real 0m1.371s -user 0m34.548s -sys 0m0.786s +real 0m1.405s +user 0m34.119s +sys 0m0.851s -CPU UTILIZATION: 25.772 / 28 +CPU UTILIZATION: 24.889 / 28 ----------------------------------------- @@ -1681,19 +1681,19 @@ CPU UTILIZATION: 25.772 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 391 assigned | 391 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 388 assigned | 388 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 385 assigned | 385 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 363 assigned | 363 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 373 assigned | 373 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 384 assigned | 384 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 389 assigned | 389 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 381 assigned | 381 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.363s -user 0m34.712s -sys 0m0.927s +real 0m1.371s +user 0m34.751s +sys 0m1.008s -CPU UTILIZATION: 26.147 / 28 +CPU UTILIZATION: 26.082 / 28 ----------------------------------------- @@ -1702,20 +1702,20 @@ CPU UTILIZATION: 26.147 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 388 assigned | 389 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 390 assigned | 389 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 367 assigned | 367 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 377 assigned | 376 processed | 0 I stole | 1 stolen from me +Node 1 (Phys 1): 389 assigned | 389 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 385 assigned | 386 processed | 1 I stole | 0 stolen from me +Node 3 (Phys 3): 376 assigned | 376 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 1 chunks (0.1%) ================================================================= 25555 -real 0m1.364s -user 0m34.875s -sys 0m0.915s +real 0m1.370s +user 0m34.854s +sys 0m1.006s -CPU UTILIZATION: 26.239 / 28 +CPU UTILIZATION: 26.175 / 28 ----------------------------------------- @@ -1732,11 +1732,11 @@ Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.364s -user 0m34.701s -sys 0m0.765s +real 0m1.366s +user 0m34.838s +sys 0m0.801s -CPU UTILIZATION: 26.001 / 28 +CPU UTILIZATION: 26.090 / 28 ----------------------------------------- @@ -1754,11 +1754,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 25555 -real 0m1.367s -user 0m34.825s -sys 0m0.830s +real 0m1.375s +user 0m34.875s +sys 0m0.809s -CPU UTILIZATION: 26.082 / 28 +CPU UTILIZATION: 25.952 / 28 ----------------------------------------- @@ -1767,19 +1767,19 @@ CPU UTILIZATION: 26.082 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 388 assigned | 388 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 379 assigned | 379 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 387 assigned | 387 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 373 assigned | 373 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 384 assigned | 385 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 381 assigned | 381 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 388 assigned | 387 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 374 assigned | 374 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 1 chunks (0.1%) ================================================================= -real 0m1.368s -user 0m34.920s -sys 0m0.896s +real 0m1.372s +user 0m34.910s +sys 0m0.925s -CPU UTILIZATION: 26.181 / 28 +CPU UTILIZATION: 26.118 / 28 ----------------------------------------- @@ -1788,20 +1788,20 @@ CPU UTILIZATION: 26.181 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 372 assigned | 372 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 386 assigned | 386 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 394 assigned | 394 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 375 assigned | 375 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 379 assigned | 380 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 388 assigned | 389 processed | 1 I stole | 0 stolen from me +Node 2 (Phys 2): 394 assigned | 393 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 366 assigned | 365 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= 25555 -real 0m1.370s -user 0m34.968s -sys 0m0.931s +real 0m1.378s +user 0m35.072s +sys 0m1.015s -CPU UTILIZATION: 26.203 / 28 +CPU UTILIZATION: 26.187 / 28 ----------------------------------------- @@ -1818,11 +1818,11 @@ Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.622s -user 0m41.732s -sys 0m0.490s +real 0m1.615s +user 0m41.573s +sys 0m0.503s -CPU UTILIZATION: 26.030 / 28 +CPU UTILIZATION: 26.053 / 28 ----------------------------------------- @@ -1831,20 +1831,20 @@ CPU UTILIZATION: 26.030 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 13 assigned | 13 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m1.612s -user 0m41.482s -sys 0m0.517s +real 0m1.613s +user 0m41.597s +sys 0m0.483s -CPU UTILIZATION: 26.053 / 28 +CPU UTILIZATION: 26.088 / 28 ----------------------------------------- @@ -1853,19 +1853,19 @@ CPU UTILIZATION: 26.053 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 386 assigned | 387 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 378 assigned | 379 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 379 assigned | 377 processed | 0 I stole | 2 stolen from me -Node 3 (Phys 3): 384 assigned | 384 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 385 assigned | 385 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 388 assigned | 388 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 387 assigned | 387 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 367 assigned | 367 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 2 chunks (0.1%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= real 0m1.706s -user 0m44.221s -sys 0m0.761s +user 0m44.095s +sys 0m0.712s -CPU UTILIZATION: 26.366 / 28 +CPU UTILIZATION: 26.264 / 28 ----------------------------------------- @@ -1874,20 +1874,20 @@ CPU UTILIZATION: 26.366 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 388 assigned | 388 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 386 assigned | 386 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 372 assigned | 371 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 381 assigned | 382 processed | 1 I stole | 0 stolen from me +Node 0 (Phys 0): 391 assigned | 390 processed | 0 I stole | 1 stolen from me +Node 1 (Phys 1): 374 assigned | 375 processed | 1 I stole | 0 stolen from me +Node 2 (Phys 2): 381 assigned | 382 processed | 1 I stole | 0 stolen from me +Node 3 (Phys 3): 381 assigned | 380 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (0.1%) +Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= 0 real 0m1.704s -user 0m44.165s -sys 0m0.737s +user 0m43.906s +sys 0m0.845s -CPU UTILIZATION: 26.350 / 28 +CPU UTILIZATION: 26.262 / 28 ----------------------------------------- @@ -1904,11 +1904,11 @@ Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.617s -user 0m41.605s -sys 0m0.476s +real 0m1.624s +user 0m41.379s +sys 0m0.552s -CPU UTILIZATION: 26.024 / 28 +CPU UTILIZATION: 25.819 / 28 ----------------------------------------- @@ -1926,11 +1926,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 4539 -real 0m1.614s -user 0m41.286s -sys 0m0.578s +real 0m1.626s +user 0m41.528s +sys 0m0.522s -CPU UTILIZATION: 25.938 / 28 +CPU UTILIZATION: 25.861 / 28 ----------------------------------------- @@ -1939,19 +1939,19 @@ CPU UTILIZATION: 25.938 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 381 assigned | 381 processed | 1 I stole | 1 stolen from me -Node 1 (Phys 1): 386 assigned | 386 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 378 assigned | 377 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 382 assigned | 383 processed | 1 I stole | 0 stolen from me +Node 0 (Phys 0): 396 assigned | 395 processed | 0 I stole | 1 stolen from me +Node 1 (Phys 1): 374 assigned | 374 processed | 1 I stole | 1 stolen from me +Node 2 (Phys 2): 378 assigned | 376 processed | 0 I stole | 2 stolen from me +Node 3 (Phys 3): 379 assigned | 382 processed | 3 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 2 chunks (0.1%) +Total Cross-Socket Traffic: 4 chunks (0.3%) ================================================================= -real 0m1.713s -user 0m44.078s -sys 0m0.772s +real 0m1.716s +user 0m44.080s +sys 0m0.785s -CPU UTILIZATION: 26.182 / 28 +CPU UTILIZATION: 26.145 / 28 ----------------------------------------- @@ -1960,20 +1960,20 @@ CPU UTILIZATION: 26.182 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 389 assigned | 389 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 366 assigned | 366 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 392 assigned | 392 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 391 assigned | 392 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 381 assigned | 380 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 369 assigned | 368 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 386 assigned | 387 processed | 1 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= 5965 -real 0m1.710s -user 0m44.256s -sys 0m0.748s +real 0m1.711s +user 0m44.022s +sys 0m0.823s -CPU UTILIZATION: 26.318 / 28 +CPU UTILIZATION: 26.209 / 28 ----------------------------------------- @@ -1982,19 +1982,19 @@ CPU UTILIZATION: 26.318 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 13 assigned | 13 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.619s -user 0m41.472s -sys 0m0.515s +real 0m1.638s +user 0m41.746s +sys 0m0.499s -CPU UTILIZATION: 25.933 / 28 +CPU UTILIZATION: 25.790 / 28 ----------------------------------------- @@ -2012,11 +2012,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 4539 -real 0m1.637s -user 0m41.625s -sys 0m0.547s +real 0m1.640s +user 0m41.607s +sys 0m0.534s -CPU UTILIZATION: 25.761 / 28 +CPU UTILIZATION: 25.695 / 28 ----------------------------------------- @@ -2025,19 +2025,19 @@ CPU UTILIZATION: 25.761 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 370 assigned | 370 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 389 assigned | 389 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 372 assigned | 372 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 396 assigned | 396 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 373 assigned | 374 processed | 2 I stole | 1 stolen from me +Node 1 (Phys 1): 390 assigned | 392 processed | 2 I stole | 0 stolen from me +Node 2 (Phys 2): 391 assigned | 389 processed | 0 I stole | 2 stolen from me +Node 3 (Phys 3): 373 assigned | 372 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 4 chunks (0.3%) ================================================================= -real 0m1.710s -user 0m44.173s -sys 0m0.812s +real 0m1.721s +user 0m44.157s +sys 0m0.833s -CPU UTILIZATION: 26.307 / 28 +CPU UTILIZATION: 26.141 / 28 ----------------------------------------- @@ -2046,20 +2046,20 @@ CPU UTILIZATION: 26.307 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 395 assigned | 395 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 371 assigned | 371 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 390 assigned | 391 processed | 1 I stole | 0 stolen from me +Node 0 (Phys 0): 380 assigned | 382 processed | 2 I stole | 0 stolen from me +Node 1 (Phys 1): 393 assigned | 392 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 383 assigned | 383 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 371 assigned | 370 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (0.1%) +Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= 5965 -real 0m1.706s -user 0m44.024s -sys 0m0.796s +real 0m1.713s +user 0m44.138s +sys 0m0.819s -CPU UTILIZATION: 26.271 / 28 +CPU UTILIZATION: 26.244 / 28 ----------------------------------------- @@ -2068,19 +2068,19 @@ CPU UTILIZATION: 26.271 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 14 assigned | 14 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 11 assigned | 11 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.166s -user 0m1.635s -sys 0m0.729s +real 0m0.171s +user 0m1.785s +sys 0m0.762s -CPU UTILIZATION: 14.240 / 28 +CPU UTILIZATION: 14.894 / 28 ----------------------------------------- @@ -2089,20 +2089,20 @@ CPU UTILIZATION: 14.240 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 14 assigned | 14 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 13 assigned | 13 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 11 assigned | 11 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 10 assigned | 10 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m0.163s -user 0m1.692s -sys 0m0.727s +real 0m0.174s +user 0m1.726s +sys 0m0.738s -CPU UTILIZATION: 14.840 / 28 +CPU UTILIZATION: 14.160 / 28 ----------------------------------------- @@ -2111,19 +2111,19 @@ CPU UTILIZATION: 14.840 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 410 assigned | 402 processed | 25 I stole | 33 stolen from me -Node 1 (Phys 1): 360 assigned | 360 processed | 27 I stole | 27 stolen from me -Node 2 (Phys 2): 371 assigned | 381 processed | 35 I stole | 25 stolen from me -Node 3 (Phys 3): 386 assigned | 384 processed | 20 I stole | 22 stolen from me +Node 0 (Phys 0): 402 assigned | 419 processed | 34 I stole | 17 stolen from me +Node 1 (Phys 1): 368 assigned | 364 processed | 19 I stole | 23 stolen from me +Node 2 (Phys 2): 396 assigned | 404 processed | 31 I stole | 23 stolen from me +Node 3 (Phys 3): 361 assigned | 340 processed | 9 I stole | 30 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 107 chunks (7.0%) +Total Cross-Socket Traffic: 93 chunks (6.1%) ================================================================= -real 0m0.180s -user 0m1.755s -sys 0m0.871s +real 0m0.192s +user 0m1.844s +sys 0m0.911s -CPU UTILIZATION: 14.588 / 28 +CPU UTILIZATION: 14.348 / 28 ----------------------------------------- @@ -2132,20 +2132,20 @@ CPU UTILIZATION: 14.588 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 382 assigned | 361 processed | 29 I stole | 50 stolen from me -Node 1 (Phys 1): 361 assigned | 357 processed | 25 I stole | 29 stolen from me -Node 2 (Phys 2): 402 assigned | 420 processed | 36 I stole | 18 stolen from me -Node 3 (Phys 3): 382 assigned | 389 processed | 35 I stole | 28 stolen from me +Node 0 (Phys 0): 396 assigned | 399 processed | 21 I stole | 18 stolen from me +Node 1 (Phys 1): 369 assigned | 353 processed | 19 I stole | 35 stolen from me +Node 2 (Phys 2): 398 assigned | 404 processed | 21 I stole | 15 stolen from me +Node 3 (Phys 3): 364 assigned | 371 processed | 28 I stole | 21 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 125 chunks (8.2%) +Total Cross-Socket Traffic: 89 chunks (5.8%) ================================================================= 0 -real 0m0.181s -user 0m1.785s -sys 0m0.892s +real 0m0.184s +user 0m1.820s +sys 0m0.935s -CPU UTILIZATION: 14.790 / 28 +CPU UTILIZATION: 14.972 / 28 ----------------------------------------- @@ -2162,11 +2162,11 @@ Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.746s -user 0m9.155s -sys 0m7.493s +real 0m0.755s +user 0m9.119s +sys 0m7.691s -CPU UTILIZATION: 22.316 / 28 +CPU UTILIZATION: 22.264 / 28 ----------------------------------------- @@ -2184,11 +2184,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m0.748s -user 0m9.060s -sys 0m7.655s +real 0m0.761s +user 0m9.173s +sys 0m7.735s -CPU UTILIZATION: 22.346 / 28 +CPU UTILIZATION: 22.218 / 28 ----------------------------------------- @@ -2197,19 +2197,19 @@ CPU UTILIZATION: 22.346 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 382 assigned | 385 processed | 3 I stole | 0 stolen from me -Node 1 (Phys 1): 382 assigned | 381 processed | 0 I stole | 1 stolen from me +Node 0 (Phys 0): 381 assigned | 382 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 383 assigned | 384 processed | 1 I stole | 0 stolen from me Node 2 (Phys 2): 382 assigned | 381 processed | 0 I stole | 1 stolen from me Node 3 (Phys 3): 381 assigned | 380 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 3 chunks (0.2%) +Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= -real 0m0.755s -user 0m9.131s -sys 0m7.750s +real 0m0.765s +user 0m9.211s +sys 0m7.805s -CPU UTILIZATION: 22.358 / 28 +CPU UTILIZATION: 22.243 / 28 ----------------------------------------- @@ -2218,20 +2218,20 @@ CPU UTILIZATION: 22.358 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 385 assigned | 385 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 379 assigned | 379 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 384 assigned | 383 processed | 0 I stole | 1 stolen from me +Node 1 (Phys 1): 381 assigned | 381 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 383 assigned | 383 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 379 assigned | 380 processed | 1 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 1 chunks (0.1%) ================================================================= 100000000 -real 0m0.752s -user 0m9.074s -sys 0m7.892s +real 0m0.761s +user 0m9.290s +sys 0m7.869s -CPU UTILIZATION: 22.561 / 28 +CPU UTILIZATION: 22.547 / 28 ----------------------------------------- @@ -2249,10 +2249,10 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= real 0m0.738s -user 0m9.061s -sys 0m7.327s +user 0m9.119s +sys 0m7.333s -CPU UTILIZATION: 22.205 / 28 +CPU UTILIZATION: 22.292 / 28 ----------------------------------------- @@ -2270,11 +2270,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m0.742s -user 0m9.076s -sys 0m7.463s +real 0m0.749s +user 0m9.178s +sys 0m7.488s -CPU UTILIZATION: 22.289 / 28 +CPU UTILIZATION: 22.251 / 28 ----------------------------------------- @@ -2283,19 +2283,19 @@ CPU UTILIZATION: 22.289 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 384 assigned | 384 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 378 assigned | 378 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 385 assigned | 384 processed | 0 I stole | 1 stolen from me +Node 1 (Phys 1): 380 assigned | 380 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 382 assigned | 383 processed | 1 I stole | 0 stolen from me +Node 3 (Phys 3): 380 assigned | 380 processed | 1 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= -real 0m0.738s -user 0m9.050s -sys 0m7.523s +real 0m0.745s +user 0m9.230s +sys 0m7.429s -CPU UTILIZATION: 22.456 / 28 +CPU UTILIZATION: 22.361 / 28 ----------------------------------------- @@ -2304,20 +2304,20 @@ CPU UTILIZATION: 22.456 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 385 assigned | 385 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 381 assigned | 383 processed | 2 I stole | 0 stolen from me Node 1 (Phys 1): 382 assigned | 381 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 379 assigned | 380 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 381 assigned | 381 processed | 1 I stole | 1 stolen from me +Node 2 (Phys 2): 384 assigned | 383 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= 100000000 -real 0m0.745s -user 0m9.147s -sys 0m7.582s +real 0m0.748s +user 0m9.153s +sys 0m7.655s -CPU UTILIZATION: 22.455 / 28 +CPU UTILIZATION: 22.470 / 28 ----------------------------------------- @@ -2335,10 +2335,10 @@ Total Cross-Socket Traffic: 1 chunks (2.0%) ================================================================= real 0m0.112s -user 0m0.043s -sys 0m0.149s +user 0m0.039s +sys 0m0.156s -CPU UTILIZATION: 1.714 / 28 +CPU UTILIZATION: 1.741 / 28 ----------------------------------------- @@ -2356,11 +2356,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m0.118s -user 0m0.040s -sys 0m0.155s +real 0m0.125s +user 0m0.051s +sys 0m0.152s -CPU UTILIZATION: 1.652 / 28 +CPU UTILIZATION: 1.624 / 28 ----------------------------------------- @@ -2369,19 +2369,19 @@ CPU UTILIZATION: 1.652 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 383 assigned | 378 processed | 0 I stole | 5 stolen from me -Node 1 (Phys 1): 385 assigned | 395 processed | 10 I stole | 0 stolen from me -Node 2 (Phys 2): 382 assigned | 380 processed | 0 I stole | 2 stolen from me -Node 3 (Phys 3): 377 assigned | 374 processed | 0 I stole | 3 stolen from me +Node 0 (Phys 0): 391 assigned | 397 processed | 9 I stole | 3 stolen from me +Node 1 (Phys 1): 388 assigned | 388 processed | 4 I stole | 4 stolen from me +Node 2 (Phys 2): 376 assigned | 373 processed | 2 I stole | 5 stolen from me +Node 3 (Phys 3): 372 assigned | 369 processed | 2 I stole | 5 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 10 chunks (0.7%) +Total Cross-Socket Traffic: 17 chunks (1.1%) ================================================================= -real 0m0.125s -user 0m0.226s -sys 0m0.252s +real 0m0.131s +user 0m0.247s +sys 0m0.269s -CPU UTILIZATION: 3.824 / 28 +CPU UTILIZATION: 3.938 / 28 ----------------------------------------- @@ -2390,20 +2390,20 @@ CPU UTILIZATION: 3.824 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 396 assigned | 409 processed | 14 I stole | 1 stolen from me -Node 1 (Phys 1): 388 assigned | 383 processed | 1 I stole | 6 stolen from me -Node 2 (Phys 2): 376 assigned | 372 processed | 1 I stole | 5 stolen from me -Node 3 (Phys 3): 367 assigned | 363 processed | 1 I stole | 5 stolen from me +Node 0 (Phys 0): 385 assigned | 385 processed | 1 I stole | 1 stolen from me +Node 1 (Phys 1): 382 assigned | 383 processed | 1 I stole | 0 stolen from me +Node 2 (Phys 2): 381 assigned | 380 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 379 assigned | 379 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 17 chunks (1.1%) +Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= 0 -real 0m0.122s -user 0m0.238s -sys 0m0.242s +real 0m0.127s +user 0m0.260s +sys 0m0.238s -CPU UTILIZATION: 3.934 / 28 +CPU UTILIZATION: 3.921 / 28 ----------------------------------------- @@ -2420,11 +2420,11 @@ Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.113s -user 0m0.097s -sys 0m0.221s +real 0m0.121s +user 0m0.092s +sys 0m0.246s -CPU UTILIZATION: 2.814 / 28 +CPU UTILIZATION: 2.793 / 28 ----------------------------------------- @@ -2442,11 +2442,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m0.121s -user 0m0.093s -sys 0m0.272s +real 0m0.116s +user 0m0.108s +sys 0m0.263s -CPU UTILIZATION: 3.016 / 28 +CPU UTILIZATION: 3.198 / 28 ----------------------------------------- @@ -2455,19 +2455,19 @@ CPU UTILIZATION: 3.016 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 388 assigned | 388 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 384 assigned | 385 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 383 assigned | 381 processed | 0 I stole | 2 stolen from me -Node 3 (Phys 3): 372 assigned | 373 processed | 1 I stole | 0 stolen from me +Node 0 (Phys 0): 382 assigned | 381 processed | 3 I stole | 4 stolen from me +Node 1 (Phys 1): 386 assigned | 386 processed | 1 I stole | 1 stolen from me +Node 2 (Phys 2): 381 assigned | 380 processed | 3 I stole | 4 stolen from me +Node 3 (Phys 3): 378 assigned | 380 processed | 2 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 2 chunks (0.1%) +Total Cross-Socket Traffic: 9 chunks (0.6%) ================================================================= -real 0m0.150s -user 0m0.563s -sys 0m0.598s +real 0m0.152s +user 0m0.584s +sys 0m0.583s -CPU UTILIZATION: 7.740 / 28 +CPU UTILIZATION: 7.677 / 28 ----------------------------------------- @@ -2476,20 +2476,20 @@ CPU UTILIZATION: 7.740 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 386 assigned | 388 processed | 2 I stole | 0 stolen from me -Node 1 (Phys 1): 381 assigned | 380 processed | 1 I stole | 2 stolen from me -Node 2 (Phys 2): 382 assigned | 381 processed | 1 I stole | 2 stolen from me -Node 3 (Phys 3): 378 assigned | 378 processed | 2 I stole | 2 stolen from me +Node 0 (Phys 0): 384 assigned | 383 processed | 3 I stole | 4 stolen from me +Node 1 (Phys 1): 380 assigned | 381 processed | 3 I stole | 2 stolen from me +Node 2 (Phys 2): 379 assigned | 379 processed | 4 I stole | 4 stolen from me +Node 3 (Phys 3): 384 assigned | 384 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 6 chunks (0.4%) +Total Cross-Socket Traffic: 10 chunks (0.7%) ================================================================= 100000000 -real 0m0.151s -user 0m0.586s -sys 0m0.614s +real 0m0.153s +user 0m0.590s +sys 0m0.630s -CPU UTILIZATION: 7.947 / 28 +CPU UTILIZATION: 7.973 / 28 ----------------------------------------- @@ -2506,11 +2506,11 @@ Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.113s -user 0m0.098s -sys 0m0.221s +real 0m0.110s +user 0m0.105s +sys 0m0.220s -CPU UTILIZATION: 2.823 / 28 +CPU UTILIZATION: 2.954 / 28 ----------------------------------------- @@ -2528,11 +2528,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m0.119s -user 0m0.113s -sys 0m0.236s +real 0m0.115s +user 0m0.105s +sys 0m0.273s -CPU UTILIZATION: 2.932 / 28 +CPU UTILIZATION: 3.286 / 28 ----------------------------------------- @@ -2541,19 +2541,19 @@ CPU UTILIZATION: 2.932 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 386 assigned | 384 processed | 2 I stole | 4 stolen from me -Node 1 (Phys 1): 383 assigned | 385 processed | 4 I stole | 2 stolen from me -Node 2 (Phys 2): 378 assigned | 379 processed | 2 I stole | 1 stolen from me -Node 3 (Phys 3): 380 assigned | 379 processed | 1 I stole | 2 stolen from me +Node 0 (Phys 0): 381 assigned | 384 processed | 3 I stole | 0 stolen from me +Node 1 (Phys 1): 379 assigned | 379 processed | 1 I stole | 1 stolen from me +Node 2 (Phys 2): 383 assigned | 381 processed | 0 I stole | 2 stolen from me +Node 3 (Phys 3): 384 assigned | 383 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 9 chunks (0.6%) +Total Cross-Socket Traffic: 4 chunks (0.3%) ================================================================= real 0m0.150s -user 0m0.577s -sys 0m0.546s +user 0m0.556s +sys 0m0.563s -CPU UTILIZATION: 7.486 / 28 +CPU UTILIZATION: 7.460 / 28 ----------------------------------------- @@ -2562,20 +2562,20 @@ CPU UTILIZATION: 7.486 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 386 assigned | 384 processed | 2 I stole | 4 stolen from me -Node 1 (Phys 1): 382 assigned | 383 processed | 2 I stole | 1 stolen from me -Node 2 (Phys 2): 383 assigned | 384 processed | 2 I stole | 1 stolen from me -Node 3 (Phys 3): 376 assigned | 376 processed | 2 I stole | 2 stolen from me +Node 0 (Phys 0): 381 assigned | 383 processed | 4 I stole | 2 stolen from me +Node 1 (Phys 1): 383 assigned | 385 processed | 3 I stole | 1 stolen from me +Node 2 (Phys 2): 378 assigned | 378 processed | 3 I stole | 3 stolen from me +Node 3 (Phys 3): 385 assigned | 381 processed | 0 I stole | 4 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 8 chunks (0.5%) +Total Cross-Socket Traffic: 10 chunks (0.7%) ================================================================= 100000000 real 0m0.149s -user 0m0.550s -sys 0m0.617s +user 0m0.565s +sys 0m0.610s -CPU UTILIZATION: 7.832 / 28 +CPU UTILIZATION: 7.885 / 28 ----------------------------------------- @@ -2592,11 +2592,11 @@ Node 3 (Phys 3): 11 assigned | 11 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.165s -user 0m1.605s -sys 0m0.633s +real 0m0.173s +user 0m1.608s +sys 0m0.684s -CPU UTILIZATION: 13.563 / 28 +CPU UTILIZATION: 13.248 / 28 ----------------------------------------- @@ -2606,19 +2606,19 @@ CPU UTILIZATION: 13.563 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 13 assigned | 13 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 11 assigned | 11 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m0.164s -user 0m1.520s -sys 0m0.725s +real 0m0.173s +user 0m1.626s +sys 0m0.662s -CPU UTILIZATION: 13.689 / 28 +CPU UTILIZATION: 13.225 / 28 ----------------------------------------- @@ -2627,19 +2627,19 @@ CPU UTILIZATION: 13.689 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 386 assigned | 383 processed | 22 I stole | 25 stolen from me -Node 1 (Phys 1): 392 assigned | 397 processed | 23 I stole | 18 stolen from me -Node 2 (Phys 2): 389 assigned | 391 processed | 21 I stole | 19 stolen from me -Node 3 (Phys 3): 360 assigned | 356 processed | 16 I stole | 20 stolen from me +Node 0 (Phys 0): 424 assigned | 429 processed | 26 I stole | 21 stolen from me +Node 1 (Phys 1): 373 assigned | 370 processed | 21 I stole | 24 stolen from me +Node 2 (Phys 2): 379 assigned | 374 processed | 14 I stole | 19 stolen from me +Node 3 (Phys 3): 351 assigned | 354 processed | 18 I stole | 15 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 82 chunks (5.4%) +Total Cross-Socket Traffic: 79 chunks (5.2%) ================================================================= real 0m0.178s -user 0m1.604s -sys 0m0.847s +user 0m1.700s +sys 0m0.812s -CPU UTILIZATION: 13.769 / 28 +CPU UTILIZATION: 14.112 / 28 ----------------------------------------- @@ -2648,20 +2648,20 @@ CPU UTILIZATION: 13.769 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 379 assigned | 390 processed | 23 I stole | 12 stolen from me -Node 1 (Phys 1): 407 assigned | 401 processed | 17 I stole | 23 stolen from me -Node 2 (Phys 2): 391 assigned | 389 processed | 15 I stole | 17 stolen from me -Node 3 (Phys 3): 350 assigned | 347 processed | 15 I stole | 18 stolen from me +Node 0 (Phys 0): 397 assigned | 401 processed | 26 I stole | 22 stolen from me +Node 1 (Phys 1): 337 assigned | 322 processed | 16 I stole | 31 stolen from me +Node 2 (Phys 2): 392 assigned | 394 processed | 23 I stole | 21 stolen from me +Node 3 (Phys 3): 401 assigned | 410 processed | 24 I stole | 15 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 70 chunks (4.6%) +Total Cross-Socket Traffic: 89 chunks (5.8%) ================================================================= 0 -real 0m0.184s -user 0m1.693s -sys 0m0.878s +real 0m0.173s +user 0m1.686s +sys 0m0.834s -CPU UTILIZATION: 13.972 / 28 +CPU UTILIZATION: 14.566 / 28 ----------------------------------------- @@ -2678,11 +2678,11 @@ Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.722s -user 0m8.663s -sys 0m7.100s +real 0m0.723s +user 0m8.783s +sys 0m7.074s -CPU UTILIZATION: 21.832 / 28 +CPU UTILIZATION: 21.932 / 28 ----------------------------------------- @@ -2700,11 +2700,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m0.728s -user 0m8.712s -sys 0m7.176s +real 0m0.733s +user 0m8.809s +sys 0m7.226s -CPU UTILIZATION: 21.824 / 28 +CPU UTILIZATION: 21.875 / 28 ----------------------------------------- @@ -2713,19 +2713,19 @@ CPU UTILIZATION: 21.824 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 381 assigned | 383 processed | 2 I stole | 0 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 1 I stole | 1 stolen from me -Node 2 (Phys 2): 381 assigned | 381 processed | 1 I stole | 1 stolen from me -Node 3 (Phys 3): 383 assigned | 381 processed | 0 I stole | 2 stolen from me +Node 0 (Phys 0): 383 assigned | 383 processed | 2 I stole | 2 stolen from me +Node 1 (Phys 1): 381 assigned | 382 processed | 2 I stole | 1 stolen from me +Node 2 (Phys 2): 382 assigned | 382 processed | 1 I stole | 1 stolen from me +Node 3 (Phys 3): 381 assigned | 380 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 4 chunks (0.3%) +Total Cross-Socket Traffic: 5 chunks (0.3%) ================================================================= -real 0m0.723s -user 0m8.604s -sys 0m7.448s +real 0m0.726s +user 0m8.678s +sys 0m7.490s -CPU UTILIZATION: 22.201 / 28 +CPU UTILIZATION: 22.269 / 28 ----------------------------------------- @@ -2734,20 +2734,20 @@ CPU UTILIZATION: 22.201 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 386 assigned | 384 processed | 1 I stole | 3 stolen from me -Node 1 (Phys 1): 381 assigned | 381 processed | 1 I stole | 1 stolen from me -Node 2 (Phys 2): 382 assigned | 383 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 378 assigned | 379 processed | 1 I stole | 0 stolen from me +Node 0 (Phys 0): 384 assigned | 383 processed | 1 I stole | 2 stolen from me +Node 1 (Phys 1): 383 assigned | 383 processed | 2 I stole | 2 stolen from me +Node 2 (Phys 2): 380 assigned | 379 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 380 assigned | 382 processed | 2 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 4 chunks (0.3%) +Total Cross-Socket Traffic: 5 chunks (0.3%) ================================================================= 100000000 -real 0m0.717s -user 0m8.822s -sys 0m7.278s +real 0m0.727s +user 0m8.702s +sys 0m7.573s -CPU UTILIZATION: 22.454 / 28 +CPU UTILIZATION: 22.386 / 28 ----------------------------------------- @@ -2764,11 +2764,11 @@ Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.708s -user 0m8.628s -sys 0m6.964s +real 0m0.716s +user 0m8.671s +sys 0m7.022s -CPU UTILIZATION: 22.022 / 28 +CPU UTILIZATION: 21.917 / 28 ----------------------------------------- @@ -2786,11 +2786,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m0.717s -user 0m8.585s -sys 0m7.124s +real 0m0.719s +user 0m8.729s +sys 0m7.051s -CPU UTILIZATION: 21.909 / 28 +CPU UTILIZATION: 21.947 / 28 ----------------------------------------- @@ -2799,19 +2799,19 @@ CPU UTILIZATION: 21.909 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 383 assigned | 385 processed | 2 I stole | 0 stolen from me -Node 1 (Phys 1): 380 assigned | 380 processed | 1 I stole | 1 stolen from me -Node 2 (Phys 2): 383 assigned | 382 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 381 assigned | 380 processed | 0 I stole | 1 stolen from me +Node 0 (Phys 0): 382 assigned | 383 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 381 assigned | 381 processed | 1 I stole | 1 stolen from me +Node 2 (Phys 2): 384 assigned | 383 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 3 chunks (0.2%) +Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= -real 0m0.708s -user 0m8.566s -sys 0m7.175s +real 0m0.720s +user 0m8.735s +sys 0m7.157s -CPU UTILIZATION: 22.233 / 28 +CPU UTILIZATION: 22.072 / 28 ----------------------------------------- @@ -2820,20 +2820,20 @@ CPU UTILIZATION: 22.233 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 383 assigned | 384 processed | 2 I stole | 1 stolen from me -Node 1 (Phys 1): 382 assigned | 383 processed | 2 I stole | 1 stolen from me -Node 2 (Phys 2): 382 assigned | 381 processed | 1 I stole | 2 stolen from me +Node 0 (Phys 0): 383 assigned | 383 processed | 1 I stole | 1 stolen from me +Node 1 (Phys 1): 381 assigned | 382 processed | 2 I stole | 1 stolen from me +Node 2 (Phys 2): 383 assigned | 383 processed | 2 I stole | 2 stolen from me Node 3 (Phys 3): 380 assigned | 379 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 5 chunks (0.3%) ================================================================= 100000000 -real 0m0.710s -user 0m8.619s -sys 0m7.278s +real 0m0.718s +user 0m8.777s +sys 0m7.220s -CPU UTILIZATION: 22.390 / 28 +CPU UTILIZATION: 22.279 / 28 ----------------------------------------- @@ -2850,11 +2850,11 @@ Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.197s -user 0m5.882s -sys 0m22.970s +real 0m1.215s +user 0m6.138s +sys 0m22.920s -CPU UTILIZATION: 24.103 / 28 +CPU UTILIZATION: 23.916 / 28 ----------------------------------------- @@ -2863,8 +2863,8 @@ CPU UTILIZATION: 24.103 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- @@ -2872,11 +2872,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m1.203s -user 0m5.950s -sys 0m22.880s +real 0m1.202s +user 0m6.052s +sys 0m23.003s -CPU UTILIZATION: 23.965 / 28 +CPU UTILIZATION: 24.172 / 28 ----------------------------------------- @@ -2885,19 +2885,19 @@ CPU UTILIZATION: 23.965 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3422 assigned | 3392 processed | 148 I stole | 178 stolen from me -Node 1 (Phys 1): 3371 assigned | 3368 processed | 157 I stole | 160 stolen from me -Node 2 (Phys 2): 3406 assigned | 3424 processed | 165 I stole | 147 stolen from me -Node 3 (Phys 3): 3366 assigned | 3381 processed | 164 I stole | 149 stolen from me +Node 0 (Phys 0): 3434 assigned | 3453 processed | 171 I stole | 152 stolen from me +Node 1 (Phys 1): 3345 assigned | 3348 processed | 158 I stole | 155 stolen from me +Node 2 (Phys 2): 3359 assigned | 3318 processed | 153 I stole | 194 stolen from me +Node 3 (Phys 3): 3427 assigned | 3446 processed | 171 I stole | 152 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 634 chunks (4.7%) +Total Cross-Socket Traffic: 653 chunks (4.8%) ================================================================= -real 0m1.346s -user 0m9.111s -sys 0m23.522s +real 0m1.392s +user 0m9.228s +sys 0m23.952s -CPU UTILIZATION: 24.244 / 28 +CPU UTILIZATION: 23.836 / 28 ----------------------------------------- @@ -2906,20 +2906,20 @@ CPU UTILIZATION: 24.244 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3457 assigned | 3444 processed | 167 I stole | 180 stolen from me -Node 1 (Phys 1): 3370 assigned | 3321 processed | 148 I stole | 197 stolen from me -Node 2 (Phys 2): 3360 assigned | 3387 processed | 176 I stole | 149 stolen from me -Node 3 (Phys 3): 3378 assigned | 3413 processed | 170 I stole | 135 stolen from me +Node 0 (Phys 0): 3367 assigned | 3386 processed | 179 I stole | 160 stolen from me +Node 1 (Phys 1): 3406 assigned | 3356 processed | 143 I stole | 193 stolen from me +Node 2 (Phys 2): 3420 assigned | 3427 processed | 172 I stole | 165 stolen from me +Node 3 (Phys 3): 3372 assigned | 3396 processed | 168 I stole | 144 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 661 chunks (4.9%) +Total Cross-Socket Traffic: 662 chunks (4.9%) ================================================================= 0 -real 0m1.347s -user 0m9.061s -sys 0m23.607s +real 0m1.359s +user 0m9.073s +sys 0m23.802s -CPU UTILIZATION: 24.252 / 28 +CPU UTILIZATION: 24.190 / 28 ----------------------------------------- @@ -2928,19 +2928,19 @@ CPU UTILIZATION: 24.252 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.319s -user 0m7.262s -sys 0m24.877s +real 0m1.326s +user 0m7.437s +sys 0m24.854s -CPU UTILIZATION: 24.366 / 28 +CPU UTILIZATION: 24.352 / 28 ----------------------------------------- @@ -2949,20 +2949,20 @@ CPU UTILIZATION: 24.366 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 25597 -real 0m1.335s -user 0m7.430s -sys 0m25.079s +real 0m1.340s +user 0m7.455s +sys 0m25.319s -CPU UTILIZATION: 24.351 / 28 +CPU UTILIZATION: 24.458 / 28 ----------------------------------------- @@ -2971,19 +2971,19 @@ CPU UTILIZATION: 24.351 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3411 assigned | 3431 processed | 183 I stole | 163 stolen from me -Node 1 (Phys 1): 3386 assigned | 3377 processed | 160 I stole | 169 stolen from me -Node 2 (Phys 2): 3406 assigned | 3374 processed | 149 I stole | 181 stolen from me -Node 3 (Phys 3): 3362 assigned | 3383 processed | 168 I stole | 147 stolen from me +Node 0 (Phys 0): 3345 assigned | 3301 processed | 169 I stole | 213 stolen from me +Node 1 (Phys 1): 3419 assigned | 3434 processed | 191 I stole | 176 stolen from me +Node 2 (Phys 2): 3423 assigned | 3417 processed | 201 I stole | 207 stolen from me +Node 3 (Phys 3): 3378 assigned | 3413 processed | 190 I stole | 155 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 660 chunks (4.9%) +Total Cross-Socket Traffic: 751 chunks (5.5%) ================================================================= -real 0m1.465s -user 0m9.882s -sys 0m26.011s +real 0m1.471s +user 0m10.033s +sys 0m26.118s -CPU UTILIZATION: 24.500 / 28 +CPU UTILIZATION: 24.575 / 28 ----------------------------------------- @@ -2992,20 +2992,20 @@ CPU UTILIZATION: 24.500 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3417 assigned | 3416 processed | 200 I stole | 201 stolen from me -Node 1 (Phys 1): 3396 assigned | 3395 processed | 166 I stole | 167 stolen from me -Node 2 (Phys 2): 3370 assigned | 3373 processed | 179 I stole | 176 stolen from me -Node 3 (Phys 3): 3382 assigned | 3381 processed | 158 I stole | 159 stolen from me +Node 0 (Phys 0): 3381 assigned | 3408 processed | 238 I stole | 211 stolen from me +Node 1 (Phys 1): 3393 assigned | 3386 processed | 201 I stole | 208 stolen from me +Node 2 (Phys 2): 3366 assigned | 3356 processed | 195 I stole | 205 stolen from me +Node 3 (Phys 3): 3425 assigned | 3415 processed | 191 I stole | 201 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 703 chunks (5.2%) +Total Cross-Socket Traffic: 825 chunks (6.1%) ================================================================= -28349 -real 0m1.481s -user 0m9.880s -sys 0m26.520s +28350 +real 0m1.480s +user 0m10.020s +sys 0m26.564s -CPU UTILIZATION: 24.577 / 28 +CPU UTILIZATION: 24.718 / 28 ----------------------------------------- @@ -3022,11 +3022,11 @@ Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m2.073s -user 0m27.474s -sys 0m24.970s +real 0m2.082s +user 0m27.716s +sys 0m24.903s -CPU UTILIZATION: 25.298 / 28 +CPU UTILIZATION: 25.273 / 28 ----------------------------------------- @@ -3044,11 +3044,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m2.093s -user 0m27.535s -sys 0m25.330s +real 0m2.100s +user 0m27.617s +sys 0m25.289s -CPU UTILIZATION: 25.258 / 28 +CPU UTILIZATION: 25.193 / 28 ----------------------------------------- @@ -3057,19 +3057,19 @@ CPU UTILIZATION: 25.258 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3405 assigned | 3391 processed | 165 I stole | 179 stolen from me -Node 1 (Phys 1): 3394 assigned | 3384 processed | 154 I stole | 164 stolen from me -Node 2 (Phys 2): 3378 assigned | 3391 processed | 156 I stole | 143 stolen from me -Node 3 (Phys 3): 3388 assigned | 3399 processed | 147 I stole | 136 stolen from me +Node 0 (Phys 0): 3410 assigned | 3388 processed | 123 I stole | 145 stolen from me +Node 1 (Phys 1): 3390 assigned | 3403 processed | 148 I stole | 135 stolen from me +Node 2 (Phys 2): 3379 assigned | 3382 processed | 103 I stole | 100 stolen from me +Node 3 (Phys 3): 3386 assigned | 3392 processed | 109 I stole | 103 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 622 chunks (4.6%) +Total Cross-Socket Traffic: 483 chunks (3.6%) ================================================================= -real 0m2.194s -user 0m29.623s -sys 0m26.115s +real 0m2.196s +user 0m29.550s +sys 0m26.369s -CPU UTILIZATION: 25.404 / 28 +CPU UTILIZATION: 25.464 / 28 ----------------------------------------- @@ -3078,20 +3078,20 @@ CPU UTILIZATION: 25.404 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3412 assigned | 3393 processed | 131 I stole | 150 stolen from me -Node 1 (Phys 1): 3412 assigned | 3394 processed | 125 I stole | 143 stolen from me -Node 2 (Phys 2): 3369 assigned | 3391 processed | 136 I stole | 114 stolen from me -Node 3 (Phys 3): 3372 assigned | 3387 processed | 132 I stole | 117 stolen from me +Node 0 (Phys 0): 3462 assigned | 3409 processed | 167 I stole | 220 stolen from me +Node 1 (Phys 1): 3396 assigned | 3385 processed | 180 I stole | 191 stolen from me +Node 2 (Phys 2): 3350 assigned | 3388 processed | 210 I stole | 172 stolen from me +Node 3 (Phys 3): 3357 assigned | 3383 processed | 197 I stole | 171 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 524 chunks (3.9%) +Total Cross-Socket Traffic: 754 chunks (5.6%) ================================================================= 100000000 -real 0m2.204s -user 0m29.678s -sys 0m26.432s +real 0m2.212s +user 0m29.774s +sys 0m26.786s -CPU UTILIZATION: 25.458 / 28 +CPU UTILIZATION: 25.569 / 28 ----------------------------------------- @@ -3100,19 +3100,19 @@ CPU UTILIZATION: 25.458 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.738s -user 0m1.903s -sys 0m15.654s +real 0m0.737s +user 0m1.906s +sys 0m15.669s -CPU UTILIZATION: 23.789 / 28 +CPU UTILIZATION: 23.846 / 28 ----------------------------------------- @@ -3122,19 +3122,19 @@ CPU UTILIZATION: 23.789 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m0.740s -user 0m1.944s -sys 0m15.608s +real 0m0.737s +user 0m1.932s +sys 0m15.670s -CPU UTILIZATION: 23.718 / 28 +CPU UTILIZATION: 23.883 / 28 ----------------------------------------- @@ -3143,19 +3143,19 @@ CPU UTILIZATION: 23.718 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3431 assigned | 3409 processed | 189 I stole | 211 stolen from me -Node 1 (Phys 1): 3428 assigned | 3421 processed | 195 I stole | 202 stolen from me -Node 2 (Phys 2): 3403 assigned | 3411 processed | 197 I stole | 189 stolen from me -Node 3 (Phys 3): 3303 assigned | 3324 processed | 196 I stole | 175 stolen from me +Node 0 (Phys 0): 3453 assigned | 3393 processed | 224 I stole | 284 stolen from me +Node 1 (Phys 1): 3371 assigned | 3371 processed | 259 I stole | 259 stolen from me +Node 2 (Phys 2): 3332 assigned | 3356 processed | 239 I stole | 215 stolen from me +Node 3 (Phys 3): 3409 assigned | 3445 processed | 240 I stole | 204 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 777 chunks (5.7%) +Total Cross-Socket Traffic: 962 chunks (7.1%) ================================================================= -real 0m1.093s -user 0m4.743s -sys 0m20.332s +real 0m1.080s +user 0m4.834s +sys 0m20.387s -CPU UTILIZATION: 22.941 / 28 +CPU UTILIZATION: 23.352 / 28 ----------------------------------------- @@ -3164,20 +3164,20 @@ CPU UTILIZATION: 22.941 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3423 assigned | 3426 processed | 267 I stole | 264 stolen from me -Node 1 (Phys 1): 3376 assigned | 3329 processed | 248 I stole | 295 stolen from me -Node 2 (Phys 2): 3386 assigned | 3420 processed | 269 I stole | 235 stolen from me -Node 3 (Phys 3): 3380 assigned | 3390 processed | 247 I stole | 237 stolen from me +Node 0 (Phys 0): 3440 assigned | 3453 processed | 219 I stole | 206 stolen from me +Node 1 (Phys 1): 3371 assigned | 3344 processed | 204 I stole | 231 stolen from me +Node 2 (Phys 2): 3408 assigned | 3413 processed | 202 I stole | 197 stolen from me +Node 3 (Phys 3): 3346 assigned | 3355 processed | 191 I stole | 182 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1031 chunks (7.6%) +Total Cross-Socket Traffic: 816 chunks (6.0%) ================================================================= 0 -real 0m1.072s -user 0m4.733s -sys 0m20.325s +real 0m1.084s +user 0m4.863s +sys 0m20.357s -CPU UTILIZATION: 23.375 / 28 +CPU UTILIZATION: 23.265 / 28 ----------------------------------------- @@ -3186,19 +3186,19 @@ CPU UTILIZATION: 23.375 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= real 0m0.832s -user 0m3.437s -sys 0m16.548s +user 0m3.460s +sys 0m16.563s -CPU UTILIZATION: 24.020 / 28 +CPU UTILIZATION: 24.066 / 28 ----------------------------------------- @@ -3207,20 +3207,20 @@ CPU UTILIZATION: 24.020 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 108 assigned | 108 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 105 assigned | 105 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 4860 -real 0m0.835s -user 0m3.442s -sys 0m16.946s +real 0m0.838s +user 0m3.490s +sys 0m16.998s -CPU UTILIZATION: 24.416 / 28 +CPU UTILIZATION: 24.448 / 28 ----------------------------------------- @@ -3229,19 +3229,19 @@ CPU UTILIZATION: 24.416 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3404 assigned | 3363 processed | 228 I stole | 269 stolen from me -Node 1 (Phys 1): 3380 assigned | 3391 processed | 246 I stole | 235 stolen from me -Node 2 (Phys 2): 3407 assigned | 3430 processed | 251 I stole | 228 stolen from me -Node 3 (Phys 3): 3374 assigned | 3381 processed | 219 I stole | 212 stolen from me +Node 0 (Phys 0): 3304 assigned | 3256 processed | 237 I stole | 285 stolen from me +Node 1 (Phys 1): 3456 assigned | 3459 processed | 246 I stole | 243 stolen from me +Node 2 (Phys 2): 3356 assigned | 3358 processed | 234 I stole | 232 stolen from me +Node 3 (Phys 3): 3449 assigned | 3492 processed | 237 I stole | 194 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 944 chunks (7.0%) +Total Cross-Socket Traffic: 954 chunks (7.0%) ================================================================= real 0m1.182s -user 0m6.235s -sys 0m21.673s +user 0m6.171s +sys 0m21.873s -CPU UTILIZATION: 23.610 / 28 +CPU UTILIZATION: 23.725 / 28 ----------------------------------------- @@ -3250,20 +3250,20 @@ CPU UTILIZATION: 23.610 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3405 assigned | 3346 processed | 199 I stole | 258 stolen from me -Node 1 (Phys 1): 3460 assigned | 3481 processed | 243 I stole | 222 stolen from me -Node 2 (Phys 2): 3395 assigned | 3382 processed | 224 I stole | 237 stolen from me -Node 3 (Phys 3): 3305 assigned | 3356 processed | 235 I stole | 184 stolen from me +Node 0 (Phys 0): 3465 assigned | 3432 processed | 197 I stole | 230 stolen from me +Node 1 (Phys 1): 3439 assigned | 3472 processed | 235 I stole | 202 stolen from me +Node 2 (Phys 2): 3318 assigned | 3328 processed | 209 I stole | 199 stolen from me +Node 3 (Phys 3): 3343 assigned | 3333 processed | 203 I stole | 213 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 901 chunks (6.6%) +Total Cross-Socket Traffic: 844 chunks (6.2%) ================================================================= -14837 -real 0m1.205s -user 0m6.286s -sys 0m22.116s +14836 +real 0m1.204s +user 0m6.294s +sys 0m22.231s -CPU UTILIZATION: 23.570 / 28 +CPU UTILIZATION: 23.691 / 28 ----------------------------------------- @@ -3274,17 +3274,17 @@ NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.601s -user 0m24.297s -sys 0m16.749s +real 0m1.604s +user 0m24.190s +sys 0m16.850s -CPU UTILIZATION: 25.637 / 28 +CPU UTILIZATION: 25.586 / 28 ----------------------------------------- @@ -3294,19 +3294,19 @@ CPU UTILIZATION: 25.637 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m1.612s -user 0m24.217s -sys 0m17.175s +real 0m1.611s +user 0m24.244s +sys 0m17.169s -CPU UTILIZATION: 25.677 / 28 +CPU UTILIZATION: 25.706 / 28 ----------------------------------------- @@ -3315,19 +3315,19 @@ CPU UTILIZATION: 25.677 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3394 assigned | 3397 processed | 320 I stole | 317 stolen from me -Node 1 (Phys 1): 3415 assigned | 3403 processed | 291 I stole | 303 stolen from me -Node 2 (Phys 2): 3409 assigned | 3394 processed | 278 I stole | 293 stolen from me -Node 3 (Phys 3): 3347 assigned | 3371 processed | 302 I stole | 278 stolen from me +Node 0 (Phys 0): 3470 assigned | 3411 processed | 365 I stole | 424 stolen from me +Node 1 (Phys 1): 3417 assigned | 3437 processed | 380 I stole | 360 stolen from me +Node 2 (Phys 2): 3315 assigned | 3343 processed | 359 I stole | 331 stolen from me +Node 3 (Phys 3): 3363 assigned | 3374 processed | 334 I stole | 323 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1191 chunks (8.8%) +Total Cross-Socket Traffic: 1438 chunks (10.6%) ================================================================= -real 0m1.889s -user 0m27.205s -sys 0m20.958s +real 0m1.930s +user 0m27.364s +sys 0m21.197s -CPU UTILIZATION: 25.496 / 28 +CPU UTILIZATION: 25.161 / 28 ----------------------------------------- @@ -3336,20 +3336,20 @@ CPU UTILIZATION: 25.496 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3422 assigned | 3418 processed | 231 I stole | 235 stolen from me -Node 1 (Phys 1): 3378 assigned | 3385 processed | 234 I stole | 227 stolen from me -Node 2 (Phys 2): 3408 assigned | 3376 processed | 185 I stole | 217 stolen from me -Node 3 (Phys 3): 3357 assigned | 3386 processed | 215 I stole | 186 stolen from me +Node 0 (Phys 0): 3429 assigned | 3373 processed | 338 I stole | 394 stolen from me +Node 1 (Phys 1): 3404 assigned | 3428 processed | 376 I stole | 352 stolen from me +Node 2 (Phys 2): 3353 assigned | 3384 processed | 381 I stole | 350 stolen from me +Node 3 (Phys 3): 3379 assigned | 3380 processed | 352 I stole | 351 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 865 chunks (6.4%) +Total Cross-Socket Traffic: 1447 chunks (10.7%) ================================================================= 100000000 -real 0m1.901s -user 0m27.249s -sys 0m21.326s +real 0m1.919s +user 0m27.434s +sys 0m21.548s -CPU UTILIZATION: 25.552 / 28 +CPU UTILIZATION: 25.524 / 28 ----------------------------------------- @@ -3358,19 +3358,19 @@ CPU UTILIZATION: 25.552 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.202s -user 0m5.978s -sys 0m22.975s +real 0m1.212s +user 0m6.238s +sys 0m22.817s -CPU UTILIZATION: 24.087 / 28 +CPU UTILIZATION: 23.972 / 28 ----------------------------------------- @@ -3379,20 +3379,20 @@ CPU UTILIZATION: 24.087 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m1.203s -user 0m5.975s -sys 0m22.919s +real 0m1.208s +user 0m6.002s +sys 0m23.107s -CPU UTILIZATION: 24.018 / 28 +CPU UTILIZATION: 24.096 / 28 ----------------------------------------- @@ -3401,19 +3401,19 @@ CPU UTILIZATION: 24.018 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3421 assigned | 3414 processed | 179 I stole | 186 stolen from me -Node 1 (Phys 1): 3376 assigned | 3361 processed | 176 I stole | 191 stolen from me -Node 2 (Phys 2): 3307 assigned | 3324 processed | 176 I stole | 159 stolen from me -Node 3 (Phys 3): 3461 assigned | 3466 processed | 184 I stole | 179 stolen from me +Node 0 (Phys 0): 3346 assigned | 3300 processed | 142 I stole | 188 stolen from me +Node 1 (Phys 1): 3426 assigned | 3452 processed | 161 I stole | 135 stolen from me +Node 2 (Phys 2): 3393 assigned | 3409 processed | 144 I stole | 128 stolen from me +Node 3 (Phys 3): 3400 assigned | 3404 processed | 143 I stole | 139 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 715 chunks (5.3%) +Total Cross-Socket Traffic: 590 chunks (4.3%) ================================================================= -real 0m1.346s -user 0m8.933s -sys 0m23.648s +real 0m1.354s +user 0m9.083s +sys 0m23.813s -CPU UTILIZATION: 24.205 / 28 +CPU UTILIZATION: 24.295 / 28 ----------------------------------------- @@ -3422,20 +3422,20 @@ CPU UTILIZATION: 24.205 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3413 assigned | 3403 processed | 162 I stole | 172 stolen from me -Node 1 (Phys 1): 3383 assigned | 3391 processed | 176 I stole | 168 stolen from me -Node 2 (Phys 2): 3385 assigned | 3373 processed | 168 I stole | 180 stolen from me -Node 3 (Phys 3): 3384 assigned | 3398 processed | 164 I stole | 150 stolen from me +Node 0 (Phys 0): 3429 assigned | 3424 processed | 160 I stole | 165 stolen from me +Node 1 (Phys 1): 3423 assigned | 3429 processed | 165 I stole | 159 stolen from me +Node 2 (Phys 2): 3398 assigned | 3414 processed | 172 I stole | 156 stolen from me +Node 3 (Phys 3): 3315 assigned | 3298 processed | 143 I stole | 160 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 670 chunks (4.9%) +Total Cross-Socket Traffic: 640 chunks (4.7%) ================================================================= 0 -real 0m1.350s -user 0m9.067s -sys 0m23.645s +real 0m1.358s +user 0m9.172s +sys 0m23.801s -CPU UTILIZATION: 24.231 / 28 +CPU UTILIZATION: 24.280 / 28 ----------------------------------------- @@ -3452,11 +3452,11 @@ Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.317s -user 0m7.165s -sys 0m24.928s +real 0m1.326s +user 0m7.453s +sys 0m24.892s -CPU UTILIZATION: 24.368 / 28 +CPU UTILIZATION: 24.392 / 28 ----------------------------------------- @@ -3466,19 +3466,19 @@ CPU UTILIZATION: 24.368 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 25597 -real 0m1.330s -user 0m7.366s -sys 0m25.202s +real 0m1.339s +user 0m7.451s +sys 0m25.299s -CPU UTILIZATION: 24.487 / 28 +CPU UTILIZATION: 24.458 / 28 ----------------------------------------- @@ -3487,19 +3487,19 @@ CPU UTILIZATION: 24.487 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3414 assigned | 3438 processed | 191 I stole | 167 stolen from me -Node 1 (Phys 1): 3418 assigned | 3391 processed | 180 I stole | 207 stolen from me -Node 2 (Phys 2): 3393 assigned | 3401 processed | 174 I stole | 166 stolen from me -Node 3 (Phys 3): 3340 assigned | 3335 processed | 167 I stole | 172 stolen from me +Node 0 (Phys 0): 3387 assigned | 3384 processed | 183 I stole | 186 stolen from me +Node 1 (Phys 1): 3400 assigned | 3375 processed | 160 I stole | 185 stolen from me +Node 2 (Phys 2): 3407 assigned | 3391 processed | 155 I stole | 171 stolen from me +Node 3 (Phys 3): 3371 assigned | 3415 processed | 196 I stole | 152 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 712 chunks (5.2%) +Total Cross-Socket Traffic: 694 chunks (5.1%) ================================================================= -real 0m1.476s -user 0m9.773s -sys 0m26.179s +real 0m1.475s +user 0m9.880s +sys 0m26.359s -CPU UTILIZATION: 24.357 / 28 +CPU UTILIZATION: 24.568 / 28 ----------------------------------------- @@ -3508,20 +3508,20 @@ CPU UTILIZATION: 24.357 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3413 assigned | 3390 processed | 192 I stole | 215 stolen from me -Node 1 (Phys 1): 3392 assigned | 3429 processed | 203 I stole | 166 stolen from me -Node 2 (Phys 2): 3378 assigned | 3345 processed | 164 I stole | 197 stolen from me -Node 3 (Phys 3): 3382 assigned | 3401 processed | 184 I stole | 165 stolen from me +Node 0 (Phys 0): 3417 assigned | 3425 processed | 188 I stole | 180 stolen from me +Node 1 (Phys 1): 3478 assigned | 3486 processed | 189 I stole | 181 stolen from me +Node 2 (Phys 2): 3419 assigned | 3410 processed | 169 I stole | 178 stolen from me +Node 3 (Phys 3): 3251 assigned | 3244 processed | 183 I stole | 190 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 743 chunks (5.5%) +Total Cross-Socket Traffic: 729 chunks (5.4%) ================================================================= -28349 -real 0m1.475s -user 0m9.762s -sys 0m26.590s +28350 +real 0m1.555s +user 0m10.150s +sys 0m26.824s -CPU UTILIZATION: 24.645 / 28 +CPU UTILIZATION: 23.777 / 28 ----------------------------------------- @@ -3530,19 +3530,19 @@ CPU UTILIZATION: 24.645 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m2.065s -user 0m27.591s -sys 0m24.634s +real 0m2.089s +user 0m27.713s +sys 0m24.854s -CPU UTILIZATION: 25.290 / 28 +CPU UTILIZATION: 25.163 / 28 ----------------------------------------- @@ -3551,20 +3551,20 @@ CPU UTILIZATION: 25.290 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 105 assigned | 105 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m2.091s -user 0m27.508s -sys 0m25.351s +real 0m2.090s +user 0m27.604s +sys 0m25.415s -CPU UTILIZATION: 25.279 / 28 +CPU UTILIZATION: 25.367 / 28 ----------------------------------------- @@ -3573,19 +3573,19 @@ CPU UTILIZATION: 25.279 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3406 assigned | 3398 processed | 174 I stole | 182 stolen from me -Node 1 (Phys 1): 3381 assigned | 3379 processed | 166 I stole | 168 stolen from me -Node 2 (Phys 2): 3411 assigned | 3402 processed | 152 I stole | 161 stolen from me -Node 3 (Phys 3): 3367 assigned | 3386 processed | 149 I stole | 130 stolen from me +Node 0 (Phys 0): 3433 assigned | 3406 processed | 175 I stole | 202 stolen from me +Node 1 (Phys 1): 3398 assigned | 3403 processed | 192 I stole | 187 stolen from me +Node 2 (Phys 2): 3375 assigned | 3378 processed | 172 I stole | 169 stolen from me +Node 3 (Phys 3): 3359 assigned | 3378 processed | 181 I stole | 162 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 641 chunks (4.7%) +Total Cross-Socket Traffic: 720 chunks (5.3%) ================================================================= -real 0m2.191s -user 0m29.455s -sys 0m26.227s +real 0m2.199s +user 0m29.627s +sys 0m26.367s -CPU UTILIZATION: 25.413 / 28 +CPU UTILIZATION: 25.463 / 28 ----------------------------------------- @@ -3594,20 +3594,20 @@ CPU UTILIZATION: 25.413 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3421 assigned | 3382 processed | 150 I stole | 189 stolen from me -Node 1 (Phys 1): 3380 assigned | 3384 processed | 179 I stole | 175 stolen from me -Node 2 (Phys 2): 3369 assigned | 3386 processed | 175 I stole | 158 stolen from me -Node 3 (Phys 3): 3395 assigned | 3413 processed | 162 I stole | 144 stolen from me +Node 0 (Phys 0): 3416 assigned | 3396 processed | 168 I stole | 188 stolen from me +Node 1 (Phys 1): 3389 assigned | 3397 processed | 164 I stole | 156 stolen from me +Node 2 (Phys 2): 3388 assigned | 3395 processed | 167 I stole | 160 stolen from me +Node 3 (Phys 3): 3372 assigned | 3377 processed | 150 I stole | 145 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 666 chunks (4.9%) +Total Cross-Socket Traffic: 649 chunks (4.8%) ================================================================= 100000000 -real 0m2.206s -user 0m29.438s -sys 0m26.747s +real 0m2.214s +user 0m29.841s +sys 0m26.643s -CPU UTILIZATION: 25.469 / 28 +CPU UTILIZATION: 25.512 / 28 ----------------------------------------- @@ -3616,19 +3616,19 @@ CPU UTILIZATION: 25.469 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 108 assigned | 108 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 104 assigned | 104 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 105 assigned | 105 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= real 0m0.737s -user 0m1.914s -sys 0m15.615s +user 0m1.884s +sys 0m15.709s -CPU UTILIZATION: 23.784 / 28 +CPU UTILIZATION: 23.871 / 28 ----------------------------------------- @@ -3638,19 +3638,19 @@ CPU UTILIZATION: 23.784 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 105 assigned | 105 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m0.741s -user 0m1.859s -sys 0m15.722s +real 0m0.738s +user 0m1.972s +sys 0m15.669s -CPU UTILIZATION: 23.726 / 28 +CPU UTILIZATION: 23.903 / 28 ----------------------------------------- @@ -3659,19 +3659,19 @@ CPU UTILIZATION: 23.726 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3382 assigned | 3370 processed | 251 I stole | 263 stolen from me -Node 1 (Phys 1): 3397 assigned | 3372 processed | 227 I stole | 252 stolen from me -Node 2 (Phys 2): 3374 assigned | 3407 processed | 256 I stole | 223 stolen from me -Node 3 (Phys 3): 3412 assigned | 3416 processed | 220 I stole | 216 stolen from me +Node 0 (Phys 0): 3423 assigned | 3389 processed | 206 I stole | 240 stolen from me +Node 1 (Phys 1): 3355 assigned | 3389 processed | 232 I stole | 198 stolen from me +Node 2 (Phys 2): 3367 assigned | 3351 processed | 195 I stole | 211 stolen from me +Node 3 (Phys 3): 3420 assigned | 3436 processed | 215 I stole | 199 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 954 chunks (7.0%) +Total Cross-Socket Traffic: 848 chunks (6.3%) ================================================================= -real 0m1.070s -user 0m4.830s -sys 0m20.225s +real 0m1.083s +user 0m4.822s +sys 0m20.389s -CPU UTILIZATION: 23.415 / 28 +CPU UTILIZATION: 23.278 / 28 ----------------------------------------- @@ -3680,20 +3680,20 @@ CPU UTILIZATION: 23.415 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3433 assigned | 3367 processed | 205 I stole | 271 stolen from me -Node 1 (Phys 1): 3389 assigned | 3460 processed | 283 I stole | 212 stolen from me -Node 2 (Phys 2): 3358 assigned | 3333 processed | 211 I stole | 236 stolen from me -Node 3 (Phys 3): 3385 assigned | 3405 processed | 222 I stole | 202 stolen from me +Node 0 (Phys 0): 3409 assigned | 3407 processed | 251 I stole | 253 stolen from me +Node 1 (Phys 1): 3394 assigned | 3384 processed | 237 I stole | 247 stolen from me +Node 2 (Phys 2): 3380 assigned | 3404 processed | 266 I stole | 242 stolen from me +Node 3 (Phys 3): 3382 assigned | 3370 processed | 217 I stole | 229 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 921 chunks (6.8%) +Total Cross-Socket Traffic: 971 chunks (7.2%) ================================================================= 0 -real 0m1.074s -user 0m4.782s -sys 0m20.304s +real 0m1.071s +user 0m4.918s +sys 0m20.261s -CPU UTILIZATION: 23.357 / 28 +CPU UTILIZATION: 23.509 / 28 ----------------------------------------- @@ -3710,11 +3710,11 @@ Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.831s -user 0m3.446s -sys 0m16.549s +real 0m0.835s +user 0m3.478s +sys 0m16.594s -CPU UTILIZATION: 24.061 / 28 +CPU UTILIZATION: 24.038 / 28 ----------------------------------------- @@ -3724,19 +3724,19 @@ CPU UTILIZATION: 24.061 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 105 assigned | 105 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 108 assigned | 108 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 4860 -real 0m0.840s -user 0m3.462s -sys 0m16.937s +real 0m0.839s +user 0m3.561s +sys 0m16.893s -CPU UTILIZATION: 24.284 / 28 +CPU UTILIZATION: 24.379 / 28 ----------------------------------------- @@ -3745,19 +3745,19 @@ CPU UTILIZATION: 24.284 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3375 assigned | 3355 processed | 210 I stole | 230 stolen from me -Node 1 (Phys 1): 3373 assigned | 3358 processed | 218 I stole | 233 stolen from me -Node 2 (Phys 2): 3421 assigned | 3467 processed | 240 I stole | 194 stolen from me -Node 3 (Phys 3): 3396 assigned | 3385 processed | 208 I stole | 219 stolen from me +Node 0 (Phys 0): 3362 assigned | 3288 processed | 218 I stole | 292 stolen from me +Node 1 (Phys 1): 3430 assigned | 3449 processed | 246 I stole | 227 stolen from me +Node 2 (Phys 2): 3421 assigned | 3500 processed | 282 I stole | 203 stolen from me +Node 3 (Phys 3): 3352 assigned | 3328 processed | 215 I stole | 239 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 876 chunks (6.5%) +Total Cross-Socket Traffic: 961 chunks (7.1%) ================================================================= real 0m1.184s -user 0m6.039s -sys 0m21.830s +user 0m6.275s +sys 0m21.859s -CPU UTILIZATION: 23.538 / 28 +CPU UTILIZATION: 23.761 / 28 ----------------------------------------- @@ -3766,20 +3766,20 @@ CPU UTILIZATION: 23.538 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3348 assigned | 3337 processed | 238 I stole | 249 stolen from me -Node 1 (Phys 1): 3445 assigned | 3461 processed | 244 I stole | 228 stolen from me -Node 2 (Phys 2): 3409 assigned | 3383 processed | 197 I stole | 223 stolen from me -Node 3 (Phys 3): 3363 assigned | 3384 processed | 221 I stole | 200 stolen from me +Node 0 (Phys 0): 3502 assigned | 3468 processed | 280 I stole | 314 stolen from me +Node 1 (Phys 1): 3353 assigned | 3338 processed | 247 I stole | 262 stolen from me +Node 2 (Phys 2): 3414 assigned | 3442 processed | 282 I stole | 254 stolen from me +Node 3 (Phys 3): 3296 assigned | 3317 processed | 244 I stole | 223 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 900 chunks (6.6%) +Total Cross-Socket Traffic: 1053 chunks (7.8%) ================================================================= -14837 -real 0m1.211s -user 0m6.284s -sys 0m22.218s +14836 +real 0m1.199s +user 0m6.291s +sys 0m22.230s -CPU UTILIZATION: 23.535 / 28 +CPU UTILIZATION: 23.787 / 28 ----------------------------------------- @@ -3788,19 +3788,19 @@ CPU UTILIZATION: 23.535 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.597s -user 0m24.283s -sys 0m16.726s +real 0m1.600s +user 0m24.174s +sys 0m16.932s -CPU UTILIZATION: 25.678 / 28 +CPU UTILIZATION: 25.691 / 28 ----------------------------------------- @@ -3811,8 +3811,8 @@ NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 105 assigned | 105 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= @@ -3820,9 +3820,9 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) 100000000 real 0m1.613s user 0m24.257s -sys 0m17.149s +sys 0m17.185s -CPU UTILIZATION: 25.670 / 28 +CPU UTILIZATION: 25.692 / 28 ----------------------------------------- @@ -3831,19 +3831,19 @@ CPU UTILIZATION: 25.670 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3426 assigned | 3373 processed | 328 I stole | 381 stolen from me -Node 1 (Phys 1): 3419 assigned | 3413 processed | 333 I stole | 339 stolen from me -Node 2 (Phys 2): 3355 assigned | 3401 processed | 341 I stole | 295 stolen from me -Node 3 (Phys 3): 3365 assigned | 3378 processed | 333 I stole | 320 stolen from me +Node 0 (Phys 0): 3393 assigned | 3390 processed | 350 I stole | 353 stolen from me +Node 1 (Phys 1): 3419 assigned | 3422 processed | 332 I stole | 329 stolen from me +Node 2 (Phys 2): 3434 assigned | 3408 processed | 342 I stole | 368 stolen from me +Node 3 (Phys 3): 3319 assigned | 3345 processed | 329 I stole | 303 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1335 chunks (9.8%) +Total Cross-Socket Traffic: 1353 chunks (10.0%) ================================================================= -real 0m1.888s -user 0m27.120s -sys 0m20.913s +real 0m1.900s +user 0m27.353s +sys 0m21.068s -CPU UTILIZATION: 25.441 / 28 +CPU UTILIZATION: 25.484 / 28 ----------------------------------------- @@ -3852,20 +3852,20 @@ CPU UTILIZATION: 25.441 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3360 assigned | 3371 processed | 346 I stole | 335 stolen from me -Node 1 (Phys 1): 3386 assigned | 3430 processed | 330 I stole | 286 stolen from me -Node 2 (Phys 2): 3423 assigned | 3380 processed | 295 I stole | 338 stolen from me -Node 3 (Phys 3): 3396 assigned | 3384 processed | 285 I stole | 297 stolen from me +Node 0 (Phys 0): 3453 assigned | 3406 processed | 344 I stole | 391 stolen from me +Node 1 (Phys 1): 3357 assigned | 3375 processed | 362 I stole | 344 stolen from me +Node 2 (Phys 2): 3379 assigned | 3440 processed | 368 I stole | 307 stolen from me +Node 3 (Phys 3): 3376 assigned | 3344 processed | 291 I stole | 323 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1256 chunks (9.3%) +Total Cross-Socket Traffic: 1365 chunks (10.1%) ================================================================= 100000000 -real 0m1.908s -user 0m27.327s -sys 0m21.358s +real 0m1.911s +user 0m27.410s +sys 0m21.510s -CPU UTILIZATION: 25.516 / 28 +CPU UTILIZATION: 25.599 / 28 ----------------------------------------- @@ -3882,11 +3882,11 @@ Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.173s -user 0m5.589s -sys 0m22.596s +real 0m1.175s +user 0m5.719s +sys 0m22.635s -CPU UTILIZATION: 24.028 / 28 +CPU UTILIZATION: 24.131 / 28 ----------------------------------------- @@ -3895,20 +3895,20 @@ CPU UTILIZATION: 24.028 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m1.175s -user 0m5.548s -sys 0m22.596s +real 0m1.177s +user 0m5.735s +sys 0m22.616s -CPU UTILIZATION: 23.952 / 28 +CPU UTILIZATION: 24.087 / 28 ----------------------------------------- @@ -3917,19 +3917,19 @@ CPU UTILIZATION: 23.952 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3412 assigned | 3446 processed | 189 I stole | 155 stolen from me -Node 1 (Phys 1): 3436 assigned | 3423 processed | 141 I stole | 154 stolen from me -Node 2 (Phys 2): 3358 assigned | 3357 processed | 154 I stole | 155 stolen from me -Node 3 (Phys 3): 3359 assigned | 3339 processed | 148 I stole | 168 stolen from me +Node 0 (Phys 0): 3429 assigned | 3399 processed | 183 I stole | 213 stolen from me +Node 1 (Phys 1): 3404 assigned | 3406 processed | 178 I stole | 176 stolen from me +Node 2 (Phys 2): 3405 assigned | 3424 processed | 186 I stole | 167 stolen from me +Node 3 (Phys 3): 3327 assigned | 3336 processed | 166 I stole | 157 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 632 chunks (4.7%) +Total Cross-Socket Traffic: 713 chunks (5.3%) ================================================================= -real 0m1.323s -user 0m8.520s -sys 0m23.353s +real 0m1.324s +user 0m8.624s +sys 0m23.480s -CPU UTILIZATION: 24.091 / 28 +CPU UTILIZATION: 24.247 / 28 ----------------------------------------- @@ -3938,20 +3938,20 @@ CPU UTILIZATION: 24.091 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3441 assigned | 3430 processed | 151 I stole | 162 stolen from me -Node 1 (Phys 1): 3410 assigned | 3422 processed | 169 I stole | 157 stolen from me -Node 2 (Phys 2): 3355 assigned | 3336 processed | 167 I stole | 186 stolen from me -Node 3 (Phys 3): 3359 assigned | 3377 processed | 174 I stole | 156 stolen from me +Node 0 (Phys 0): 3322 assigned | 3266 processed | 134 I stole | 190 stolen from me +Node 1 (Phys 1): 3432 assigned | 3480 processed | 181 I stole | 133 stolen from me +Node 2 (Phys 2): 3401 assigned | 3383 processed | 134 I stole | 152 stolen from me +Node 3 (Phys 3): 3410 assigned | 3436 processed | 168 I stole | 142 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 661 chunks (4.9%) +Total Cross-Socket Traffic: 617 chunks (4.5%) ================================================================= 0 -real 0m1.322s -user 0m8.786s -sys 0m22.995s +real 0m1.329s +user 0m8.753s +sys 0m23.433s -CPU UTILIZATION: 24.040 / 28 +CPU UTILIZATION: 24.218 / 28 ----------------------------------------- @@ -3962,17 +3962,17 @@ NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.268s -user 0m6.667s -sys 0m23.986s +real 0m1.270s +user 0m6.953s +sys 0m23.891s -CPU UTILIZATION: 24.174 / 28 +CPU UTILIZATION: 24.286 / 28 ----------------------------------------- @@ -3981,8 +3981,8 @@ CPU UTILIZATION: 24.174 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- @@ -3990,11 +3990,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 25597 -real 0m1.369s -user 0m7.411s -sys 0m23.915s +real 0m1.376s +user 0m7.530s +sys 0m24.045s -CPU UTILIZATION: 22.882 / 28 +CPU UTILIZATION: 22.946 / 28 ----------------------------------------- @@ -4003,19 +4003,19 @@ CPU UTILIZATION: 22.882 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3399 assigned | 3378 processed | 176 I stole | 197 stolen from me -Node 1 (Phys 1): 3389 assigned | 3363 processed | 176 I stole | 202 stolen from me -Node 2 (Phys 2): 3403 assigned | 3427 processed | 180 I stole | 156 stolen from me -Node 3 (Phys 3): 3374 assigned | 3397 processed | 192 I stole | 169 stolen from me +Node 0 (Phys 0): 3341 assigned | 3355 processed | 202 I stole | 188 stolen from me +Node 1 (Phys 1): 3379 assigned | 3315 processed | 160 I stole | 224 stolen from me +Node 2 (Phys 2): 3421 assigned | 3445 processed | 206 I stole | 182 stolen from me +Node 3 (Phys 3): 3424 assigned | 3450 processed | 202 I stole | 176 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 724 chunks (5.3%) +Total Cross-Socket Traffic: 770 chunks (5.7%) ================================================================= real 0m1.412s -user 0m9.376s -sys 0m24.978s +user 0m9.587s +sys 0m24.973s -CPU UTILIZATION: 24.330 / 28 +CPU UTILIZATION: 24.475 / 28 ----------------------------------------- @@ -4024,20 +4024,20 @@ CPU UTILIZATION: 24.330 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3419 assigned | 3400 processed | 86 I stole | 105 stolen from me -Node 1 (Phys 1): 3413 assigned | 3408 processed | 90 I stole | 95 stolen from me -Node 2 (Phys 2): 3380 assigned | 3389 processed | 88 I stole | 79 stolen from me -Node 3 (Phys 3): 3353 assigned | 3368 processed | 91 I stole | 76 stolen from me +Node 0 (Phys 0): 3408 assigned | 3393 processed | 84 I stole | 99 stolen from me +Node 1 (Phys 1): 3413 assigned | 3401 processed | 82 I stole | 94 stolen from me +Node 2 (Phys 2): 3378 assigned | 3397 processed | 90 I stole | 71 stolen from me +Node 3 (Phys 3): 3366 assigned | 3374 processed | 85 I stole | 77 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 355 chunks (2.6%) +Total Cross-Socket Traffic: 341 chunks (2.5%) ================================================================= -28349 -real 0m1.478s -user 0m9.358s -sys 0m25.062s +28350 +real 0m1.489s +user 0m9.535s +sys 0m25.180s -CPU UTILIZATION: 23.288 / 28 +CPU UTILIZATION: 23.314 / 28 ----------------------------------------- @@ -4046,19 +4046,19 @@ CPU UTILIZATION: 23.288 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m2.014s -user 0m26.998s -sys 0m23.819s +real 0m2.019s +user 0m27.300s +sys 0m23.679s -CPU UTILIZATION: 25.231 / 28 +CPU UTILIZATION: 25.249 / 28 ----------------------------------------- @@ -4068,19 +4068,19 @@ CPU UTILIZATION: 25.231 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m2.232s -user 0m25.016s -sys 0m25.500s +real 0m2.243s +user 0m24.989s +sys 0m25.765s -CPU UTILIZATION: 22.632 / 28 +CPU UTILIZATION: 22.627 / 28 ----------------------------------------- @@ -4089,19 +4089,19 @@ CPU UTILIZATION: 22.632 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3433 assigned | 3408 processed | 171 I stole | 196 stolen from me -Node 1 (Phys 1): 3379 assigned | 3371 processed | 156 I stole | 164 stolen from me -Node 2 (Phys 2): 3379 assigned | 3388 processed | 166 I stole | 157 stolen from me -Node 3 (Phys 3): 3374 assigned | 3398 processed | 167 I stole | 143 stolen from me +Node 0 (Phys 0): 3396 assigned | 3391 processed | 198 I stole | 203 stolen from me +Node 1 (Phys 1): 3394 assigned | 3386 processed | 201 I stole | 209 stolen from me +Node 2 (Phys 2): 3393 assigned | 3411 processed | 199 I stole | 181 stolen from me +Node 3 (Phys 3): 3382 assigned | 3377 processed | 185 I stole | 190 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 660 chunks (4.9%) +Total Cross-Socket Traffic: 783 chunks (5.8%) ================================================================= -real 0m2.132s -user 0m28.947s -sys 0m24.985s +real 0m2.142s +user 0m29.193s +sys 0m25.101s -CPU UTILIZATION: 25.296 / 28 +CPU UTILIZATION: 25.347 / 28 ----------------------------------------- @@ -4110,20 +4110,20 @@ CPU UTILIZATION: 25.296 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3395 assigned | 3399 processed | 18 I stole | 14 stolen from me -Node 1 (Phys 1): 3388 assigned | 3382 processed | 11 I stole | 17 stolen from me -Node 2 (Phys 2): 3388 assigned | 3392 processed | 17 I stole | 13 stolen from me -Node 3 (Phys 3): 3394 assigned | 3392 processed | 13 I stole | 15 stolen from me +Node 0 (Phys 0): 3386 assigned | 3385 processed | 31 I stole | 32 stolen from me +Node 1 (Phys 1): 3419 assigned | 3414 processed | 29 I stole | 34 stolen from me +Node 2 (Phys 2): 3380 assigned | 3381 processed | 25 I stole | 24 stolen from me +Node 3 (Phys 3): 3380 assigned | 3385 processed | 25 I stole | 20 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 59 chunks (0.4%) +Total Cross-Socket Traffic: 110 chunks (0.8%) ================================================================= 100000000 real 0m2.334s -user 0m26.956s -sys 0m26.688s +user 0m26.601s +sys 0m27.228s -CPU UTILIZATION: 22.983 / 28 +CPU UTILIZATION: 23.062 / 28 ----------------------------------------- @@ -4132,19 +4132,19 @@ CPU UTILIZATION: 22.983 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 104 assigned | 104 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= real 0m0.735s -user 0m1.818s -sys 0m15.548s +user 0m1.831s +sys 0m15.659s -CPU UTILIZATION: 23.627 / 28 +CPU UTILIZATION: 23.795 / 28 ----------------------------------------- @@ -4154,19 +4154,19 @@ CPU UTILIZATION: 23.627 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 105 assigned | 105 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m0.738s -user 0m1.821s -sys 0m15.603s +real 0m0.732s +user 0m1.860s +sys 0m15.644s -CPU UTILIZATION: 23.609 / 28 +CPU UTILIZATION: 23.912 / 28 ----------------------------------------- @@ -4175,19 +4175,19 @@ CPU UTILIZATION: 23.609 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3406 assigned | 3385 processed | 255 I stole | 276 stolen from me -Node 1 (Phys 1): 3320 assigned | 3299 processed | 255 I stole | 276 stolen from me -Node 2 (Phys 2): 3396 assigned | 3415 processed | 269 I stole | 250 stolen from me -Node 3 (Phys 3): 3443 assigned | 3466 processed | 243 I stole | 220 stolen from me +Node 0 (Phys 0): 3415 assigned | 3379 processed | 194 I stole | 230 stolen from me +Node 1 (Phys 1): 3416 assigned | 3392 processed | 179 I stole | 203 stolen from me +Node 2 (Phys 2): 3374 assigned | 3428 processed | 231 I stole | 177 stolen from me +Node 3 (Phys 3): 3360 assigned | 3366 processed | 199 I stole | 193 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1022 chunks (7.5%) +Total Cross-Socket Traffic: 803 chunks (5.9%) ================================================================= -real 0m1.053s -user 0m4.513s -sys 0m20.118s +real 0m1.071s +user 0m4.637s +sys 0m20.103s -CPU UTILIZATION: 23.391 / 28 +CPU UTILIZATION: 23.099 / 28 ----------------------------------------- @@ -4196,20 +4196,20 @@ CPU UTILIZATION: 23.391 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3406 assigned | 3378 processed | 218 I stole | 246 stolen from me -Node 1 (Phys 1): 3420 assigned | 3399 processed | 223 I stole | 244 stolen from me -Node 2 (Phys 2): 3372 assigned | 3368 processed | 208 I stole | 212 stolen from me -Node 3 (Phys 3): 3367 assigned | 3420 processed | 229 I stole | 176 stolen from me +Node 0 (Phys 0): 3452 assigned | 3416 processed | 261 I stole | 297 stolen from me +Node 1 (Phys 1): 3426 assigned | 3457 processed | 290 I stole | 259 stolen from me +Node 2 (Phys 2): 3319 assigned | 3331 processed | 260 I stole | 248 stolen from me +Node 3 (Phys 3): 3368 assigned | 3361 processed | 243 I stole | 250 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 878 chunks (6.5%) +Total Cross-Socket Traffic: 1054 chunks (7.8%) ================================================================= 0 -real 0m1.058s -user 0m4.558s -sys 0m20.127s +real 0m1.063s +user 0m4.656s +sys 0m20.085s -CPU UTILIZATION: 23.331 / 28 +CPU UTILIZATION: 23.274 / 28 ----------------------------------------- @@ -4218,19 +4218,19 @@ CPU UTILIZATION: 23.331 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 108 assigned | 107 processed | 0 I stole | 1 stolen from me +Node 1 (Phys 1): 107 assigned | 108 processed | 1 I stole | 0 stolen from me +Node 2 (Phys 2): 105 assigned | 105 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 1 chunks (0.2%) ================================================================= -real 0m0.797s -user 0m3.335s -sys 0m15.855s +real 0m0.814s +user 0m3.365s +sys 0m15.845s -CPU UTILIZATION: 24.077 / 28 +CPU UTILIZATION: 23.599 / 28 ----------------------------------------- @@ -4248,11 +4248,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 4860 -real 0m0.878s -user 0m3.319s -sys 0m16.852s +real 0m0.896s +user 0m3.285s +sys 0m17.200s -CPU UTILIZATION: 22.973 / 28 +CPU UTILIZATION: 22.862 / 28 ----------------------------------------- @@ -4261,19 +4261,19 @@ CPU UTILIZATION: 22.973 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3430 assigned | 3386 processed | 218 I stole | 262 stolen from me -Node 1 (Phys 1): 3444 assigned | 3491 processed | 251 I stole | 204 stolen from me -Node 2 (Phys 2): 3386 assigned | 3377 processed | 211 I stole | 220 stolen from me -Node 3 (Phys 3): 3305 assigned | 3311 processed | 219 I stole | 213 stolen from me +Node 0 (Phys 0): 3444 assigned | 3435 processed | 220 I stole | 229 stolen from me +Node 1 (Phys 1): 3408 assigned | 3439 processed | 224 I stole | 193 stolen from me +Node 2 (Phys 2): 3330 assigned | 3283 processed | 185 I stole | 232 stolen from me +Node 3 (Phys 3): 3383 assigned | 3408 processed | 201 I stole | 176 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 899 chunks (6.6%) +Total Cross-Socket Traffic: 830 chunks (6.1%) ================================================================= -real 0m1.141s -user 0m5.740s +real 0m1.172s +user 0m5.861s sys 0m20.924s -CPU UTILIZATION: 23.368 / 28 +CPU UTILIZATION: 22.854 / 28 ----------------------------------------- @@ -4282,20 +4282,20 @@ CPU UTILIZATION: 23.368 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3419 assigned | 3407 processed | 176 I stole | 188 stolen from me -Node 1 (Phys 1): 3410 assigned | 3401 processed | 170 I stole | 179 stolen from me -Node 2 (Phys 2): 3375 assigned | 3384 processed | 186 I stole | 177 stolen from me -Node 3 (Phys 3): 3361 assigned | 3373 processed | 157 I stole | 145 stolen from me +Node 0 (Phys 0): 3385 assigned | 3374 processed | 192 I stole | 203 stolen from me +Node 1 (Phys 1): 3402 assigned | 3397 processed | 183 I stole | 188 stolen from me +Node 2 (Phys 2): 3378 assigned | 3352 processed | 169 I stole | 195 stolen from me +Node 3 (Phys 3): 3400 assigned | 3442 processed | 185 I stole | 143 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 689 chunks (5.1%) +Total Cross-Socket Traffic: 729 chunks (5.4%) ================================================================= -14832 -real 0m1.197s -user 0m5.566s -sys 0m21.809s +14837 +real 0m1.196s +user 0m5.798s +sys 0m21.765s -CPU UTILIZATION: 22.869 / 28 +CPU UTILIZATION: 23.045 / 28 ----------------------------------------- @@ -4305,18 +4305,18 @@ CPU UTILIZATION: 22.869 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.572s -user 0m24.154s -sys 0m16.090s +real 0m1.568s +user 0m24.159s +sys 0m16.182s -CPU UTILIZATION: 25.600 / 28 +CPU UTILIZATION: 25.727 / 28 ----------------------------------------- @@ -4325,20 +4325,20 @@ CPU UTILIZATION: 25.600 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m1.688s -user 0m22.384s -sys 0m16.176s +real 0m1.673s +user 0m22.341s +sys 0m16.014s -CPU UTILIZATION: 22.843 / 28 +CPU UTILIZATION: 22.925 / 28 ----------------------------------------- @@ -4347,19 +4347,19 @@ CPU UTILIZATION: 22.843 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3440 assigned | 3405 processed | 209 I stole | 244 stolen from me -Node 1 (Phys 1): 3370 assigned | 3381 processed | 197 I stole | 186 stolen from me -Node 2 (Phys 2): 3358 assigned | 3384 processed | 229 I stole | 203 stolen from me -Node 3 (Phys 3): 3397 assigned | 3395 processed | 172 I stole | 174 stolen from me +Node 0 (Phys 0): 3388 assigned | 3395 processed | 402 I stole | 395 stolen from me +Node 1 (Phys 1): 3367 assigned | 3365 processed | 371 I stole | 373 stolen from me +Node 2 (Phys 2): 3417 assigned | 3400 processed | 355 I stole | 372 stolen from me +Node 3 (Phys 3): 3393 assigned | 3405 processed | 355 I stole | 343 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 807 chunks (5.9%) +Total Cross-Socket Traffic: 1483 chunks (10.9%) ================================================================= -real 0m1.837s -user 0m26.635s -sys 0m20.120s +real 0m1.859s +user 0m26.875s +sys 0m20.277s -CPU UTILIZATION: 25.451 / 28 +CPU UTILIZATION: 25.364 / 28 ----------------------------------------- @@ -4368,20 +4368,20 @@ CPU UTILIZATION: 25.451 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3430 assigned | 3397 processed | 101 I stole | 134 stolen from me -Node 1 (Phys 1): 3398 assigned | 3394 processed | 113 I stole | 117 stolen from me -Node 2 (Phys 2): 3371 assigned | 3386 processed | 106 I stole | 91 stolen from me -Node 3 (Phys 3): 3366 assigned | 3388 processed | 100 I stole | 78 stolen from me +Node 0 (Phys 0): 3410 assigned | 3393 processed | 112 I stole | 129 stolen from me +Node 1 (Phys 1): 3394 assigned | 3399 processed | 100 I stole | 95 stolen from me +Node 2 (Phys 2): 3398 assigned | 3382 processed | 76 I stole | 92 stolen from me +Node 3 (Phys 3): 3363 assigned | 3391 processed | 100 I stole | 72 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 420 chunks (3.1%) +Total Cross-Socket Traffic: 388 chunks (2.9%) ================================================================= 100000000 -real 0m2.056s -user 0m24.551s -sys 0m21.774s +real 0m2.044s +user 0m24.412s +sys 0m21.543s -CPU UTILIZATION: 22.531 / 28 +CPU UTILIZATION: 22.482 / 28 ----------------------------------------- @@ -4390,19 +4390,19 @@ CPU UTILIZATION: 22.531 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 108 assigned | 108 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 103 assigned | 103 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m4.300s -user 1m55.289s -sys 0m1.770s +real 0m4.326s +user 1m55.733s +sys 0m1.864s -CPU UTILIZATION: 27.223 / 28 +CPU UTILIZATION: 27.183 / 28 ----------------------------------------- @@ -4411,20 +4411,20 @@ CPU UTILIZATION: 27.223 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 108 assigned | 108 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 105 assigned | 105 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m4.280s -user 1m54.794s -sys 0m1.785s +real 0m4.305s +user 1m55.013s +sys 0m1.810s -CPU UTILIZATION: 27.238 / 28 +CPU UTILIZATION: 27.136 / 28 ----------------------------------------- @@ -4433,19 +4433,19 @@ CPU UTILIZATION: 27.238 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3308 assigned | 3309 processed | 7 I stole | 6 stolen from me -Node 1 (Phys 1): 3426 assigned | 3424 processed | 3 I stole | 5 stolen from me -Node 2 (Phys 2): 3471 assigned | 3467 processed | 2 I stole | 6 stolen from me -Node 3 (Phys 3): 3360 assigned | 3365 processed | 7 I stole | 2 stolen from me +Node 0 (Phys 0): 3347 assigned | 3345 processed | 8 I stole | 10 stolen from me +Node 1 (Phys 1): 3466 assigned | 3473 processed | 10 I stole | 3 stolen from me +Node 2 (Phys 2): 3219 assigned | 3220 processed | 9 I stole | 8 stolen from me +Node 3 (Phys 3): 3533 assigned | 3527 processed | 6 I stole | 12 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 19 chunks (0.1%) +Total Cross-Socket Traffic: 33 chunks (0.2%) ================================================================= -real 0m4.389s -user 1m57.353s -sys 0m2.397s +real 0m4.407s +user 1m57.634s +sys 0m2.406s -CPU UTILIZATION: 27.284 / 28 +CPU UTILIZATION: 27.238 / 28 ----------------------------------------- @@ -4454,20 +4454,20 @@ CPU UTILIZATION: 27.284 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3383 assigned | 3387 processed | 9 I stole | 5 stolen from me -Node 1 (Phys 1): 3504 assigned | 3506 processed | 11 I stole | 9 stolen from me -Node 2 (Phys 2): 3468 assigned | 3461 processed | 4 I stole | 11 stolen from me -Node 3 (Phys 3): 3210 assigned | 3211 processed | 10 I stole | 9 stolen from me +Node 0 (Phys 0): 3399 assigned | 3401 processed | 3 I stole | 1 stolen from me +Node 1 (Phys 1): 3331 assigned | 3331 processed | 1 I stole | 1 stolen from me +Node 2 (Phys 2): 3409 assigned | 3408 processed | 1 I stole | 2 stolen from me +Node 3 (Phys 3): 3426 assigned | 3425 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 34 chunks (0.3%) +Total Cross-Socket Traffic: 5 chunks (0.0%) ================================================================= 0 -real 0m4.380s -user 1m57.022s -sys 0m2.388s +real 0m4.407s +user 1m57.600s +sys 0m2.489s -CPU UTILIZATION: 27.262 / 28 +CPU UTILIZATION: 27.249 / 28 ----------------------------------------- @@ -4476,19 +4476,19 @@ CPU UTILIZATION: 27.262 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 108 assigned | 108 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 105 assigned | 105 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m4.726s -user 2m6.202s -sys 0m2.562s +real 0m4.756s +user 2m6.539s +sys 0m2.690s -CPU UTILIZATION: 27.245 / 28 +CPU UTILIZATION: 27.171 / 28 ----------------------------------------- @@ -4497,20 +4497,20 @@ CPU UTILIZATION: 27.245 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 105 assigned | 105 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 108 assigned | 108 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 108 assigned | 108 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 104 assigned | 104 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 108 assigned | 108 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 105 assigned | 105 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 25597 -real 0m4.729s -user 2m5.532s -sys 0m2.823s +real 0m4.753s +user 2m6.503s +sys 0m2.878s -CPU UTILIZATION: 27.142 / 28 +CPU UTILIZATION: 27.220 / 28 ----------------------------------------- @@ -4519,19 +4519,19 @@ CPU UTILIZATION: 27.142 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3480 assigned | 3480 processed | 1 I stole | 1 stolen from me -Node 1 (Phys 1): 3358 assigned | 3357 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 3309 assigned | 3307 processed | 0 I stole | 2 stolen from me -Node 3 (Phys 3): 3418 assigned | 3421 processed | 3 I stole | 0 stolen from me +Node 0 (Phys 0): 3513 assigned | 3511 processed | 15 I stole | 17 stolen from me +Node 1 (Phys 1): 3304 assigned | 3305 processed | 18 I stole | 17 stolen from me +Node 2 (Phys 2): 3364 assigned | 3365 processed | 19 I stole | 18 stolen from me +Node 3 (Phys 3): 3384 assigned | 3384 processed | 22 I stole | 22 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 4 chunks (0.0%) +Total Cross-Socket Traffic: 74 chunks (0.5%) ================================================================= -real 0m4.825s -user 2m8.482s -sys 0m3.233s +real 0m4.861s +user 2m9.148s +sys 0m3.213s -CPU UTILIZATION: 27.298 / 28 +CPU UTILIZATION: 27.229 / 28 ----------------------------------------- @@ -4540,20 +4540,20 @@ CPU UTILIZATION: 27.298 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3364 assigned | 3364 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 3437 assigned | 3437 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 3465 assigned | 3465 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 3299 assigned | 3299 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 3488 assigned | 3489 processed | 2 I stole | 1 stolen from me +Node 1 (Phys 1): 3346 assigned | 3346 processed | 3 I stole | 3 stolen from me +Node 2 (Phys 2): 3432 assigned | 3430 processed | 0 I stole | 2 stolen from me +Node 3 (Phys 3): 3299 assigned | 3300 processed | 2 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 7 chunks (0.1%) ================================================================= -28349 -real 0m4.825s -user 2m8.309s -sys 0m3.566s +28350 +real 0m4.886s +user 2m9.973s +sys 0m3.446s -CPU UTILIZATION: 27.331 / 28 +CPU UTILIZATION: 27.306 / 28 ----------------------------------------- @@ -4562,19 +4562,19 @@ CPU UTILIZATION: 27.331 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 104 assigned | 104 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 108 assigned | 108 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m8.050s -user 2m49.468s -sys 0m51.388s +real 0m8.182s +user 2m51.962s +sys 0m52.611s -CPU UTILIZATION: 27.435 / 28 +CPU UTILIZATION: 27.447 / 28 ----------------------------------------- @@ -4584,19 +4584,19 @@ CPU UTILIZATION: 27.435 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 108 assigned | 108 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 104 assigned | 104 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 108 assigned | 108 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 103 assigned | 103 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m8.085s -user 2m48.917s -sys 0m52.477s +real 0m8.142s +user 2m50.715s +sys 0m52.535s -CPU UTILIZATION: 27.383 / 28 +CPU UTILIZATION: 27.419 / 28 ----------------------------------------- @@ -4605,19 +4605,19 @@ CPU UTILIZATION: 27.383 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3433 assigned | 3433 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 3342 assigned | 3342 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 3467 assigned | 3467 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 3323 assigned | 3323 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 3419 assigned | 3420 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 3510 assigned | 3510 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 3385 assigned | 3385 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 3251 assigned | 3250 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 1 chunks (0.0%) ================================================================= -real 0m8.160s -user 2m52.033s -sys 0m51.868s +real 0m8.255s +user 2m53.671s +sys 0m53.221s -CPU UTILIZATION: 27.438 / 28 +CPU UTILIZATION: 27.485 / 28 ----------------------------------------- @@ -4626,20 +4626,20 @@ CPU UTILIZATION: 27.438 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3388 assigned | 3389 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 3461 assigned | 3460 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 3404 assigned | 3405 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 3312 assigned | 3311 processed | 0 I stole | 1 stolen from me +Node 0 (Phys 0): 3459 assigned | 3459 processed | 1 I stole | 1 stolen from me +Node 1 (Phys 1): 3384 assigned | 3384 processed | 1 I stole | 1 stolen from me +Node 2 (Phys 2): 3409 assigned | 3409 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 3313 assigned | 3313 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 2 chunks (0.0%) ================================================================= 100000000 -real 0m8.160s -user 2m51.897s -sys 0m52.569s +real 0m8.346s +user 2m55.996s +sys 0m53.632s -CPU UTILIZATION: 27.508 / 28 +CPU UTILIZATION: 27.513 / 28 ----------------------------------------- @@ -4648,19 +4648,19 @@ CPU UTILIZATION: 27.508 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 109 assigned | 109 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 105 assigned | 105 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 104 assigned | 104 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m4.682s -user 2m5.225s -sys 0m1.606s +real 0m4.653s +user 2m4.006s +sys 0m1.676s -CPU UTILIZATION: 27.089 / 28 +CPU UTILIZATION: 27.010 / 28 ----------------------------------------- @@ -4670,19 +4670,19 @@ CPU UTILIZATION: 27.089 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 109 assigned | 109 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 103 assigned | 103 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m4.629s -user 2m3.789s -sys 0m1.699s +real 0m4.650s +user 2m3.864s +sys 0m1.582s -CPU UTILIZATION: 27.109 / 28 +CPU UTILIZATION: 26.977 / 28 ----------------------------------------- @@ -4691,19 +4691,19 @@ CPU UTILIZATION: 27.109 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3391 assigned | 3387 processed | 85 I stole | 89 stolen from me -Node 1 (Phys 1): 3404 assigned | 3395 processed | 71 I stole | 80 stolen from me -Node 2 (Phys 2): 3404 assigned | 3408 processed | 84 I stole | 80 stolen from me -Node 3 (Phys 3): 3366 assigned | 3375 processed | 69 I stole | 60 stolen from me +Node 0 (Phys 0): 3350 assigned | 3366 processed | 57 I stole | 41 stolen from me +Node 1 (Phys 1): 3448 assigned | 3446 processed | 44 I stole | 46 stolen from me +Node 2 (Phys 2): 3413 assigned | 3406 processed | 42 I stole | 49 stolen from me +Node 3 (Phys 3): 3354 assigned | 3347 processed | 48 I stole | 55 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 309 chunks (2.3%) +Total Cross-Socket Traffic: 191 chunks (1.4%) ================================================================= -real 0m4.402s -user 1m56.395s -sys 0m2.942s +real 0m4.401s +user 1m57.168s +sys 0m2.288s -CPU UTILIZATION: 27.109 / 28 +CPU UTILIZATION: 27.142 / 28 ----------------------------------------- @@ -4712,20 +4712,20 @@ CPU UTILIZATION: 27.109 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3421 assigned | 3451 processed | 83 I stole | 53 stolen from me -Node 1 (Phys 1): 3319 assigned | 3310 processed | 53 I stole | 62 stolen from me -Node 2 (Phys 2): 3411 assigned | 3415 processed | 63 I stole | 59 stolen from me -Node 3 (Phys 3): 3414 assigned | 3389 processed | 53 I stole | 78 stolen from me +Node 0 (Phys 0): 3378 assigned | 3358 processed | 38 I stole | 58 stolen from me +Node 1 (Phys 1): 3367 assigned | 3376 processed | 46 I stole | 37 stolen from me +Node 2 (Phys 2): 3427 assigned | 3429 processed | 47 I stole | 45 stolen from me +Node 3 (Phys 3): 3393 assigned | 3402 processed | 46 I stole | 37 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 252 chunks (1.9%) +Total Cross-Socket Traffic: 177 chunks (1.3%) ================================================================= 0 -real 0m4.413s -user 1m56.703s -sys 0m2.841s +real 0m4.398s +user 1m57.160s +sys 0m2.249s -CPU UTILIZATION: 27.089 / 28 +CPU UTILIZATION: 27.150 / 28 ----------------------------------------- @@ -4734,19 +4734,19 @@ CPU UTILIZATION: 27.089 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 104 assigned | 104 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 108 assigned | 108 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m5.016s -user 2m13.704s -sys 0m2.408s +real 0m5.029s +user 2m14.177s +sys 0m2.380s -CPU UTILIZATION: 27.135 / 28 +CPU UTILIZATION: 27.153 / 28 ----------------------------------------- @@ -4755,20 +4755,20 @@ CPU UTILIZATION: 27.135 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 108 assigned | 108 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 105 assigned | 105 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 105 assigned | 105 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 4860 -real 0m5.044s -user 2m14.068s -sys 0m2.732s +real 0m5.050s +user 2m14.143s +sys 0m2.690s -CPU UTILIZATION: 27.121 / 28 +CPU UTILIZATION: 27.095 / 28 ----------------------------------------- @@ -4777,19 +4777,19 @@ CPU UTILIZATION: 27.121 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3390 assigned | 3375 processed | 27 I stole | 42 stolen from me -Node 1 (Phys 1): 3435 assigned | 3418 processed | 26 I stole | 43 stolen from me -Node 2 (Phys 2): 3413 assigned | 3430 processed | 45 I stole | 28 stolen from me -Node 3 (Phys 3): 3327 assigned | 3342 processed | 44 I stole | 29 stolen from me +Node 0 (Phys 0): 3422 assigned | 3402 processed | 60 I stole | 80 stolen from me +Node 1 (Phys 1): 3415 assigned | 3419 processed | 76 I stole | 72 stolen from me +Node 2 (Phys 2): 3425 assigned | 3436 processed | 75 I stole | 64 stolen from me +Node 3 (Phys 3): 3303 assigned | 3308 processed | 68 I stole | 63 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 142 chunks (1.0%) +Total Cross-Socket Traffic: 279 chunks (2.1%) ================================================================= -real 0m4.907s -user 2m9.535s -sys 0m3.705s +real 0m4.827s +user 2m8.085s +sys 0m2.982s -CPU UTILIZATION: 27.153 / 28 +CPU UTILIZATION: 27.152 / 28 ----------------------------------------- @@ -4798,20 +4798,20 @@ CPU UTILIZATION: 27.153 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3420 assigned | 3440 processed | 68 I stole | 48 stolen from me -Node 1 (Phys 1): 3402 assigned | 3394 processed | 48 I stole | 56 stolen from me -Node 2 (Phys 2): 3413 assigned | 3385 processed | 38 I stole | 66 stolen from me -Node 3 (Phys 3): 3330 assigned | 3346 processed | 62 I stole | 46 stolen from me +Node 0 (Phys 0): 3439 assigned | 3425 processed | 33 I stole | 47 stolen from me +Node 1 (Phys 1): 3401 assigned | 3411 processed | 42 I stole | 32 stolen from me +Node 2 (Phys 2): 3385 assigned | 3397 processed | 36 I stole | 24 stolen from me +Node 3 (Phys 3): 3340 assigned | 3332 processed | 26 I stole | 34 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 216 chunks (1.6%) +Total Cross-Socket Traffic: 137 chunks (1.0%) ================================================================= 14836 -real 0m4.852s -user 2m8.158s -sys 0m3.968s +real 0m4.851s +user 2m8.473s +sys 0m3.389s -CPU UTILIZATION: 27.231 / 28 +CPU UTILIZATION: 27.182 / 28 ----------------------------------------- @@ -4820,19 +4820,19 @@ CPU UTILIZATION: 27.231 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 108 assigned | 108 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 104 assigned | 104 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m8.318s -user 2m56.139s -sys 0m50.922s +real 0m8.317s +user 2m55.085s +sys 0m51.983s -CPU UTILIZATION: 27.297 / 28 +CPU UTILIZATION: 27.301 / 28 ----------------------------------------- @@ -4842,19 +4842,19 @@ CPU UTILIZATION: 27.297 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 105 assigned | 105 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 108 assigned | 108 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m8.286s -user 2m54.882s -sys 0m50.980s +real 0m8.375s +user 2m55.294s +sys 0m52.182s -CPU UTILIZATION: 27.258 / 28 +CPU UTILIZATION: 27.161 / 28 ----------------------------------------- @@ -4863,19 +4863,19 @@ CPU UTILIZATION: 27.258 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3369 assigned | 3354 processed | 31 I stole | 46 stolen from me -Node 1 (Phys 1): 3429 assigned | 3416 processed | 24 I stole | 37 stolen from me -Node 2 (Phys 2): 3396 assigned | 3411 processed | 40 I stole | 25 stolen from me -Node 3 (Phys 3): 3371 assigned | 3384 processed | 34 I stole | 21 stolen from me +Node 0 (Phys 0): 3420 assigned | 3420 processed | 31 I stole | 31 stolen from me +Node 1 (Phys 1): 3326 assigned | 3337 processed | 24 I stole | 13 stolen from me +Node 2 (Phys 2): 3422 assigned | 3413 processed | 20 I stole | 29 stolen from me +Node 3 (Phys 3): 3397 assigned | 3395 processed | 20 I stole | 22 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 129 chunks (1.0%) +Total Cross-Socket Traffic: 95 chunks (0.7%) ================================================================= -real 0m8.154s -user 2m51.563s -sys 0m52.427s +real 0m8.173s +user 2m52.016s +sys 0m52.445s -CPU UTILIZATION: 27.469 / 28 +CPU UTILIZATION: 27.463 / 28 ----------------------------------------- @@ -4884,20 +4884,20 @@ CPU UTILIZATION: 27.469 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3394 assigned | 3386 processed | 27 I stole | 35 stolen from me -Node 1 (Phys 1): 3372 assigned | 3392 processed | 47 I stole | 27 stolen from me -Node 2 (Phys 2): 3343 assigned | 3347 processed | 32 I stole | 28 stolen from me -Node 3 (Phys 3): 3456 assigned | 3440 processed | 19 I stole | 35 stolen from me +Node 0 (Phys 0): 3397 assigned | 3391 processed | 34 I stole | 40 stolen from me +Node 1 (Phys 1): 3449 assigned | 3439 processed | 31 I stole | 41 stolen from me +Node 2 (Phys 2): 3362 assigned | 3380 processed | 37 I stole | 19 stolen from me +Node 3 (Phys 3): 3357 assigned | 3355 processed | 25 I stole | 27 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 125 chunks (0.9%) +Total Cross-Socket Traffic: 127 chunks (0.9%) ================================================================= 100000000 -real 0m8.160s -user 2m50.987s -sys 0m53.356s +real 0m8.210s +user 2m52.063s +sys 0m53.382s -CPU UTILIZATION: 27.493 / 28 +CPU UTILIZATION: 27.459 / 28 ----------------------------------------- @@ -4906,19 +4906,19 @@ CPU UTILIZATION: 27.493 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 107 assigned | 106 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 106 assigned | 107 processed | 1 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (0.2%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.433s -user 0m1.301s -sys 0m1.407s +real 0m0.398s +user 0m1.397s +sys 0m1.447s -CPU UTILIZATION: 6.254 / 28 +CPU UTILIZATION: 7.145 / 28 ----------------------------------------- @@ -4928,19 +4928,19 @@ CPU UTILIZATION: 6.254 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 107 assigned | 106 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 107 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 106 assigned | 107 processed | 1 I stole | 0 stolen from me +Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 1 chunks (0.2%) ================================================================= 0 -real 0m0.417s -user 0m1.344s -sys 0m1.407s +real 0m0.427s +user 0m1.318s +sys 0m1.501s -CPU UTILIZATION: 6.597 / 28 +CPU UTILIZATION: 6.601 / 28 ----------------------------------------- @@ -4949,19 +4949,19 @@ CPU UTILIZATION: 6.597 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3414 assigned | 3421 processed | 7 I stole | 0 stolen from me -Node 1 (Phys 1): 3393 assigned | 3398 processed | 8 I stole | 3 stolen from me -Node 2 (Phys 2): 3383 assigned | 3377 processed | 0 I stole | 6 stolen from me -Node 3 (Phys 3): 3375 assigned | 3369 processed | 0 I stole | 6 stolen from me +Node 0 (Phys 0): 3397 assigned | 3406 processed | 9 I stole | 0 stolen from me +Node 1 (Phys 1): 3399 assigned | 3400 processed | 3 I stole | 2 stolen from me +Node 2 (Phys 2): 3396 assigned | 3394 processed | 3 I stole | 5 stolen from me +Node 3 (Phys 3): 3373 assigned | 3365 processed | 0 I stole | 8 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 15 chunks (0.1%) ================================================================= -real 0m0.566s -user 0m4.020s -sys 0m3.659s +real 0m0.552s +user 0m4.003s +sys 0m3.590s -CPU UTILIZATION: 13.567 / 28 +CPU UTILIZATION: 13.755 / 28 ----------------------------------------- @@ -4970,20 +4970,20 @@ CPU UTILIZATION: 13.567 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3397 assigned | 3403 processed | 6 I stole | 0 stolen from me -Node 1 (Phys 1): 3410 assigned | 3404 processed | 2 I stole | 8 stolen from me -Node 2 (Phys 2): 3402 assigned | 3406 processed | 5 I stole | 1 stolen from me -Node 3 (Phys 3): 3356 assigned | 3352 processed | 2 I stole | 6 stolen from me +Node 0 (Phys 0): 3385 assigned | 3387 processed | 5 I stole | 3 stolen from me +Node 1 (Phys 1): 3412 assigned | 3422 processed | 10 I stole | 0 stolen from me +Node 2 (Phys 2): 3412 assigned | 3407 processed | 2 I stole | 7 stolen from me +Node 3 (Phys 3): 3356 assigned | 3349 processed | 0 I stole | 7 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 15 chunks (0.1%) +Total Cross-Socket Traffic: 17 chunks (0.1%) ================================================================= 0 -real 0m0.557s -user 0m3.975s -sys 0m3.590s +real 0m0.547s +user 0m3.960s +sys 0m3.569s -CPU UTILIZATION: 13.581 / 28 +CPU UTILIZATION: 13.764 / 28 ----------------------------------------- @@ -5000,11 +5000,11 @@ Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.821s -user 0m9.217s -sys 0m9.492s +real 0m0.827s +user 0m9.379s +sys 0m9.606s -CPU UTILIZATION: 22.788 / 28 +CPU UTILIZATION: 22.956 / 28 ----------------------------------------- @@ -5022,11 +5022,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m0.899s -user 0m9.251s -sys 0m9.920s +real 0m0.906s +user 0m9.357s +sys 0m10.021s -CPU UTILIZATION: 21.324 / 28 +CPU UTILIZATION: 21.388 / 28 ----------------------------------------- @@ -5035,19 +5035,19 @@ CPU UTILIZATION: 21.324 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3389 assigned | 3369 processed | 109 I stole | 129 stolen from me -Node 1 (Phys 1): 3419 assigned | 3421 processed | 126 I stole | 124 stolen from me -Node 2 (Phys 2): 3451 assigned | 3461 processed | 124 I stole | 114 stolen from me -Node 3 (Phys 3): 3306 assigned | 3314 processed | 122 I stole | 114 stolen from me +Node 0 (Phys 0): 3376 assigned | 3367 processed | 120 I stole | 129 stolen from me +Node 1 (Phys 1): 3420 assigned | 3412 processed | 98 I stole | 106 stolen from me +Node 2 (Phys 2): 3375 assigned | 3395 processed | 125 I stole | 105 stolen from me +Node 3 (Phys 3): 3394 assigned | 3391 processed | 102 I stole | 105 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 481 chunks (3.5%) +Total Cross-Socket Traffic: 445 chunks (3.3%) ================================================================= -real 0m0.987s -user 0m11.912s -sys 0m10.951s +real 0m1.020s +user 0m12.161s +sys 0m11.062s -CPU UTILIZATION: 23.164 / 28 +CPU UTILIZATION: 22.767 / 28 ----------------------------------------- @@ -5056,20 +5056,20 @@ CPU UTILIZATION: 23.164 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3484 assigned | 3485 processed | 132 I stole | 131 stolen from me -Node 1 (Phys 1): 3412 assigned | 3378 processed | 93 I stole | 127 stolen from me -Node 2 (Phys 2): 3386 assigned | 3392 processed | 110 I stole | 104 stolen from me -Node 3 (Phys 3): 3283 assigned | 3310 processed | 123 I stole | 96 stolen from me +Node 0 (Phys 0): 3418 assigned | 3390 processed | 95 I stole | 123 stolen from me +Node 1 (Phys 1): 3399 assigned | 3392 processed | 105 I stole | 112 stolen from me +Node 2 (Phys 2): 3411 assigned | 3424 processed | 123 I stole | 110 stolen from me +Node 3 (Phys 3): 3337 assigned | 3359 processed | 118 I stole | 96 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 458 chunks (3.4%) +Total Cross-Socket Traffic: 441 chunks (3.3%) ================================================================= 100000000 -real 0m1.012s -user 0m12.080s -sys 0m11.354s +real 0m1.028s +user 0m12.346s +sys 0m11.368s -CPU UTILIZATION: 23.156 / 28 +CPU UTILIZATION: 23.068 / 28 ----------------------------------------- @@ -5086,11 +5086,11 @@ Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.798s -user 0m9.209s -sys 0m9.080s +real 0m0.812s +user 0m9.400s +sys 0m9.133s -CPU UTILIZATION: 22.918 / 28 +CPU UTILIZATION: 22.823 / 28 ----------------------------------------- @@ -5100,19 +5100,19 @@ CPU UTILIZATION: 22.918 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m0.885s -user 0m9.352s -sys 0m9.306s +real 0m0.894s +user 0m9.451s +sys 0m9.472s -CPU UTILIZATION: 21.082 / 28 +CPU UTILIZATION: 21.166 / 28 ----------------------------------------- @@ -5121,19 +5121,19 @@ CPU UTILIZATION: 21.082 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3347 assigned | 3358 processed | 126 I stole | 115 stolen from me -Node 1 (Phys 1): 3450 assigned | 3447 processed | 101 I stole | 104 stolen from me -Node 2 (Phys 2): 3320 assigned | 3305 processed | 99 I stole | 114 stolen from me -Node 3 (Phys 3): 3448 assigned | 3455 processed | 105 I stole | 98 stolen from me +Node 0 (Phys 0): 3489 assigned | 3524 processed | 105 I stole | 70 stolen from me +Node 1 (Phys 1): 3293 assigned | 3249 processed | 58 I stole | 102 stolen from me +Node 2 (Phys 2): 3370 assigned | 3369 processed | 81 I stole | 82 stolen from me +Node 3 (Phys 3): 3413 assigned | 3423 processed | 80 I stole | 70 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 431 chunks (3.2%) +Total Cross-Socket Traffic: 324 chunks (2.4%) ================================================================= -real 0m0.980s -user 0m11.849s -sys 0m10.578s +real 0m1.005s +user 0m12.175s +sys 0m10.564s -CPU UTILIZATION: 22.884 / 28 +CPU UTILIZATION: 22.625 / 28 ----------------------------------------- @@ -5142,20 +5142,20 @@ CPU UTILIZATION: 22.884 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3356 assigned | 3345 processed | 81 I stole | 92 stolen from me -Node 1 (Phys 1): 3437 assigned | 3432 processed | 97 I stole | 102 stolen from me -Node 2 (Phys 2): 3453 assigned | 3458 processed | 90 I stole | 85 stolen from me -Node 3 (Phys 3): 3319 assigned | 3330 processed | 87 I stole | 76 stolen from me +Node 0 (Phys 0): 3403 assigned | 3418 processed | 104 I stole | 89 stolen from me +Node 1 (Phys 1): 3297 assigned | 3265 processed | 85 I stole | 117 stolen from me +Node 2 (Phys 2): 3419 assigned | 3426 processed | 90 I stole | 83 stolen from me +Node 3 (Phys 3): 3446 assigned | 3456 processed | 90 I stole | 80 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 355 chunks (2.6%) +Total Cross-Socket Traffic: 369 chunks (2.7%) ================================================================= -100000000 -real 0m0.992s -user 0m12.129s -sys 0m10.805s +100000454 +real 0m1.048s +user 0m12.203s +sys 0m11.260s -CPU UTILIZATION: 23.118 / 28 +CPU UTILIZATION: 22.388 / 28 ----------------------------------------- @@ -5164,19 +5164,19 @@ CPU UTILIZATION: 23.118 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 107 assigned | 106 processed | 0 I stole | 1 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 107 processed | 1 I stole | 0 stolen from me +Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (0.2%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.389s -user 0m0.174s -sys 0m0.704s +real 0m0.368s +user 0m0.171s +sys 0m0.686s -CPU UTILIZATION: 2.257 / 28 +CPU UTILIZATION: 2.328 / 28 ----------------------------------------- @@ -5194,11 +5194,11 @@ Total Cross-Socket Traffic: 1 chunks (0.2%) ================================================================= 0 -real 0m0.397s -user 0m0.168s -sys 0m0.716s +real 0m0.375s +user 0m0.163s +sys 0m0.713s -CPU UTILIZATION: 2.226 / 28 +CPU UTILIZATION: 2.336 / 28 ----------------------------------------- @@ -5207,19 +5207,19 @@ CPU UTILIZATION: 2.226 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3391 assigned | 3401 processed | 10 I stole | 0 stolen from me -Node 1 (Phys 1): 3393 assigned | 3389 processed | 0 I stole | 4 stolen from me -Node 2 (Phys 2): 3391 assigned | 3386 processed | 0 I stole | 5 stolen from me -Node 3 (Phys 3): 3390 assigned | 3389 processed | 1 I stole | 2 stolen from me +Node 0 (Phys 0): 3398 assigned | 3408 processed | 10 I stole | 0 stolen from me +Node 1 (Phys 1): 3393 assigned | 3390 processed | 2 I stole | 5 stolen from me +Node 2 (Phys 2): 3389 assigned | 3385 processed | 0 I stole | 4 stolen from me +Node 3 (Phys 3): 3385 assigned | 3382 processed | 0 I stole | 3 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 11 chunks (0.1%) +Total Cross-Socket Traffic: 12 chunks (0.1%) ================================================================= -real 0m0.492s -user 0m1.706s -sys 0m1.593s +real 0m0.460s +user 0m1.683s +sys 0m1.549s -CPU UTILIZATION: 6.705 / 28 +CPU UTILIZATION: 7.026 / 28 ----------------------------------------- @@ -5228,20 +5228,20 @@ CPU UTILIZATION: 6.705 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3399 assigned | 3402 processed | 4 I stole | 1 stolen from me -Node 1 (Phys 1): 3392 assigned | 3395 processed | 4 I stole | 1 stolen from me -Node 2 (Phys 2): 3386 assigned | 3383 processed | 1 I stole | 4 stolen from me -Node 3 (Phys 3): 3388 assigned | 3385 processed | 1 I stole | 4 stolen from me +Node 0 (Phys 0): 3407 assigned | 3418 processed | 13 I stole | 2 stolen from me +Node 1 (Phys 1): 3392 assigned | 3389 processed | 3 I stole | 6 stolen from me +Node 2 (Phys 2): 3386 assigned | 3380 processed | 1 I stole | 7 stolen from me +Node 3 (Phys 3): 3380 assigned | 3378 processed | 1 I stole | 3 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 10 chunks (0.1%) +Total Cross-Socket Traffic: 18 chunks (0.1%) ================================================================= 0 -real 0m0.476s -user 0m1.679s -sys 0m1.580s +real 0m0.443s +user 0m1.629s +sys 0m1.485s -CPU UTILIZATION: 6.846 / 28 +CPU UTILIZATION: 7.029 / 28 ----------------------------------------- @@ -5258,11 +5258,11 @@ Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.407s -user 0m0.626s -sys 0m1.351s +real 0m0.371s +user 0m0.629s +sys 0m1.268s -CPU UTILIZATION: 4.857 / 28 +CPU UTILIZATION: 5.113 / 28 ----------------------------------------- @@ -5280,11 +5280,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m0.405s -user 0m0.637s -sys 0m1.603s +real 0m0.394s +user 0m0.650s +sys 0m1.647s -CPU UTILIZATION: 5.530 / 28 +CPU UTILIZATION: 5.829 / 28 ----------------------------------------- @@ -5293,19 +5293,19 @@ CPU UTILIZATION: 5.530 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3399 assigned | 3402 processed | 11 I stole | 8 stolen from me -Node 1 (Phys 1): 3381 assigned | 3378 processed | 6 I stole | 9 stolen from me -Node 2 (Phys 2): 3404 assigned | 3401 processed | 5 I stole | 8 stolen from me -Node 3 (Phys 3): 3381 assigned | 3384 processed | 9 I stole | 6 stolen from me +Node 0 (Phys 0): 3391 assigned | 3397 processed | 10 I stole | 4 stolen from me +Node 1 (Phys 1): 3402 assigned | 3402 processed | 7 I stole | 7 stolen from me +Node 2 (Phys 2): 3386 assigned | 3381 processed | 1 I stole | 6 stolen from me +Node 3 (Phys 3): 3386 assigned | 3385 processed | 5 I stole | 6 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 31 chunks (0.2%) +Total Cross-Socket Traffic: 23 chunks (0.2%) ================================================================= -real 0m0.717s -user 0m4.686s -sys 0m4.398s +real 0m0.720s +user 0m4.800s +sys 0m4.358s -CPU UTILIZATION: 12.669 / 28 +CPU UTILIZATION: 12.719 / 28 ----------------------------------------- @@ -5314,20 +5314,20 @@ CPU UTILIZATION: 12.669 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3411 assigned | 3401 processed | 3 I stole | 13 stolen from me -Node 1 (Phys 1): 3391 assigned | 3396 processed | 10 I stole | 5 stolen from me -Node 2 (Phys 2): 3388 assigned | 3391 processed | 8 I stole | 5 stolen from me -Node 3 (Phys 3): 3375 assigned | 3377 processed | 6 I stole | 4 stolen from me +Node 0 (Phys 0): 3404 assigned | 3394 processed | 8 I stole | 18 stolen from me +Node 1 (Phys 1): 3397 assigned | 3395 processed | 9 I stole | 11 stolen from me +Node 2 (Phys 2): 3390 assigned | 3397 processed | 17 I stole | 10 stolen from me +Node 3 (Phys 3): 3374 assigned | 3379 processed | 10 I stole | 5 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 27 chunks (0.2%) +Total Cross-Socket Traffic: 44 chunks (0.3%) ================================================================= 100000000 -real 0m0.726s -user 0m4.767s -sys 0m4.713s +real 0m0.737s +user 0m4.818s +sys 0m4.785s -CPU UTILIZATION: 13.057 / 28 +CPU UTILIZATION: 13.029 / 28 ----------------------------------------- @@ -5345,10 +5345,10 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= real 0m0.389s -user 0m0.663s -sys 0m1.279s +user 0m0.729s +sys 0m1.366s -CPU UTILIZATION: 4.992 / 28 +CPU UTILIZATION: 5.385 / 28 ----------------------------------------- @@ -5366,11 +5366,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m0.393s -user 0m0.651s -sys 0m1.625s +real 0m0.403s +user 0m0.686s +sys 0m1.729s -CPU UTILIZATION: 5.791 / 28 +CPU UTILIZATION: 5.992 / 28 ----------------------------------------- @@ -5379,19 +5379,19 @@ CPU UTILIZATION: 5.791 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3400 assigned | 3397 processed | 12 I stole | 15 stolen from me -Node 1 (Phys 1): 3404 assigned | 3400 processed | 10 I stole | 14 stolen from me -Node 2 (Phys 2): 3387 assigned | 3397 processed | 16 I stole | 6 stolen from me -Node 3 (Phys 3): 3374 assigned | 3371 processed | 13 I stole | 16 stolen from me +Node 0 (Phys 0): 3393 assigned | 3399 processed | 18 I stole | 12 stolen from me +Node 1 (Phys 1): 3386 assigned | 3383 processed | 10 I stole | 13 stolen from me +Node 2 (Phys 2): 3404 assigned | 3401 processed | 7 I stole | 10 stolen from me +Node 3 (Phys 3): 3382 assigned | 3382 processed | 8 I stole | 8 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 51 chunks (0.4%) +Total Cross-Socket Traffic: 43 chunks (0.3%) ================================================================= -real 0m0.691s -user 0m4.650s -sys 0m4.104s +real 0m0.697s +user 0m4.714s +sys 0m4.111s -CPU UTILIZATION: 12.668 / 28 +CPU UTILIZATION: 12.661 / 28 ----------------------------------------- @@ -5400,20 +5400,20 @@ CPU UTILIZATION: 12.668 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3385 assigned | 3380 processed | 9 I stole | 14 stolen from me -Node 1 (Phys 1): 3401 assigned | 3405 processed | 15 I stole | 11 stolen from me -Node 2 (Phys 2): 3403 assigned | 3401 processed | 4 I stole | 6 stolen from me -Node 3 (Phys 3): 3376 assigned | 3379 processed | 7 I stole | 4 stolen from me +Node 0 (Phys 0): 3403 assigned | 3399 processed | 4 I stole | 8 stolen from me +Node 1 (Phys 1): 3400 assigned | 3396 processed | 4 I stole | 8 stolen from me +Node 2 (Phys 2): 3369 assigned | 3375 processed | 9 I stole | 3 stolen from me +Node 3 (Phys 3): 3393 assigned | 3395 processed | 6 I stole | 4 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 35 chunks (0.3%) +Total Cross-Socket Traffic: 23 chunks (0.2%) ================================================================= 100000000 -real 0m0.701s -user 0m4.760s -sys 0m4.476s +real 0m0.711s +user 0m4.803s +sys 0m4.489s -CPU UTILIZATION: 13.175 / 28 +CPU UTILIZATION: 13.068 / 28 ----------------------------------------- @@ -5422,19 +5422,19 @@ CPU UTILIZATION: 13.175 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 110 assigned | 110 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 105 assigned | 105 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 108 assigned | 108 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 102 assigned | 102 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 108 assigned | 108 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 109 assigned | 109 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 101 assigned | 101 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.770s -user 0m13.662s -sys 0m5.440s +real 0m0.805s +user 0m14.246s +sys 0m5.520s -CPU UTILIZATION: 24.807 / 28 +CPU UTILIZATION: 24.554 / 28 ----------------------------------------- @@ -5443,20 +5443,20 @@ CPU UTILIZATION: 24.807 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 108 assigned | 108 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 108 assigned | 108 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 102 assigned | 102 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 104 assigned | 104 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m0.771s -user 0m13.523s -sys 0m5.511s +real 0m0.806s +user 0m14.338s +sys 0m5.632s -CPU UTILIZATION: 24.687 / 28 +CPU UTILIZATION: 24.776 / 28 ----------------------------------------- @@ -5465,19 +5465,19 @@ CPU UTILIZATION: 24.687 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3424 assigned | 3429 processed | 268 I stole | 263 stolen from me -Node 1 (Phys 1): 3366 assigned | 3372 processed | 230 I stole | 224 stolen from me -Node 2 (Phys 2): 3356 assigned | 3348 processed | 211 I stole | 219 stolen from me -Node 3 (Phys 3): 3419 assigned | 3416 processed | 204 I stole | 207 stolen from me +Node 0 (Phys 0): 3445 assigned | 3411 processed | 241 I stole | 275 stolen from me +Node 1 (Phys 1): 3407 assigned | 3404 processed | 240 I stole | 243 stolen from me +Node 2 (Phys 2): 3327 assigned | 3349 processed | 245 I stole | 223 stolen from me +Node 3 (Phys 3): 3386 assigned | 3401 processed | 226 I stole | 211 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 913 chunks (6.7%) +Total Cross-Socket Traffic: 952 chunks (7.0%) ================================================================= -real 0m1.011s -user 0m14.358s -sys 0m7.422s +real 0m1.021s +user 0m14.947s +sys 0m7.153s -CPU UTILIZATION: 21.543 / 28 +CPU UTILIZATION: 21.645 / 28 ----------------------------------------- @@ -5486,20 +5486,20 @@ CPU UTILIZATION: 21.543 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3412 assigned | 3367 processed | 227 I stole | 272 stolen from me -Node 1 (Phys 1): 3436 assigned | 3428 processed | 223 I stole | 231 stolen from me -Node 2 (Phys 2): 3428 assigned | 3466 processed | 238 I stole | 200 stolen from me -Node 3 (Phys 3): 3289 assigned | 3304 processed | 211 I stole | 196 stolen from me +Node 0 (Phys 0): 3429 assigned | 3384 processed | 221 I stole | 266 stolen from me +Node 1 (Phys 1): 3428 assigned | 3392 processed | 204 I stole | 240 stolen from me +Node 2 (Phys 2): 3387 assigned | 3413 processed | 218 I stole | 192 stolen from me +Node 3 (Phys 3): 3321 assigned | 3376 processed | 236 I stole | 181 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 899 chunks (6.6%) +Total Cross-Socket Traffic: 879 chunks (6.5%) ================================================================= 0 -real 0m1.017s -user 0m14.228s -sys 0m7.559s +real 0m1.047s +user 0m15.099s +sys 0m7.540s -CPU UTILIZATION: 21.422 / 28 +CPU UTILIZATION: 21.622 / 28 ----------------------------------------- @@ -5508,19 +5508,19 @@ CPU UTILIZATION: 21.422 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m5.692s -user 1m16.386s -sys 1m3.452s +real 0m5.762s +user 1m17.120s +sys 1m4.553s -CPU UTILIZATION: 24.567 / 28 +CPU UTILIZATION: 24.587 / 28 ----------------------------------------- @@ -5529,20 +5529,20 @@ CPU UTILIZATION: 24.567 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m5.706s -user 1m16.682s -sys 1m3.840s +real 0m5.788s +user 1m17.311s +sys 1m5.065s -CPU UTILIZATION: 24.627 / 28 +CPU UTILIZATION: 24.598 / 28 ----------------------------------------- @@ -5551,19 +5551,19 @@ CPU UTILIZATION: 24.627 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3393 assigned | 3393 processed | 1 I stole | 1 stolen from me -Node 1 (Phys 1): 3394 assigned | 3395 processed | 2 I stole | 1 stolen from me -Node 2 (Phys 2): 3390 assigned | 3390 processed | 1 I stole | 1 stolen from me -Node 3 (Phys 3): 3388 assigned | 3387 processed | 1 I stole | 2 stolen from me +Node 0 (Phys 0): 3395 assigned | 3396 processed | 2 I stole | 1 stolen from me +Node 1 (Phys 1): 3396 assigned | 3397 processed | 2 I stole | 1 stolen from me +Node 2 (Phys 2): 3389 assigned | 3387 processed | 1 I stole | 3 stolen from me +Node 3 (Phys 3): 3385 assigned | 3385 processed | 2 I stole | 2 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 5 chunks (0.0%) +Total Cross-Socket Traffic: 7 chunks (0.1%) ================================================================= -real 0m5.708s -user 1m16.378s -sys 1m4.426s +real 0m5.783s +user 1m17.342s +sys 1m5.181s -CPU UTILIZATION: 24.667 / 28 +CPU UTILIZATION: 24.645 / 28 ----------------------------------------- @@ -5572,20 +5572,20 @@ CPU UTILIZATION: 24.667 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3400 assigned | 3400 processed | 1 I stole | 1 stolen from me -Node 1 (Phys 1): 3391 assigned | 3392 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 3385 assigned | 3385 processed | 1 I stole | 1 stolen from me -Node 3 (Phys 3): 3389 assigned | 3388 processed | 1 I stole | 2 stolen from me +Node 0 (Phys 0): 3394 assigned | 3395 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 3396 assigned | 3398 processed | 2 I stole | 0 stolen from me +Node 2 (Phys 2): 3391 assigned | 3389 processed | 0 I stole | 2 stolen from me +Node 3 (Phys 3): 3384 assigned | 3383 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 4 chunks (0.0%) +Total Cross-Socket Traffic: 3 chunks (0.0%) ================================================================= 100000000 -real 0m5.751s -user 1m16.754s -sys 1m5.469s +real 0m5.823s +user 1m17.625s +sys 1m5.841s -CPU UTILIZATION: 24.730 / 28 +CPU UTILIZATION: 24.637 / 28 ----------------------------------------- @@ -5602,11 +5602,11 @@ Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m5.618s -user 1m16.209s -sys 1m1.888s +real 0m5.681s +user 1m16.849s +sys 1m2.749s -CPU UTILIZATION: 24.581 / 28 +CPU UTILIZATION: 24.572 / 28 ----------------------------------------- @@ -5615,20 +5615,20 @@ CPU UTILIZATION: 24.581 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 100000000 -real 0m5.646s -user 1m16.105s -sys 1m2.801s +real 0m5.714s +user 1m16.951s +sys 1m3.566s -CPU UTILIZATION: 24.602 / 28 +CPU UTILIZATION: 24.591 / 28 ----------------------------------------- @@ -5637,19 +5637,19 @@ CPU UTILIZATION: 24.602 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3406 assigned | 3405 processed | 1 I stole | 2 stolen from me -Node 1 (Phys 1): 3394 assigned | 3393 processed | 1 I stole | 2 stolen from me -Node 2 (Phys 2): 3380 assigned | 3381 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 3385 assigned | 3386 processed | 1 I stole | 0 stolen from me +Node 0 (Phys 0): 3397 assigned | 3399 processed | 2 I stole | 0 stolen from me +Node 1 (Phys 1): 3396 assigned | 3396 processed | 1 I stole | 1 stolen from me +Node 2 (Phys 2): 3390 assigned | 3389 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 3382 assigned | 3381 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 4 chunks (0.0%) +Total Cross-Socket Traffic: 3 chunks (0.0%) ================================================================= -real 0m5.630s -user 1m16.321s -sys 1m2.498s +real 0m5.699s +user 1m16.931s +sys 1m3.042s -CPU UTILIZATION: 24.657 / 28 +CPU UTILIZATION: 24.560 / 28 ----------------------------------------- @@ -5658,20 +5658,20 @@ CPU UTILIZATION: 24.657 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 3390 assigned | 3392 processed | 2 I stole | 0 stolen from me -Node 1 (Phys 1): 3396 assigned | 3396 processed | 1 I stole | 1 stolen from me -Node 2 (Phys 2): 3396 assigned | 3395 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 3383 assigned | 3382 processed | 0 I stole | 1 stolen from me +Node 0 (Phys 0): 3402 assigned | 3400 processed | 0 I stole | 2 stolen from me +Node 1 (Phys 1): 3392 assigned | 3392 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 3382 assigned | 3383 processed | 1 I stole | 0 stolen from me +Node 3 (Phys 3): 3389 assigned | 3390 processed | 1 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 3 chunks (0.0%) +Total Cross-Socket Traffic: 2 chunks (0.0%) ================================================================= 100000000 -real 0m5.658s -user 1m16.383s -sys 1m3.392s +real 0m5.730s +user 1m17.112s +sys 1m4.154s -CPU UTILIZATION: 24.703 / 28 +CPU UTILIZATION: 24.653 / 28 ----------------------------------------- @@ -5680,19 +5680,19 @@ CPU UTILIZATION: 24.703 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 24 assigned | 24 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.162s -user 0m0.599s -sys 0m1.139s +real 0m0.170s +user 0m0.613s +sys 0m1.143s -CPU UTILIZATION: 10.728 / 28 +CPU UTILIZATION: 10.329 / 28 ----------------------------------------- @@ -5701,20 +5701,20 @@ CPU UTILIZATION: 10.728 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 19 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 19 assigned | 20 processed | 1 I stole | 0 stolen from me +Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 22 assigned | 21 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 19 assigned | 20 processed | 1 I stole | 0 stolen from me +Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 1 chunks (1.2%) ================================================================= 0 -real 0m0.164s -user 0m0.585s -sys 0m1.220s +real 0m0.165s +user 0m0.617s +sys 0m1.145s -CPU UTILIZATION: 11.006 / 28 +CPU UTILIZATION: 10.678 / 28 ----------------------------------------- @@ -5723,19 +5723,19 @@ CPU UTILIZATION: 11.006 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 661 assigned | 661 processed | 4 I stole | 4 stolen from me -Node 1 (Phys 1): 637 assigned | 636 processed | 1 I stole | 2 stolen from me -Node 2 (Phys 2): 636 assigned | 639 processed | 5 I stole | 2 stolen from me -Node 3 (Phys 3): 628 assigned | 626 processed | 1 I stole | 3 stolen from me +Node 0 (Phys 0): 654 assigned | 658 processed | 4 I stole | 0 stolen from me +Node 1 (Phys 1): 652 assigned | 652 processed | 1 I stole | 1 stolen from me +Node 2 (Phys 2): 629 assigned | 627 processed | 0 I stole | 2 stolen from me +Node 3 (Phys 3): 627 assigned | 625 processed | 1 I stole | 3 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 11 chunks (0.4%) +Total Cross-Socket Traffic: 6 chunks (0.2%) ================================================================= -real 0m0.221s -user 0m1.519s -sys 0m1.631s +real 0m0.219s +user 0m1.522s +sys 0m1.641s -CPU UTILIZATION: 14.253 / 28 +CPU UTILIZATION: 14.442 / 28 ----------------------------------------- @@ -5744,20 +5744,20 @@ CPU UTILIZATION: 14.253 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 646 assigned | 647 processed | 3 I stole | 2 stolen from me -Node 1 (Phys 1): 639 assigned | 640 processed | 5 I stole | 4 stolen from me -Node 2 (Phys 2): 642 assigned | 643 processed | 4 I stole | 3 stolen from me -Node 3 (Phys 3): 635 assigned | 632 processed | 1 I stole | 4 stolen from me +Node 0 (Phys 0): 647 assigned | 645 processed | 4 I stole | 6 stolen from me +Node 1 (Phys 1): 634 assigned | 639 processed | 7 I stole | 2 stolen from me +Node 2 (Phys 2): 645 assigned | 644 processed | 2 I stole | 3 stolen from me +Node 3 (Phys 3): 636 assigned | 634 processed | 2 I stole | 4 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 13 chunks (0.5%) +Total Cross-Socket Traffic: 15 chunks (0.6%) ================================================================= 0 -real 0m0.218s -user 0m1.506s -sys 0m1.644s +real 0m0.227s +user 0m1.495s +sys 0m1.693s -CPU UTILIZATION: 14.449 / 28 +CPU UTILIZATION: 14.044 / 28 ----------------------------------------- @@ -5766,19 +5766,19 @@ CPU UTILIZATION: 14.449 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 22 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 19 processed | 0 I stole | 1 stolen from me +Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (1.2%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.164s -user 0m0.641s -sys 0m1.379s +real 0m0.172s +user 0m0.670s +sys 0m1.369s -CPU UTILIZATION: 12.317 / 28 +CPU UTILIZATION: 11.854 / 28 ----------------------------------------- @@ -5787,8 +5787,8 @@ CPU UTILIZATION: 12.317 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 24 assigned | 24 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- @@ -5796,11 +5796,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 1681 -real 0m0.192s -user 0m0.677s -sys 0m1.402s +real 0m0.195s +user 0m0.669s +sys 0m1.457s -CPU UTILIZATION: 10.828 / 28 +CPU UTILIZATION: 10.902 / 28 ----------------------------------------- @@ -5809,19 +5809,19 @@ CPU UTILIZATION: 10.828 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 663 assigned | 674 processed | 12 I stole | 1 stolen from me -Node 1 (Phys 1): 635 assigned | 627 processed | 0 I stole | 8 stolen from me -Node 2 (Phys 2): 662 assigned | 666 processed | 7 I stole | 3 stolen from me -Node 3 (Phys 3): 602 assigned | 595 processed | 2 I stole | 9 stolen from me +Node 0 (Phys 0): 653 assigned | 657 processed | 8 I stole | 4 stolen from me +Node 1 (Phys 1): 650 assigned | 651 processed | 6 I stole | 5 stolen from me +Node 2 (Phys 2): 640 assigned | 643 processed | 5 I stole | 2 stolen from me +Node 3 (Phys 3): 619 assigned | 611 processed | 2 I stole | 10 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 21 chunks (0.8%) ================================================================= -real 0m0.229s -user 0m1.582s -sys 0m1.921s +real 0m0.236s +user 0m1.566s +sys 0m1.942s -CPU UTILIZATION: 15.296 / 28 +CPU UTILIZATION: 14.864 / 28 ----------------------------------------- @@ -5830,20 +5830,20 @@ CPU UTILIZATION: 15.296 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 660 assigned | 676 processed | 20 I stole | 4 stolen from me -Node 1 (Phys 1): 630 assigned | 622 processed | 5 I stole | 13 stolen from me -Node 2 (Phys 2): 639 assigned | 641 processed | 8 I stole | 6 stolen from me -Node 3 (Phys 3): 633 assigned | 623 processed | 1 I stole | 11 stolen from me +Node 0 (Phys 0): 638 assigned | 644 processed | 8 I stole | 2 stolen from me +Node 1 (Phys 1): 642 assigned | 636 processed | 3 I stole | 9 stolen from me +Node 2 (Phys 2): 638 assigned | 632 processed | 2 I stole | 8 stolen from me +Node 3 (Phys 3): 644 assigned | 650 processed | 12 I stole | 6 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 34 chunks (1.3%) +Total Cross-Socket Traffic: 25 chunks (1.0%) ================================================================= -3495 -real 0m0.233s -user 0m1.560s -sys 0m2.014s +3487 +real 0m0.231s +user 0m1.549s +sys 0m2.050s -CPU UTILIZATION: 15.339 / 28 +CPU UTILIZATION: 15.580 / 28 ----------------------------------------- @@ -5852,19 +5852,19 @@ CPU UTILIZATION: 15.339 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.175s -user 0m1.032s -sys 0m1.447s +real 0m0.176s +user 0m1.057s +sys 0m1.446s -CPU UTILIZATION: 14.165 / 28 +CPU UTILIZATION: 14.221 / 28 ----------------------------------------- @@ -5873,20 +5873,20 @@ CPU UTILIZATION: 14.165 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 22 assigned | 21 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 19 assigned | 20 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 21 assigned | 20 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 19 assigned | 20 processed | 1 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 1 chunks (1.2%) ================================================================= -2113379 -real 0m0.206s -user 0m1.074s -sys 0m1.493s +2113621 +real 0m0.194s +user 0m1.066s +sys 0m1.548s -CPU UTILIZATION: 12.461 / 28 +CPU UTILIZATION: 13.474 / 28 ----------------------------------------- @@ -5895,19 +5895,19 @@ CPU UTILIZATION: 12.461 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 666 assigned | 676 processed | 21 I stole | 11 stolen from me -Node 1 (Phys 1): 629 assigned | 625 processed | 12 I stole | 16 stolen from me -Node 2 (Phys 2): 639 assigned | 633 processed | 9 I stole | 15 stolen from me -Node 3 (Phys 3): 628 assigned | 628 processed | 11 I stole | 11 stolen from me +Node 0 (Phys 0): 648 assigned | 648 processed | 13 I stole | 13 stolen from me +Node 1 (Phys 1): 605 assigned | 607 processed | 13 I stole | 11 stolen from me +Node 2 (Phys 2): 665 assigned | 655 processed | 9 I stole | 19 stolen from me +Node 3 (Phys 3): 644 assigned | 652 processed | 15 I stole | 7 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 53 chunks (2.1%) +Total Cross-Socket Traffic: 50 chunks (2.0%) ================================================================= real 0m0.243s -user 0m1.698s -sys 0m2.193s +user 0m1.763s +sys 0m2.152s -CPU UTILIZATION: 16.012 / 28 +CPU UTILIZATION: 16.111 / 28 ----------------------------------------- @@ -5916,20 +5916,20 @@ CPU UTILIZATION: 16.012 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 656 assigned | 652 processed | 10 I stole | 14 stolen from me -Node 1 (Phys 1): 632 assigned | 625 processed | 12 I stole | 19 stolen from me -Node 2 (Phys 2): 634 assigned | 637 processed | 17 I stole | 14 stolen from me -Node 3 (Phys 3): 640 assigned | 648 processed | 21 I stole | 13 stolen from me +Node 0 (Phys 0): 647 assigned | 650 processed | 9 I stole | 6 stolen from me +Node 1 (Phys 1): 642 assigned | 636 processed | 11 I stole | 17 stolen from me +Node 2 (Phys 2): 615 assigned | 605 processed | 5 I stole | 15 stolen from me +Node 3 (Phys 3): 658 assigned | 671 processed | 20 I stole | 7 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 60 chunks (2.3%) +Total Cross-Socket Traffic: 45 chunks (1.8%) ================================================================= -2113379 -real 0m0.244s -user 0m1.827s -sys 0m2.168s +2113621 +real 0m0.241s +user 0m1.753s +sys 0m2.293s -CPU UTILIZATION: 16.372 / 28 +CPU UTILIZATION: 16.788 / 28 ----------------------------------------- @@ -5938,19 +5938,19 @@ CPU UTILIZATION: 16.372 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 22 assigned | 22 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 24 assigned | 23 processed | 0 I stole | 1 stolen from me +Node 1 (Phys 1): 21 assigned | 22 processed | 1 I stole | 0 stolen from me Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 1 chunks (1.2%) ================================================================= -real 0m0.164s -user 0m0.529s -sys 0m1.138s +real 0m0.162s +user 0m0.532s +sys 0m1.098s -CPU UTILIZATION: 10.164 / 28 +CPU UTILIZATION: 10.061 / 28 ----------------------------------------- @@ -5959,20 +5959,20 @@ CPU UTILIZATION: 10.164 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 22 assigned | 23 processed | 1 I stole | 0 stolen from me +Node 0 (Phys 0): 23 assigned | 25 processed | 2 I stole | 0 stolen from me Node 1 (Phys 1): 21 assigned | 20 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 19 assigned | 18 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (1.2%) +Total Cross-Socket Traffic: 2 chunks (2.4%) ================================================================= 0 -real 0m0.167s -user 0m0.548s -sys 0m1.131s +real 0m0.159s +user 0m0.568s +sys 0m1.116s -CPU UTILIZATION: 10.053 / 28 +CPU UTILIZATION: 10.591 / 28 ----------------------------------------- @@ -5981,19 +5981,19 @@ CPU UTILIZATION: 10.053 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 649 assigned | 650 processed | 4 I stole | 3 stolen from me -Node 1 (Phys 1): 640 assigned | 638 processed | 3 I stole | 5 stolen from me -Node 2 (Phys 2): 636 assigned | 636 processed | 5 I stole | 5 stolen from me -Node 3 (Phys 3): 637 assigned | 638 processed | 5 I stole | 4 stolen from me +Node 0 (Phys 0): 664 assigned | 669 processed | 6 I stole | 1 stolen from me +Node 1 (Phys 1): 643 assigned | 642 processed | 4 I stole | 5 stolen from me +Node 2 (Phys 2): 623 assigned | 620 processed | 1 I stole | 4 stolen from me +Node 3 (Phys 3): 632 assigned | 631 processed | 3 I stole | 4 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 17 chunks (0.7%) +Total Cross-Socket Traffic: 14 chunks (0.5%) ================================================================= -real 0m0.221s -user 0m1.529s -sys 0m1.615s +real 0m0.214s +user 0m1.510s +sys 0m1.629s -CPU UTILIZATION: 14.226 / 28 +CPU UTILIZATION: 14.668 / 28 ----------------------------------------- @@ -6002,20 +6002,20 @@ CPU UTILIZATION: 14.226 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 648 assigned | 643 processed | 1 I stole | 6 stolen from me -Node 1 (Phys 1): 643 assigned | 645 processed | 4 I stole | 2 stolen from me -Node 2 (Phys 2): 624 assigned | 616 processed | 0 I stole | 8 stolen from me -Node 3 (Phys 3): 647 assigned | 658 processed | 12 I stole | 1 stolen from me +Node 0 (Phys 0): 657 assigned | 660 processed | 6 I stole | 3 stolen from me +Node 1 (Phys 1): 643 assigned | 641 processed | 4 I stole | 6 stolen from me +Node 2 (Phys 2): 625 assigned | 628 processed | 7 I stole | 4 stolen from me +Node 3 (Phys 3): 637 assigned | 633 processed | 2 I stole | 6 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 17 chunks (0.7%) +Total Cross-Socket Traffic: 19 chunks (0.7%) ================================================================= 0 -real 0m0.217s -user 0m1.467s -sys 0m1.652s +real 0m0.216s +user 0m1.497s +sys 0m1.630s -CPU UTILIZATION: 14.373 / 28 +CPU UTILIZATION: 14.476 / 28 ----------------------------------------- @@ -6024,19 +6024,19 @@ CPU UTILIZATION: 14.373 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 21 assigned | 24 processed | 3 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 20 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 20 assigned | 18 processed | 0 I stole | 2 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 3 chunks (3.7%) ================================================================= -real 0m0.165s -user 0m0.610s -sys 0m1.264s +real 0m0.164s +user 0m0.652s +sys 0m1.281s -CPU UTILIZATION: 11.357 / 28 +CPU UTILIZATION: 11.786 / 28 ----------------------------------------- @@ -6045,20 +6045,20 @@ CPU UTILIZATION: 11.357 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 21 assigned | 24 processed | 3 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 20 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 20 assigned | 19 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 20 assigned | 19 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 3 chunks (3.7%) ================================================================= -1479 -real 0m0.182s -user 0m0.593s -sys 0m1.383s +1478 +real 0m0.193s +user 0m0.658s +sys 0m1.341s -CPU UTILIZATION: 10.857 / 28 +CPU UTILIZATION: 10.357 / 28 ----------------------------------------- @@ -6067,19 +6067,19 @@ CPU UTILIZATION: 10.857 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 674 assigned | 694 processed | 30 I stole | 10 stolen from me -Node 1 (Phys 1): 650 assigned | 649 processed | 7 I stole | 8 stolen from me -Node 2 (Phys 2): 591 assigned | 573 processed | 2 I stole | 20 stolen from me -Node 3 (Phys 3): 647 assigned | 646 processed | 9 I stole | 10 stolen from me +Node 0 (Phys 0): 655 assigned | 653 processed | 4 I stole | 6 stolen from me +Node 1 (Phys 1): 652 assigned | 665 processed | 15 I stole | 2 stolen from me +Node 2 (Phys 2): 640 assigned | 634 processed | 4 I stole | 10 stolen from me +Node 3 (Phys 3): 615 assigned | 610 processed | 1 I stole | 6 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 48 chunks (1.9%) +Total Cross-Socket Traffic: 24 chunks (0.9%) ================================================================= -real 0m0.231s -user 0m1.554s -sys 0m1.915s +real 0m0.230s +user 0m1.540s +sys 0m1.933s -CPU UTILIZATION: 15.017 / 28 +CPU UTILIZATION: 15.100 / 28 ----------------------------------------- @@ -6088,20 +6088,20 @@ CPU UTILIZATION: 15.017 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 655 assigned | 661 processed | 15 I stole | 9 stolen from me -Node 1 (Phys 1): 644 assigned | 638 processed | 4 I stole | 10 stolen from me -Node 2 (Phys 2): 646 assigned | 641 processed | 5 I stole | 10 stolen from me -Node 3 (Phys 3): 617 assigned | 622 processed | 12 I stole | 7 stolen from me +Node 0 (Phys 0): 640 assigned | 641 processed | 6 I stole | 5 stolen from me +Node 1 (Phys 1): 624 assigned | 624 processed | 6 I stole | 6 stolen from me +Node 2 (Phys 2): 647 assigned | 645 processed | 4 I stole | 6 stolen from me +Node 3 (Phys 3): 651 assigned | 652 processed | 3 I stole | 2 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 36 chunks (1.4%) +Total Cross-Socket Traffic: 19 chunks (0.7%) ================================================================= -3460 -real 0m0.235s -user 0m1.538s -sys 0m2.038s +3459 +real 0m0.230s +user 0m1.551s +sys 0m2.039s -CPU UTILIZATION: 15.217 / 28 +CPU UTILIZATION: 15.608 / 28 ----------------------------------------- @@ -6110,19 +6110,19 @@ CPU UTILIZATION: 15.217 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 24 assigned | 23 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 22 assigned | 20 processed | 0 I stole | 2 stolen from me -Node 2 (Phys 2): 18 assigned | 20 processed | 2 I stole | 0 stolen from me -Node 3 (Phys 3): 18 assigned | 19 processed | 1 I stole | 0 stolen from me +Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 3 chunks (3.7%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.183s -user 0m0.994s -sys 0m1.354s +real 0m0.175s +user 0m1.021s +sys 0m1.327s -CPU UTILIZATION: 12.830 / 28 +CPU UTILIZATION: 13.417 / 28 ----------------------------------------- @@ -6131,20 +6131,20 @@ CPU UTILIZATION: 12.830 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 23 assigned | 21 processed | 0 I stole | 2 stolen from me -Node 1 (Phys 1): 20 assigned | 22 processed | 2 I stole | 0 stolen from me -Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 22 processed | 1 I stole | 0 stolen from me +Node 2 (Phys 2): 20 assigned | 19 processed | 0 I stole | 1 stolen from me Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 2 chunks (2.4%) +Total Cross-Socket Traffic: 1 chunks (1.2%) ================================================================= -2113379 +2113621 real 0m0.195s -user 0m0.977s -sys 0m1.455s +user 0m1.040s +sys 0m1.388s -CPU UTILIZATION: 12.471 / 28 +CPU UTILIZATION: 12.451 / 28 ----------------------------------------- @@ -6153,19 +6153,19 @@ CPU UTILIZATION: 12.471 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 659 assigned | 655 processed | 7 I stole | 11 stolen from me -Node 1 (Phys 1): 636 assigned | 643 processed | 11 I stole | 4 stolen from me -Node 2 (Phys 2): 629 assigned | 630 processed | 10 I stole | 9 stolen from me -Node 3 (Phys 3): 638 assigned | 634 processed | 4 I stole | 8 stolen from me +Node 0 (Phys 0): 636 assigned | 635 processed | 8 I stole | 9 stolen from me +Node 1 (Phys 1): 651 assigned | 662 processed | 15 I stole | 4 stolen from me +Node 2 (Phys 2): 634 assigned | 626 processed | 5 I stole | 13 stolen from me +Node 3 (Phys 3): 641 assigned | 639 processed | 10 I stole | 12 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 32 chunks (1.2%) +Total Cross-Socket Traffic: 38 chunks (1.5%) ================================================================= -real 0m0.242s -user 0m1.733s -sys 0m2.169s +real 0m0.247s +user 0m1.728s +sys 0m2.182s -CPU UTILIZATION: 16.123 / 28 +CPU UTILIZATION: 15.829 / 28 ----------------------------------------- @@ -6174,20 +6174,20 @@ CPU UTILIZATION: 16.123 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 644 assigned | 653 processed | 24 I stole | 15 stolen from me -Node 1 (Phys 1): 629 assigned | 638 processed | 24 I stole | 15 stolen from me -Node 2 (Phys 2): 638 assigned | 629 processed | 11 I stole | 20 stolen from me -Node 3 (Phys 3): 651 assigned | 642 processed | 8 I stole | 17 stolen from me +Node 0 (Phys 0): 650 assigned | 653 processed | 13 I stole | 10 stolen from me +Node 1 (Phys 1): 649 assigned | 637 processed | 8 I stole | 20 stolen from me +Node 2 (Phys 2): 640 assigned | 647 processed | 20 I stole | 13 stolen from me +Node 3 (Phys 3): 623 assigned | 625 processed | 13 I stole | 11 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 67 chunks (2.6%) +Total Cross-Socket Traffic: 54 chunks (2.1%) ================================================================= -2113379 -real 0m0.243s -user 0m1.736s -sys 0m2.261s +2113621 +real 0m0.245s +user 0m1.723s +sys 0m2.296s -CPU UTILIZATION: 16.448 / 28 +CPU UTILIZATION: 16.404 / 28 ----------------------------------------- @@ -6196,19 +6196,19 @@ CPU UTILIZATION: 16.448 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.159s -user 0m0.589s -sys 0m1.138s +real 0m0.157s +user 0m0.638s +sys 0m1.157s -CPU UTILIZATION: 10.861 / 28 +CPU UTILIZATION: 11.433 / 28 ----------------------------------------- @@ -6218,19 +6218,19 @@ CPU UTILIZATION: 10.861 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 24 assigned | 24 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 22 assigned | 22 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 17 assigned | 17 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m0.159s -user 0m0.579s -sys 0m1.160s +real 0m0.161s +user 0m0.610s +sys 0m1.145s -CPU UTILIZATION: 10.937 / 28 +CPU UTILIZATION: 10.900 / 28 ----------------------------------------- @@ -6239,19 +6239,19 @@ CPU UTILIZATION: 10.937 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 645 assigned | 649 processed | 6 I stole | 2 stolen from me -Node 1 (Phys 1): 646 assigned | 644 processed | 1 I stole | 3 stolen from me -Node 2 (Phys 2): 637 assigned | 636 processed | 3 I stole | 4 stolen from me -Node 3 (Phys 3): 634 assigned | 633 processed | 2 I stole | 3 stolen from me +Node 0 (Phys 0): 651 assigned | 667 processed | 18 I stole | 2 stolen from me +Node 1 (Phys 1): 644 assigned | 643 processed | 6 I stole | 7 stolen from me +Node 2 (Phys 2): 642 assigned | 633 processed | 2 I stole | 11 stolen from me +Node 3 (Phys 3): 625 assigned | 619 processed | 4 I stole | 10 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 12 chunks (0.5%) +Total Cross-Socket Traffic: 30 chunks (1.2%) ================================================================= -real 0m0.222s -user 0m1.526s -sys 0m1.614s +real 0m0.221s +user 0m1.500s +sys 0m1.677s -CPU UTILIZATION: 14.144 / 28 +CPU UTILIZATION: 14.375 / 28 ----------------------------------------- @@ -6260,20 +6260,20 @@ CPU UTILIZATION: 14.144 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 663 assigned | 664 processed | 4 I stole | 3 stolen from me -Node 1 (Phys 1): 639 assigned | 639 processed | 4 I stole | 4 stolen from me -Node 2 (Phys 2): 628 assigned | 625 processed | 4 I stole | 7 stolen from me -Node 3 (Phys 3): 632 assigned | 634 processed | 6 I stole | 4 stolen from me +Node 0 (Phys 0): 653 assigned | 653 processed | 3 I stole | 3 stolen from me +Node 1 (Phys 1): 645 assigned | 642 processed | 3 I stole | 6 stolen from me +Node 2 (Phys 2): 633 assigned | 628 processed | 1 I stole | 6 stolen from me +Node 3 (Phys 3): 631 assigned | 639 processed | 9 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 18 chunks (0.7%) +Total Cross-Socket Traffic: 16 chunks (0.6%) ================================================================= 0 -real 0m0.223s -user 0m1.527s -sys 0m1.628s +real 0m0.228s +user 0m1.520s +sys 0m1.658s -CPU UTILIZATION: 14.147 / 28 +CPU UTILIZATION: 13.938 / 28 ----------------------------------------- @@ -6282,19 +6282,19 @@ CPU UTILIZATION: 14.147 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 23 assigned | 24 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 18 processed | 0 I stole | 1 stolen from me +Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 22 assigned | 21 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 20 assigned | 21 processed | 1 I stole | 0 stolen from me +Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 1 chunks (1.2%) ================================================================= -real 0m0.166s -user 0m0.657s -sys 0m1.349s +real 0m0.167s +user 0m0.613s +sys 0m1.407s -CPU UTILIZATION: 12.084 / 28 +CPU UTILIZATION: 12.095 / 28 ----------------------------------------- @@ -6303,20 +6303,20 @@ CPU UTILIZATION: 12.084 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 24 assigned | 24 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 19 assigned | 18 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 17 assigned | 18 processed | 1 I stole | 0 stolen from me +Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (1.2%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 1681 -real 0m0.196s -user 0m0.688s -sys 0m1.386s +real 0m0.190s +user 0m0.654s +sys 0m1.434s -CPU UTILIZATION: 10.581 / 28 +CPU UTILIZATION: 10.989 / 28 ----------------------------------------- @@ -6325,17 +6325,17 @@ CPU UTILIZATION: 10.581 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 644 assigned | 649 processed | 7 I stole | 2 stolen from me -Node 1 (Phys 1): 659 assigned | 657 processed | 4 I stole | 6 stolen from me -Node 2 (Phys 2): 631 assigned | 630 processed | 2 I stole | 3 stolen from me -Node 3 (Phys 3): 628 assigned | 626 processed | 3 I stole | 5 stolen from me +Node 0 (Phys 0): 662 assigned | 669 processed | 10 I stole | 3 stolen from me +Node 1 (Phys 1): 636 assigned | 633 processed | 1 I stole | 4 stolen from me +Node 2 (Phys 2): 630 assigned | 627 processed | 3 I stole | 6 stolen from me +Node 3 (Phys 3): 634 assigned | 633 processed | 2 I stole | 3 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 16 chunks (0.6%) ================================================================= real 0m0.239s -user 0m1.562s -sys 0m1.938s +user 0m1.550s +sys 0m1.950s CPU UTILIZATION: 14.644 / 28 @@ -6346,20 +6346,20 @@ CPU UTILIZATION: 14.644 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 639 assigned | 640 processed | 5 I stole | 4 stolen from me -Node 1 (Phys 1): 658 assigned | 659 processed | 8 I stole | 7 stolen from me -Node 2 (Phys 2): 644 assigned | 644 processed | 6 I stole | 6 stolen from me -Node 3 (Phys 3): 621 assigned | 619 processed | 2 I stole | 4 stolen from me +Node 0 (Phys 0): 652 assigned | 661 processed | 10 I stole | 1 stolen from me +Node 1 (Phys 1): 648 assigned | 644 processed | 4 I stole | 8 stolen from me +Node 2 (Phys 2): 631 assigned | 629 processed | 4 I stole | 6 stolen from me +Node 3 (Phys 3): 631 assigned | 628 processed | 3 I stole | 6 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 21 chunks (0.8%) ================================================================= -3492 -real 0m0.236s -user 0m1.579s -sys 0m2.030s +3493 +real 0m0.233s +user 0m1.572s +sys 0m2.041s -CPU UTILIZATION: 15.292 / 28 +CPU UTILIZATION: 15.506 / 28 ----------------------------------------- @@ -6370,17 +6370,17 @@ NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.178s -user 0m1.057s -sys 0m1.417s +real 0m0.177s +user 0m1.064s +sys 0m1.478s -CPU UTILIZATION: 13.898 / 28 +CPU UTILIZATION: 14.361 / 28 ----------------------------------------- @@ -6389,20 +6389,20 @@ CPU UTILIZATION: 13.898 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 22 assigned | 21 processed | 0 I stole | 1 stolen from me +Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 20 assigned | 21 processed | 1 I stole | 0 stolen from me +Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 1 chunks (1.2%) ================================================================= -2113379 -real 0m0.201s -user 0m1.063s -sys 0m1.458s +2113621 +real 0m0.210s +user 0m1.105s +sys 0m1.514s -CPU UTILIZATION: 12.542 / 28 +CPU UTILIZATION: 12.471 / 28 ----------------------------------------- @@ -6411,19 +6411,19 @@ CPU UTILIZATION: 12.542 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 640 assigned | 642 processed | 21 I stole | 19 stolen from me -Node 1 (Phys 1): 640 assigned | 631 processed | 16 I stole | 25 stolen from me -Node 2 (Phys 2): 663 assigned | 675 processed | 28 I stole | 16 stolen from me -Node 3 (Phys 3): 619 assigned | 614 processed | 13 I stole | 18 stolen from me +Node 0 (Phys 0): 628 assigned | 632 processed | 11 I stole | 7 stolen from me +Node 1 (Phys 1): 642 assigned | 638 processed | 8 I stole | 12 stolen from me +Node 2 (Phys 2): 648 assigned | 639 processed | 3 I stole | 12 stolen from me +Node 3 (Phys 3): 644 assigned | 653 processed | 13 I stole | 4 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 78 chunks (3.0%) +Total Cross-Socket Traffic: 35 chunks (1.4%) ================================================================= -real 0m0.255s -user 0m1.720s -sys 0m2.191s +real 0m0.245s +user 0m1.739s +sys 0m2.214s -CPU UTILIZATION: 15.337 / 28 +CPU UTILIZATION: 16.134 / 28 ----------------------------------------- @@ -6432,20 +6432,20 @@ CPU UTILIZATION: 15.337 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 627 assigned | 618 processed | 9 I stole | 18 stolen from me -Node 1 (Phys 1): 638 assigned | 624 processed | 8 I stole | 22 stolen from me -Node 2 (Phys 2): 645 assigned | 661 processed | 25 I stole | 9 stolen from me -Node 3 (Phys 3): 652 assigned | 659 processed | 17 I stole | 10 stolen from me +Node 0 (Phys 0): 646 assigned | 652 processed | 16 I stole | 10 stolen from me +Node 1 (Phys 1): 637 assigned | 628 processed | 6 I stole | 15 stolen from me +Node 2 (Phys 2): 633 assigned | 633 processed | 10 I stole | 10 stolen from me +Node 3 (Phys 3): 646 assigned | 649 processed | 12 I stole | 9 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 59 chunks (2.3%) +Total Cross-Socket Traffic: 44 chunks (1.7%) ================================================================= -2113379 +2113621 real 0m0.245s -user 0m1.778s -sys 0m2.239s +user 0m1.777s +sys 0m2.258s -CPU UTILIZATION: 16.395 / 28 +CPU UTILIZATION: 16.469 / 28 ----------------------------------------- @@ -6455,18 +6455,18 @@ CPU UTILIZATION: 16.395 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 22 assigned | 22 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 22 processed | 1 I stole | 0 stolen from me Node 2 (Phys 2): 20 assigned | 19 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 17 assigned | 18 processed | 1 I stole | 0 stolen from me +Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 1 chunks (1.2%) ================================================================= -real 0m0.164s -user 0m0.544s -sys 0m1.072s +real 0m0.158s +user 0m0.555s +sys 0m1.102s -CPU UTILIZATION: 9.853 / 28 +CPU UTILIZATION: 10.487 / 28 ----------------------------------------- @@ -6475,20 +6475,20 @@ CPU UTILIZATION: 9.853 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 22 assigned | 23 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 18 processed | 0 I stole | 1 stolen from me +Node 0 (Phys 0): 25 assigned | 26 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 22 assigned | 21 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 19 assigned | 19 processed | 1 I stole | 1 stolen from me +Node 3 (Phys 3): 16 assigned | 16 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (1.2%) +Total Cross-Socket Traffic: 2 chunks (2.4%) ================================================================= 0 -real 0m0.158s -user 0m0.562s -sys 0m1.108s +real 0m0.160s +user 0m0.545s +sys 0m1.105s -CPU UTILIZATION: 10.569 / 28 +CPU UTILIZATION: 10.312 / 28 ----------------------------------------- @@ -6497,19 +6497,19 @@ CPU UTILIZATION: 10.569 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 641 assigned | 648 processed | 8 I stole | 1 stolen from me -Node 1 (Phys 1): 646 assigned | 645 processed | 1 I stole | 2 stolen from me -Node 2 (Phys 2): 643 assigned | 641 processed | 2 I stole | 4 stolen from me -Node 3 (Phys 3): 632 assigned | 628 processed | 2 I stole | 6 stolen from me +Node 0 (Phys 0): 630 assigned | 632 processed | 4 I stole | 2 stolen from me +Node 1 (Phys 1): 648 assigned | 650 processed | 6 I stole | 4 stolen from me +Node 2 (Phys 2): 649 assigned | 643 processed | 1 I stole | 7 stolen from me +Node 3 (Phys 3): 635 assigned | 637 processed | 4 I stole | 2 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 13 chunks (0.5%) +Total Cross-Socket Traffic: 15 chunks (0.6%) ================================================================= real 0m0.222s -user 0m1.495s -sys 0m1.639s +user 0m1.507s +sys 0m1.661s -CPU UTILIZATION: 14.117 / 28 +CPU UTILIZATION: 14.270 / 28 ----------------------------------------- @@ -6518,20 +6518,20 @@ CPU UTILIZATION: 14.117 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 651 assigned | 661 processed | 15 I stole | 5 stolen from me -Node 1 (Phys 1): 640 assigned | 644 processed | 8 I stole | 4 stolen from me -Node 2 (Phys 2): 636 assigned | 630 processed | 0 I stole | 6 stolen from me -Node 3 (Phys 3): 635 assigned | 627 processed | 0 I stole | 8 stolen from me +Node 0 (Phys 0): 639 assigned | 638 processed | 4 I stole | 5 stolen from me +Node 1 (Phys 1): 639 assigned | 645 processed | 7 I stole | 1 stolen from me +Node 2 (Phys 2): 646 assigned | 644 processed | 0 I stole | 2 stolen from me +Node 3 (Phys 3): 638 assigned | 635 processed | 1 I stole | 4 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 23 chunks (0.9%) +Total Cross-Socket Traffic: 12 chunks (0.5%) ================================================================= 0 -real 0m0.227s -user 0m1.504s -sys 0m1.639s +real 0m0.220s +user 0m1.501s +sys 0m1.656s -CPU UTILIZATION: 13.845 / 28 +CPU UTILIZATION: 14.350 / 28 ----------------------------------------- @@ -6540,19 +6540,19 @@ CPU UTILIZATION: 13.845 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 22 assigned | 20 processed | 0 I stole | 2 stolen from me -Node 1 (Phys 1): 21 assigned | 23 processed | 2 I stole | 0 stolen from me -Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 1 I stole | 1 stolen from me +Node 0 (Phys 0): 21 assigned | 23 processed | 2 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 20 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 19 assigned | 18 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 3 chunks (3.7%) +Total Cross-Socket Traffic: 2 chunks (2.4%) ================================================================= real 0m0.166s user 0m0.610s -sys 0m1.305s +sys 0m1.293s -CPU UTILIZATION: 11.536 / 28 +CPU UTILIZATION: 11.463 / 28 ----------------------------------------- @@ -6562,19 +6562,19 @@ CPU UTILIZATION: 11.536 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 1 I stole | 1 stolen from me -Node 2 (Phys 2): 19 assigned | 19 processed | 1 I stole | 1 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 2 chunks (2.4%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -1478 -real 0m0.190s -user 0m0.633s -sys 0m1.347s +1477 +real 0m0.193s +user 0m0.608s +sys 0m1.368s -CPU UTILIZATION: 10.421 / 28 +CPU UTILIZATION: 10.238 / 28 ----------------------------------------- @@ -6583,19 +6583,19 @@ CPU UTILIZATION: 10.421 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 646 assigned | 649 processed | 4 I stole | 1 stolen from me -Node 1 (Phys 1): 641 assigned | 638 processed | 3 I stole | 6 stolen from me -Node 2 (Phys 2): 640 assigned | 639 processed | 3 I stole | 4 stolen from me -Node 3 (Phys 3): 635 assigned | 636 processed | 5 I stole | 4 stolen from me +Node 0 (Phys 0): 660 assigned | 660 processed | 7 I stole | 7 stolen from me +Node 1 (Phys 1): 638 assigned | 637 processed | 3 I stole | 4 stolen from me +Node 2 (Phys 2): 622 assigned | 618 processed | 1 I stole | 5 stolen from me +Node 3 (Phys 3): 642 assigned | 647 processed | 6 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 15 chunks (0.6%) +Total Cross-Socket Traffic: 17 chunks (0.7%) ================================================================= real 0m0.236s -user 0m1.588s -sys 0m1.883s +user 0m1.586s +sys 0m1.915s -CPU UTILIZATION: 14.707 / 28 +CPU UTILIZATION: 14.834 / 28 ----------------------------------------- @@ -6604,20 +6604,20 @@ CPU UTILIZATION: 14.707 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 647 assigned | 651 processed | 7 I stole | 3 stolen from me -Node 1 (Phys 1): 645 assigned | 646 processed | 6 I stole | 5 stolen from me -Node 2 (Phys 2): 634 assigned | 631 processed | 3 I stole | 6 stolen from me -Node 3 (Phys 3): 636 assigned | 634 processed | 4 I stole | 6 stolen from me +Node 0 (Phys 0): 666 assigned | 667 processed | 5 I stole | 4 stolen from me +Node 1 (Phys 1): 643 assigned | 645 processed | 7 I stole | 5 stolen from me +Node 2 (Phys 2): 617 assigned | 616 processed | 5 I stole | 6 stolen from me +Node 3 (Phys 3): 636 assigned | 634 processed | 2 I stole | 4 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 20 chunks (0.8%) +Total Cross-Socket Traffic: 19 chunks (0.7%) ================================================================= -3462 -real 0m0.233s -user 0m1.562s -sys 0m2.002s +3460 +real 0m0.236s +user 0m1.545s +sys 0m2.034s -CPU UTILIZATION: 15.296 / 28 +CPU UTILIZATION: 15.165 / 28 ----------------------------------------- @@ -6626,19 +6626,19 @@ CPU UTILIZATION: 15.296 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 22 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 18 processed | 0 I stole | 1 stolen from me +Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 22 assigned | 22 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 19 assigned | 17 processed | 0 I stole | 2 stolen from me +Node 3 (Phys 3): 18 assigned | 20 processed | 2 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (1.2%) +Total Cross-Socket Traffic: 2 chunks (2.4%) ================================================================= real 0m0.179s -user 0m0.980s -sys 0m1.381s +user 0m1.040s +sys 0m1.292s -CPU UTILIZATION: 13.189 / 28 +CPU UTILIZATION: 13.027 / 28 ----------------------------------------- @@ -6647,20 +6647,20 @@ CPU UTILIZATION: 13.189 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 22 assigned | 23 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 22 assigned | 21 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (1.2%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -2113379 -real 0m0.206s -user 0m1.032s -sys 0m1.382s +2113621 +real 0m0.202s +user 0m1.002s +sys 0m1.391s -CPU UTILIZATION: 11.718 / 28 +CPU UTILIZATION: 11.846 / 28 ----------------------------------------- @@ -6669,19 +6669,19 @@ CPU UTILIZATION: 11.718 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 651 assigned | 653 processed | 15 I stole | 13 stolen from me -Node 1 (Phys 1): 632 assigned | 625 processed | 12 I stole | 19 stolen from me -Node 2 (Phys 2): 637 assigned | 647 processed | 21 I stole | 11 stolen from me -Node 3 (Phys 3): 642 assigned | 637 processed | 14 I stole | 19 stolen from me +Node 0 (Phys 0): 647 assigned | 649 processed | 17 I stole | 15 stolen from me +Node 1 (Phys 1): 683 assigned | 697 processed | 28 I stole | 14 stolen from me +Node 2 (Phys 2): 649 assigned | 657 processed | 23 I stole | 15 stolen from me +Node 3 (Phys 3): 583 assigned | 559 processed | 3 I stole | 27 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 62 chunks (2.4%) +Total Cross-Socket Traffic: 71 chunks (2.8%) ================================================================= -real 0m0.253s -user 0m1.710s -sys 0m2.179s +real 0m0.246s +user 0m1.753s +sys 0m2.181s -CPU UTILIZATION: 15.371 / 28 +CPU UTILIZATION: 15.991 / 28 ----------------------------------------- @@ -6690,20 +6690,20 @@ CPU UTILIZATION: 15.371 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 686 assigned | 691 processed | 14 I stole | 9 stolen from me -Node 1 (Phys 1): 606 assigned | 616 processed | 21 I stole | 11 stolen from me -Node 2 (Phys 2): 640 assigned | 626 processed | 10 I stole | 24 stolen from me -Node 3 (Phys 3): 630 assigned | 629 processed | 16 I stole | 17 stolen from me +Node 0 (Phys 0): 659 assigned | 664 processed | 17 I stole | 12 stolen from me +Node 1 (Phys 1): 625 assigned | 637 processed | 21 I stole | 9 stolen from me +Node 2 (Phys 2): 642 assigned | 629 processed | 8 I stole | 21 stolen from me +Node 3 (Phys 3): 636 assigned | 632 processed | 9 I stole | 13 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 61 chunks (2.4%) +Total Cross-Socket Traffic: 55 chunks (2.1%) ================================================================= -2113379 -real 0m0.245s -user 0m1.762s -sys 0m2.221s +2113621 +real 0m0.244s +user 0m1.754s +sys 0m2.251s -CPU UTILIZATION: 16.257 / 28 +CPU UTILIZATION: 16.413 / 28 ----------------------------------------- @@ -6712,19 +6712,19 @@ CPU UTILIZATION: 16.257 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 22 assigned | 23 processed | 2 I stole | 1 stolen from me +Node 1 (Phys 1): 21 assigned | 23 processed | 2 I stole | 0 stolen from me +Node 2 (Phys 2): 20 assigned | 18 processed | 0 I stole | 2 stolen from me +Node 3 (Phys 3): 19 assigned | 18 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 4 chunks (4.9%) ================================================================= -real 0m0.159s -user 0m0.563s -sys 0m1.122s +real 0m0.163s +user 0m0.608s +sys 0m1.090s -CPU UTILIZATION: 10.597 / 28 +CPU UTILIZATION: 10.417 / 28 ----------------------------------------- @@ -6733,20 +6733,20 @@ CPU UTILIZATION: 10.597 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 23 assigned | 24 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 22 assigned | 21 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (1.2%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m0.157s -user 0m0.541s -sys 0m1.139s +real 0m0.159s +user 0m0.587s +sys 0m1.180s -CPU UTILIZATION: 10.700 / 28 +CPU UTILIZATION: 11.113 / 28 ----------------------------------------- @@ -6755,19 +6755,19 @@ CPU UTILIZATION: 10.700 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 647 assigned | 649 processed | 6 I stole | 4 stolen from me -Node 1 (Phys 1): 640 assigned | 643 processed | 7 I stole | 4 stolen from me -Node 2 (Phys 2): 638 assigned | 636 processed | 2 I stole | 4 stolen from me -Node 3 (Phys 3): 637 assigned | 634 processed | 1 I stole | 4 stolen from me +Node 0 (Phys 0): 649 assigned | 653 processed | 5 I stole | 1 stolen from me +Node 1 (Phys 1): 663 assigned | 663 processed | 2 I stole | 2 stolen from me +Node 2 (Phys 2): 623 assigned | 620 processed | 0 I stole | 3 stolen from me +Node 3 (Phys 3): 627 assigned | 626 processed | 1 I stole | 2 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 16 chunks (0.6%) +Total Cross-Socket Traffic: 8 chunks (0.3%) ================================================================= -real 0m0.215s -user 0m1.451s -sys 0m1.579s +real 0m0.218s +user 0m1.448s +sys 0m1.578s -CPU UTILIZATION: 14.093 / 28 +CPU UTILIZATION: 13.880 / 28 ----------------------------------------- @@ -6776,20 +6776,20 @@ CPU UTILIZATION: 14.093 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 653 assigned | 663 processed | 11 I stole | 1 stolen from me -Node 1 (Phys 1): 633 assigned | 633 processed | 4 I stole | 4 stolen from me -Node 2 (Phys 2): 633 assigned | 627 processed | 1 I stole | 7 stolen from me -Node 3 (Phys 3): 643 assigned | 639 processed | 0 I stole | 4 stolen from me +Node 0 (Phys 0): 638 assigned | 645 processed | 9 I stole | 2 stolen from me +Node 1 (Phys 1): 642 assigned | 645 processed | 6 I stole | 3 stolen from me +Node 2 (Phys 2): 651 assigned | 645 processed | 0 I stole | 6 stolen from me +Node 3 (Phys 3): 631 assigned | 627 processed | 1 I stole | 5 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 16 chunks (0.6%) ================================================================= 0 -real 0m0.212s -user 0m1.444s -sys 0m1.570s +real 0m0.214s +user 0m1.463s +sys 0m1.593s -CPU UTILIZATION: 14.216 / 28 +CPU UTILIZATION: 14.280 / 28 ----------------------------------------- @@ -6798,19 +6798,19 @@ CPU UTILIZATION: 14.216 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.158s -user 0m0.613s -sys 0m1.237s +real 0m0.165s +user 0m0.620s +sys 0m1.266s -CPU UTILIZATION: 11.708 / 28 +CPU UTILIZATION: 11.430 / 28 ----------------------------------------- @@ -6819,20 +6819,20 @@ CPU UTILIZATION: 11.708 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 1681 -real 0m0.178s -user 0m0.605s -sys 0m1.927s +real 0m0.180s +user 0m0.666s +sys 0m1.863s -CPU UTILIZATION: 14.224 / 28 +CPU UTILIZATION: 14.050 / 28 ----------------------------------------- @@ -6841,19 +6841,19 @@ CPU UTILIZATION: 14.224 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 663 assigned | 666 processed | 6 I stole | 3 stolen from me -Node 1 (Phys 1): 632 assigned | 633 processed | 5 I stole | 4 stolen from me -Node 2 (Phys 2): 618 assigned | 613 processed | 1 I stole | 6 stolen from me -Node 3 (Phys 3): 649 assigned | 650 processed | 5 I stole | 4 stolen from me +Node 0 (Phys 0): 643 assigned | 643 processed | 6 I stole | 6 stolen from me +Node 1 (Phys 1): 652 assigned | 654 processed | 8 I stole | 6 stolen from me +Node 2 (Phys 2): 644 assigned | 649 processed | 8 I stole | 3 stolen from me +Node 3 (Phys 3): 623 assigned | 616 processed | 2 I stole | 9 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 17 chunks (0.7%) +Total Cross-Socket Traffic: 24 chunks (0.9%) ================================================================= -real 0m0.219s -user 0m1.509s -sys 0m1.710s +real 0m0.224s +user 0m1.532s +sys 0m1.683s -CPU UTILIZATION: 14.698 / 28 +CPU UTILIZATION: 14.352 / 28 ----------------------------------------- @@ -6862,20 +6862,20 @@ CPU UTILIZATION: 14.698 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 649 assigned | 650 processed | 4 I stole | 3 stolen from me -Node 1 (Phys 1): 641 assigned | 638 processed | 4 I stole | 7 stolen from me -Node 2 (Phys 2): 638 assigned | 640 processed | 4 I stole | 2 stolen from me -Node 3 (Phys 3): 634 assigned | 634 processed | 4 I stole | 4 stolen from me +Node 0 (Phys 0): 647 assigned | 653 processed | 8 I stole | 2 stolen from me +Node 1 (Phys 1): 642 assigned | 644 processed | 5 I stole | 3 stolen from me +Node 2 (Phys 2): 638 assigned | 637 processed | 4 I stole | 5 stolen from me +Node 3 (Phys 3): 635 assigned | 628 processed | 1 I stole | 8 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 16 chunks (0.6%) +Total Cross-Socket Traffic: 18 chunks (0.7%) ================================================================= -3490 -real 0m0.227s -user 0m1.496s -sys 0m1.945s +3494 +real 0m0.230s +user 0m1.520s +sys 0m1.921s -CPU UTILIZATION: 15.158 / 28 +CPU UTILIZATION: 14.960 / 28 ----------------------------------------- @@ -6884,19 +6884,19 @@ CPU UTILIZATION: 15.158 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.171s -user 0m0.957s -sys 0m1.305s +real 0m0.167s +user 0m1.032s +sys 0m1.299s -CPU UTILIZATION: 13.228 / 28 +CPU UTILIZATION: 13.958 / 28 ----------------------------------------- @@ -6906,19 +6906,19 @@ CPU UTILIZATION: 13.228 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -2113379 -real 0m0.184s -user 0m0.991s -sys 0m1.748s +2113621 +real 0m0.190s +user 0m1.041s +sys 0m1.822s -CPU UTILIZATION: 14.885 / 28 +CPU UTILIZATION: 15.068 / 28 ----------------------------------------- @@ -6927,19 +6927,19 @@ CPU UTILIZATION: 14.885 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 651 assigned | 652 processed | 18 I stole | 17 stolen from me -Node 1 (Phys 1): 643 assigned | 634 processed | 7 I stole | 16 stolen from me -Node 2 (Phys 2): 640 assigned | 646 processed | 16 I stole | 10 stolen from me -Node 3 (Phys 3): 628 assigned | 630 processed | 14 I stole | 12 stolen from me +Node 0 (Phys 0): 652 assigned | 652 processed | 9 I stole | 9 stolen from me +Node 1 (Phys 1): 646 assigned | 642 processed | 6 I stole | 10 stolen from me +Node 2 (Phys 2): 633 assigned | 631 processed | 10 I stole | 12 stolen from me +Node 3 (Phys 3): 631 assigned | 637 processed | 13 I stole | 7 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 55 chunks (2.1%) +Total Cross-Socket Traffic: 38 chunks (1.5%) ================================================================= -real 0m0.229s -user 0m1.658s -sys 0m1.951s +real 0m0.235s +user 0m1.706s +sys 0m1.988s -CPU UTILIZATION: 15.759 / 28 +CPU UTILIZATION: 15.719 / 28 ----------------------------------------- @@ -6948,20 +6948,20 @@ CPU UTILIZATION: 15.759 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 658 assigned | 654 processed | 15 I stole | 19 stolen from me -Node 1 (Phys 1): 618 assigned | 615 processed | 12 I stole | 15 stolen from me -Node 2 (Phys 2): 636 assigned | 630 processed | 11 I stole | 17 stolen from me -Node 3 (Phys 3): 650 assigned | 663 processed | 24 I stole | 11 stolen from me +Node 0 (Phys 0): 650 assigned | 659 processed | 12 I stole | 3 stolen from me +Node 1 (Phys 1): 641 assigned | 640 processed | 8 I stole | 9 stolen from me +Node 2 (Phys 2): 618 assigned | 615 processed | 5 I stole | 8 stolen from me +Node 3 (Phys 3): 653 assigned | 648 processed | 3 I stole | 8 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 62 chunks (2.4%) +Total Cross-Socket Traffic: 28 chunks (1.1%) ================================================================= -2113379 -real 0m0.233s -user 0m1.715s -sys 0m2.075s +2113621 +real 0m0.241s +user 0m1.661s +sys 0m2.178s -CPU UTILIZATION: 16.266 / 28 +CPU UTILIZATION: 15.929 / 28 ----------------------------------------- @@ -6970,19 +6970,19 @@ CPU UTILIZATION: 16.266 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 19 assigned | 19 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 22 assigned | 21 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 19 assigned | 20 processed | 1 I stole | 0 stolen from me +Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 1 chunks (1.2%) ================================================================= -real 0m0.163s -user 0m0.519s -sys 0m1.093s +real 0m0.162s +user 0m0.533s +sys 0m1.106s -CPU UTILIZATION: 9.889 / 28 +CPU UTILIZATION: 10.117 / 28 ----------------------------------------- @@ -7000,11 +7000,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m0.163s -user 0m0.534s -sys 0m1.105s +real 0m0.161s +user 0m0.513s +sys 0m1.079s -CPU UTILIZATION: 10.055 / 28 +CPU UTILIZATION: 9.888 / 28 ----------------------------------------- @@ -7013,19 +7013,19 @@ CPU UTILIZATION: 10.055 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 654 assigned | 658 processed | 7 I stole | 3 stolen from me -Node 1 (Phys 1): 637 assigned | 632 processed | 2 I stole | 7 stolen from me -Node 2 (Phys 2): 632 assigned | 627 processed | 0 I stole | 5 stolen from me -Node 3 (Phys 3): 639 assigned | 645 processed | 8 I stole | 2 stolen from me +Node 0 (Phys 0): 662 assigned | 666 processed | 6 I stole | 2 stolen from me +Node 1 (Phys 1): 638 assigned | 639 processed | 3 I stole | 2 stolen from me +Node 2 (Phys 2): 625 assigned | 620 processed | 0 I stole | 5 stolen from me +Node 3 (Phys 3): 637 assigned | 637 processed | 4 I stole | 4 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 17 chunks (0.7%) +Total Cross-Socket Traffic: 13 chunks (0.5%) ================================================================= real 0m0.216s -user 0m1.425s -sys 0m1.609s +user 0m1.459s +sys 0m1.563s -CPU UTILIZATION: 14.046 / 28 +CPU UTILIZATION: 13.990 / 28 ----------------------------------------- @@ -7034,20 +7034,20 @@ CPU UTILIZATION: 14.046 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 655 assigned | 659 processed | 8 I stole | 4 stolen from me -Node 1 (Phys 1): 634 assigned | 633 processed | 2 I stole | 3 stolen from me -Node 2 (Phys 2): 639 assigned | 639 processed | 2 I stole | 2 stolen from me -Node 3 (Phys 3): 634 assigned | 631 processed | 3 I stole | 6 stolen from me +Node 0 (Phys 0): 653 assigned | 656 processed | 5 I stole | 2 stolen from me +Node 1 (Phys 1): 630 assigned | 630 processed | 1 I stole | 1 stolen from me +Node 2 (Phys 2): 635 assigned | 635 processed | 2 I stole | 2 stolen from me +Node 3 (Phys 3): 644 assigned | 641 processed | 0 I stole | 3 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 15 chunks (0.6%) +Total Cross-Socket Traffic: 8 chunks (0.3%) ================================================================= 0 -real 0m0.211s -user 0m1.461s -sys 0m1.539s +real 0m0.214s +user 0m1.466s +sys 0m1.562s -CPU UTILIZATION: 14.218 / 28 +CPU UTILIZATION: 14.149 / 28 ----------------------------------------- @@ -7056,19 +7056,19 @@ CPU UTILIZATION: 14.218 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 23 assigned | 24 processed | 1 I stole | 0 stolen from me +Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 18 assigned | 17 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (1.2%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.161s -user 0m0.574s -sys 0m1.140s +real 0m0.159s +user 0m0.564s +sys 0m1.193s -CPU UTILIZATION: 10.645 / 28 +CPU UTILIZATION: 11.050 / 28 ----------------------------------------- @@ -7077,20 +7077,20 @@ CPU UTILIZATION: 10.645 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 20 processed | 0 I stole | 1 stolen from me +Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 22 assigned | 21 processed | 0 I stole | 1 stolen from me Node 2 (Phys 2): 19 assigned | 20 processed | 1 I stole | 0 stolen from me Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 1 chunks (1.2%) ================================================================= -1477 -real 0m0.176s -user 0m0.592s -sys 0m1.831s +1478 +real 0m0.178s +user 0m0.620s +sys 0m1.862s -CPU UTILIZATION: 13.767 / 28 +CPU UTILIZATION: 13.943 / 28 ----------------------------------------- @@ -7099,19 +7099,19 @@ CPU UTILIZATION: 13.767 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 659 assigned | 662 processed | 5 I stole | 2 stolen from me -Node 1 (Phys 1): 647 assigned | 646 processed | 3 I stole | 4 stolen from me -Node 2 (Phys 2): 626 assigned | 619 processed | 0 I stole | 7 stolen from me -Node 3 (Phys 3): 630 assigned | 635 processed | 5 I stole | 0 stolen from me +Node 0 (Phys 0): 637 assigned | 652 processed | 20 I stole | 5 stolen from me +Node 1 (Phys 1): 636 assigned | 625 processed | 7 I stole | 18 stolen from me +Node 2 (Phys 2): 649 assigned | 644 processed | 6 I stole | 11 stolen from me +Node 3 (Phys 3): 640 assigned | 641 processed | 8 I stole | 7 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 13 chunks (0.5%) +Total Cross-Socket Traffic: 41 chunks (1.6%) ================================================================= -real 0m0.223s -user 0m1.462s -sys 0m1.755s +real 0m0.220s +user 0m1.506s +sys 0m1.712s -CPU UTILIZATION: 14.426 / 28 +CPU UTILIZATION: 14.627 / 28 ----------------------------------------- @@ -7120,20 +7120,20 @@ CPU UTILIZATION: 14.426 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 648 assigned | 652 processed | 10 I stole | 6 stolen from me -Node 1 (Phys 1): 647 assigned | 647 processed | 7 I stole | 7 stolen from me -Node 2 (Phys 2): 644 assigned | 646 processed | 8 I stole | 6 stolen from me -Node 3 (Phys 3): 623 assigned | 617 processed | 5 I stole | 11 stolen from me +Node 0 (Phys 0): 659 assigned | 672 processed | 21 I stole | 8 stolen from me +Node 1 (Phys 1): 663 assigned | 674 processed | 19 I stole | 8 stolen from me +Node 2 (Phys 2): 628 assigned | 611 processed | 5 I stole | 22 stolen from me +Node 3 (Phys 3): 612 assigned | 605 processed | 4 I stole | 11 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 30 chunks (1.2%) +Total Cross-Socket Traffic: 49 chunks (1.9%) ================================================================= -3460 -real 0m0.228s -user 0m1.443s -sys 0m1.961s +3464 +real 0m0.229s +user 0m1.489s +sys 0m1.862s -CPU UTILIZATION: 14.929 / 28 +CPU UTILIZATION: 14.633 / 28 ----------------------------------------- @@ -7142,19 +7142,19 @@ CPU UTILIZATION: 14.929 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 23 assigned | 24 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 19 assigned | 18 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 1 chunks (1.2%) ================================================================= -real 0m0.172s +real 0m0.171s user 0m0.959s -sys 0m1.222s +sys 0m1.242s -CPU UTILIZATION: 12.680 / 28 +CPU UTILIZATION: 12.871 / 28 ----------------------------------------- @@ -7163,20 +7163,20 @@ CPU UTILIZATION: 12.680 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 23 assigned | 22 processed | 0 I stole | 1 stolen from me +Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 18 assigned | 19 processed | 1 I stole | 0 stolen from me Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 1 chunks (1.2%) ================================================================= -2113379 -real 0m0.188s -user 0m0.973s -sys 0m1.693s +2113621 +real 0m0.185s +user 0m0.986s +sys 0m1.599s -CPU UTILIZATION: 14.180 / 28 +CPU UTILIZATION: 13.972 / 28 ----------------------------------------- @@ -7185,19 +7185,19 @@ CPU UTILIZATION: 14.180 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 653 assigned | 663 processed | 17 I stole | 7 stolen from me -Node 1 (Phys 1): 647 assigned | 650 processed | 11 I stole | 8 stolen from me -Node 2 (Phys 2): 654 assigned | 647 processed | 2 I stole | 9 stolen from me -Node 3 (Phys 3): 608 assigned | 602 processed | 6 I stole | 12 stolen from me +Node 0 (Phys 0): 647 assigned | 642 processed | 3 I stole | 8 stolen from me +Node 1 (Phys 1): 654 assigned | 666 processed | 16 I stole | 4 stolen from me +Node 2 (Phys 2): 634 assigned | 636 processed | 6 I stole | 4 stolen from me +Node 3 (Phys 3): 627 assigned | 618 processed | 5 I stole | 14 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 36 chunks (1.4%) +Total Cross-Socket Traffic: 30 chunks (1.2%) ================================================================= -real 0m0.230s -user 0m1.665s +real 0m0.232s +user 0m1.710s sys 0m1.945s -CPU UTILIZATION: 15.695 / 28 +CPU UTILIZATION: 15.754 / 28 ----------------------------------------- @@ -7206,20 +7206,20 @@ CPU UTILIZATION: 15.695 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 637 assigned | 634 processed | 10 I stole | 13 stolen from me -Node 1 (Phys 1): 660 assigned | 664 processed | 16 I stole | 12 stolen from me -Node 2 (Phys 2): 648 assigned | 647 processed | 12 I stole | 13 stolen from me -Node 3 (Phys 3): 617 assigned | 617 processed | 8 I stole | 8 stolen from me +Node 0 (Phys 0): 645 assigned | 653 processed | 19 I stole | 11 stolen from me +Node 1 (Phys 1): 652 assigned | 653 processed | 17 I stole | 16 stolen from me +Node 2 (Phys 2): 645 assigned | 637 processed | 10 I stole | 18 stolen from me +Node 3 (Phys 3): 620 assigned | 619 processed | 12 I stole | 13 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 46 chunks (1.8%) +Total Cross-Socket Traffic: 58 chunks (2.3%) ================================================================= -2113379 -real 0m0.236s -user 0m1.740s -sys 0m2.049s +2113621 +real 0m0.239s +user 0m1.727s +sys 0m2.064s -CPU UTILIZATION: 16.055 / 28 +CPU UTILIZATION: 15.861 / 28 ----------------------------------------- @@ -7236,11 +7236,11 @@ Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.356s -user 0m7.115s -sys 0m0.399s +real 0m0.360s +user 0m7.173s +sys 0m0.405s -CPU UTILIZATION: 21.106 / 28 +CPU UTILIZATION: 21.050 / 28 ----------------------------------------- @@ -7249,20 +7249,20 @@ CPU UTILIZATION: 21.106 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m0.359s -user 0m7.177s -sys 0m0.417s +real 0m0.358s +user 0m7.207s +sys 0m0.389s -CPU UTILIZATION: 21.153 / 28 +CPU UTILIZATION: 21.217 / 28 ----------------------------------------- @@ -7271,19 +7271,19 @@ CPU UTILIZATION: 21.153 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 655 assigned | 670 processed | 110 I stole | 95 stolen from me -Node 1 (Phys 1): 695 assigned | 643 processed | 59 I stole | 111 stolen from me -Node 2 (Phys 2): 632 assigned | 656 processed | 82 I stole | 58 stolen from me -Node 3 (Phys 3): 580 assigned | 593 processed | 91 I stole | 78 stolen from me +Node 0 (Phys 0): 687 assigned | 673 processed | 62 I stole | 76 stolen from me +Node 1 (Phys 1): 687 assigned | 678 processed | 83 I stole | 92 stolen from me +Node 2 (Phys 2): 571 assigned | 645 processed | 122 I stole | 48 stolen from me +Node 3 (Phys 3): 617 assigned | 566 processed | 59 I stole | 110 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 342 chunks (13.3%) +Total Cross-Socket Traffic: 326 chunks (12.7%) ================================================================= -real 0m0.351s -user 0m6.994s -sys 0m0.384s +real 0m0.352s +user 0m6.936s +sys 0m0.408s -CPU UTILIZATION: 21.019 / 28 +CPU UTILIZATION: 20.863 / 28 ----------------------------------------- @@ -7292,20 +7292,20 @@ CPU UTILIZATION: 21.019 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 634 assigned | 633 processed | 59 I stole | 60 stolen from me -Node 1 (Phys 1): 648 assigned | 661 processed | 59 I stole | 46 stolen from me -Node 2 (Phys 2): 663 assigned | 658 processed | 53 I stole | 58 stolen from me -Node 3 (Phys 3): 617 assigned | 610 processed | 53 I stole | 60 stolen from me +Node 0 (Phys 0): 661 assigned | 672 processed | 83 I stole | 72 stolen from me +Node 1 (Phys 1): 633 assigned | 626 processed | 74 I stole | 81 stolen from me +Node 2 (Phys 2): 626 assigned | 636 processed | 79 I stole | 69 stolen from me +Node 3 (Phys 3): 642 assigned | 628 processed | 65 I stole | 79 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 224 chunks (8.7%) +Total Cross-Socket Traffic: 301 chunks (11.7%) ================================================================= 0 -real 0m0.349s -user 0m6.938s -sys 0m0.399s +real 0m0.350s +user 0m7.019s +sys 0m0.409s -CPU UTILIZATION: 21.022 / 28 +CPU UTILIZATION: 21.222 / 28 ----------------------------------------- @@ -7322,11 +7322,11 @@ Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.378s -user 0m7.549s -sys 0m0.486s +real 0m0.380s +user 0m7.599s +sys 0m0.513s -CPU UTILIZATION: 21.256 / 28 +CPU UTILIZATION: 21.347 / 28 ----------------------------------------- @@ -7344,11 +7344,11 @@ Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 1681 -real 0m0.379s -user 0m7.603s -sys 0m0.547s +real 0m0.378s +user 0m7.598s +sys 0m0.574s -CPU UTILIZATION: 21.503 / 28 +CPU UTILIZATION: 21.619 / 28 ----------------------------------------- @@ -7357,19 +7357,19 @@ CPU UTILIZATION: 21.503 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 690 assigned | 674 processed | 64 I stole | 80 stolen from me -Node 1 (Phys 1): 569 assigned | 595 processed | 98 I stole | 72 stolen from me -Node 2 (Phys 2): 630 assigned | 637 processed | 77 I stole | 70 stolen from me -Node 3 (Phys 3): 673 assigned | 656 processed | 45 I stole | 62 stolen from me +Node 0 (Phys 0): 655 assigned | 649 processed | 47 I stole | 53 stolen from me +Node 1 (Phys 1): 646 assigned | 652 processed | 60 I stole | 54 stolen from me +Node 2 (Phys 2): 648 assigned | 646 processed | 41 I stole | 43 stolen from me +Node 3 (Phys 3): 613 assigned | 615 processed | 49 I stole | 47 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 284 chunks (11.1%) +Total Cross-Socket Traffic: 197 chunks (7.7%) ================================================================= -real 0m0.367s -user 0m7.372s -sys 0m0.530s +real 0m0.373s +user 0m7.188s +sys 0m0.564s -CPU UTILIZATION: 21.531 / 28 +CPU UTILIZATION: 20.782 / 28 ----------------------------------------- @@ -7378,20 +7378,20 @@ CPU UTILIZATION: 21.531 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 621 assigned | 627 processed | 77 I stole | 71 stolen from me -Node 1 (Phys 1): 672 assigned | 641 processed | 49 I stole | 80 stolen from me -Node 2 (Phys 2): 666 assigned | 641 processed | 55 I stole | 80 stolen from me -Node 3 (Phys 3): 603 assigned | 653 processed | 95 I stole | 45 stolen from me +Node 0 (Phys 0): 605 assigned | 641 processed | 104 I stole | 68 stolen from me +Node 1 (Phys 1): 646 assigned | 637 processed | 78 I stole | 87 stolen from me +Node 2 (Phys 2): 676 assigned | 627 processed | 62 I stole | 111 stolen from me +Node 3 (Phys 3): 635 assigned | 657 processed | 95 I stole | 73 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 276 chunks (10.8%) +Total Cross-Socket Traffic: 339 chunks (13.2%) ================================================================= -3493 -real 0m0.375s -user 0m7.335s -sys 0m0.615s +3491 +real 0m0.366s +user 0m7.435s +sys 0m0.589s -CPU UTILIZATION: 21.200 / 28 +CPU UTILIZATION: 21.923 / 28 ----------------------------------------- @@ -7401,18 +7401,18 @@ CPU UTILIZATION: 21.200 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.463s -user 0m8.463s -sys 0m1.587s +real 0m0.451s +user 0m8.491s +sys 0m1.593s -CPU UTILIZATION: 21.706 / 28 +CPU UTILIZATION: 22.359 / 28 ----------------------------------------- @@ -7429,12 +7429,12 @@ Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -2169118 -real 0m0.456s -user 0m8.503s -sys 0m1.615s +2168851 +real 0m0.461s +user 0m8.486s +sys 0m1.685s -CPU UTILIZATION: 22.188 / 28 +CPU UTILIZATION: 22.062 / 28 ----------------------------------------- @@ -7443,19 +7443,19 @@ CPU UTILIZATION: 22.188 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 660 assigned | 665 processed | 65 I stole | 60 stolen from me -Node 1 (Phys 1): 599 assigned | 586 processed | 55 I stole | 68 stolen from me -Node 2 (Phys 2): 657 assigned | 664 processed | 67 I stole | 60 stolen from me -Node 3 (Phys 3): 646 assigned | 647 processed | 59 I stole | 58 stolen from me +Node 0 (Phys 0): 618 assigned | 611 processed | 52 I stole | 59 stolen from me +Node 1 (Phys 1): 647 assigned | 643 processed | 49 I stole | 53 stolen from me +Node 2 (Phys 2): 651 assigned | 673 processed | 59 I stole | 37 stolen from me +Node 3 (Phys 3): 646 assigned | 635 processed | 44 I stole | 55 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 246 chunks (9.6%) +Total Cross-Socket Traffic: 204 chunks (8.0%) ================================================================= -real 0m0.449s -user 0m8.254s -sys 0m1.573s +real 0m0.443s +user 0m8.310s +sys 0m1.632s -CPU UTILIZATION: 21.886 / 28 +CPU UTILIZATION: 22.442 / 28 ----------------------------------------- @@ -7464,20 +7464,20 @@ CPU UTILIZATION: 21.886 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 662 assigned | 647 processed | 37 I stole | 52 stolen from me -Node 1 (Phys 1): 604 assigned | 609 processed | 51 I stole | 46 stolen from me -Node 2 (Phys 2): 646 assigned | 649 processed | 36 I stole | 33 stolen from me -Node 3 (Phys 3): 650 assigned | 657 processed | 39 I stole | 32 stolen from me +Node 0 (Phys 0): 658 assigned | 649 processed | 44 I stole | 53 stolen from me +Node 1 (Phys 1): 646 assigned | 670 processed | 61 I stole | 37 stolen from me +Node 2 (Phys 2): 635 assigned | 629 processed | 39 I stole | 45 stolen from me +Node 3 (Phys 3): 623 assigned | 614 processed | 43 I stole | 52 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 163 chunks (6.4%) +Total Cross-Socket Traffic: 187 chunks (7.3%) ================================================================= -2169118 -real 0m0.443s -user 0m8.348s -sys 0m1.670s +2168851 +real 0m0.441s +user 0m8.339s +sys 0m1.724s -CPU UTILIZATION: 22.613 / 28 +CPU UTILIZATION: 22.818 / 28 ----------------------------------------- @@ -7494,11 +7494,11 @@ Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.394s -user 0m7.162s -sys 0m0.499s +real 0m0.404s +user 0m7.283s +sys 0m0.480s -CPU UTILIZATION: 19.444 / 28 +CPU UTILIZATION: 19.215 / 28 ----------------------------------------- @@ -7509,18 +7509,18 @@ NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m0.403s -user 0m7.269s -sys 0m0.492s +real 0m0.398s +user 0m7.247s +sys 0m0.499s -CPU UTILIZATION: 19.258 / 28 +CPU UTILIZATION: 19.462 / 28 ----------------------------------------- @@ -7529,19 +7529,19 @@ CPU UTILIZATION: 19.258 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 639 assigned | 649 processed | 89 I stole | 79 stolen from me -Node 1 (Phys 1): 616 assigned | 603 processed | 85 I stole | 98 stolen from me -Node 2 (Phys 2): 644 assigned | 658 processed | 102 I stole | 88 stolen from me -Node 3 (Phys 3): 663 assigned | 652 processed | 73 I stole | 84 stolen from me +Node 0 (Phys 0): 671 assigned | 639 processed | 65 I stole | 97 stolen from me +Node 1 (Phys 1): 631 assigned | 666 processed | 92 I stole | 57 stolen from me +Node 2 (Phys 2): 638 assigned | 654 processed | 81 I stole | 65 stolen from me +Node 3 (Phys 3): 622 assigned | 603 processed | 62 I stole | 81 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 349 chunks (13.6%) +Total Cross-Socket Traffic: 300 chunks (11.7%) ================================================================= -real 0m0.359s -user 0m6.906s -sys 0m0.414s +real 0m0.356s +user 0m6.998s +sys 0m0.403s -CPU UTILIZATION: 20.389 / 28 +CPU UTILIZATION: 20.789 / 28 ----------------------------------------- @@ -7550,20 +7550,20 @@ CPU UTILIZATION: 20.389 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 675 assigned | 676 processed | 69 I stole | 68 stolen from me -Node 1 (Phys 1): 652 assigned | 653 processed | 77 I stole | 76 stolen from me -Node 2 (Phys 2): 604 assigned | 601 processed | 67 I stole | 70 stolen from me -Node 3 (Phys 3): 631 assigned | 632 processed | 64 I stole | 63 stolen from me +Node 0 (Phys 0): 696 assigned | 681 processed | 74 I stole | 89 stolen from me +Node 1 (Phys 1): 645 assigned | 656 processed | 80 I stole | 69 stolen from me +Node 2 (Phys 2): 578 assigned | 604 processed | 80 I stole | 54 stolen from me +Node 3 (Phys 3): 643 assigned | 621 processed | 60 I stole | 82 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 277 chunks (10.8%) +Total Cross-Socket Traffic: 294 chunks (11.5%) ================================================================= 0 -real 0m0.349s -user 0m6.861s -sys 0m0.415s +real 0m0.355s +user 0m6.892s +sys 0m0.446s -CPU UTILIZATION: 20.848 / 28 +CPU UTILIZATION: 20.670 / 28 ----------------------------------------- @@ -7572,19 +7572,19 @@ CPU UTILIZATION: 20.848 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.422s -user 0m7.519s -sys 0m0.627s +real 0m0.429s +user 0m7.560s +sys 0m0.633s -CPU UTILIZATION: 19.303 / 28 +CPU UTILIZATION: 19.097 / 28 ----------------------------------------- @@ -7594,19 +7594,19 @@ CPU UTILIZATION: 19.303 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 19 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 19 assigned | 20 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (1.2%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 1478 -real 0m0.416s -user 0m7.589s -sys 0m0.676s +real 0m0.430s +user 0m7.655s +sys 0m0.661s -CPU UTILIZATION: 19.867 / 28 +CPU UTILIZATION: 19.339 / 28 ----------------------------------------- @@ -7615,19 +7615,19 @@ CPU UTILIZATION: 19.867 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 616 assigned | 626 processed | 61 I stole | 51 stolen from me -Node 1 (Phys 1): 641 assigned | 649 processed | 51 I stole | 43 stolen from me -Node 2 (Phys 2): 649 assigned | 642 processed | 47 I stole | 54 stolen from me -Node 3 (Phys 3): 656 assigned | 645 processed | 54 I stole | 65 stolen from me +Node 0 (Phys 0): 674 assigned | 663 processed | 54 I stole | 65 stolen from me +Node 1 (Phys 1): 645 assigned | 662 processed | 71 I stole | 54 stolen from me +Node 2 (Phys 2): 627 assigned | 612 processed | 63 I stole | 78 stolen from me +Node 3 (Phys 3): 616 assigned | 625 processed | 61 I stole | 52 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 213 chunks (8.3%) +Total Cross-Socket Traffic: 249 chunks (9.7%) ================================================================= -real 0m0.374s -user 0m7.351s -sys 0m0.553s +real 0m0.372s +user 0m7.412s +sys 0m0.559s -CPU UTILIZATION: 21.133 / 28 +CPU UTILIZATION: 21.427 / 28 ----------------------------------------- @@ -7636,20 +7636,20 @@ CPU UTILIZATION: 21.133 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 679 assigned | 653 processed | 56 I stole | 82 stolen from me -Node 1 (Phys 1): 645 assigned | 640 processed | 67 I stole | 72 stolen from me -Node 2 (Phys 2): 601 assigned | 633 processed | 91 I stole | 59 stolen from me -Node 3 (Phys 3): 637 assigned | 636 processed | 70 I stole | 71 stolen from me +Node 0 (Phys 0): 622 assigned | 625 processed | 65 I stole | 62 stolen from me +Node 1 (Phys 1): 647 assigned | 652 processed | 56 I stole | 51 stolen from me +Node 2 (Phys 2): 664 assigned | 645 processed | 41 I stole | 60 stolen from me +Node 3 (Phys 3): 629 assigned | 640 processed | 45 I stole | 34 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 284 chunks (11.1%) +Total Cross-Socket Traffic: 207 chunks (8.1%) ================================================================= -3460 -real 0m0.369s -user 0m7.286s -sys 0m0.581s +3458 +real 0m0.364s +user 0m7.352s +sys 0m0.598s -CPU UTILIZATION: 21.319 / 28 +CPU UTILIZATION: 21.840 / 28 ----------------------------------------- @@ -7660,17 +7660,17 @@ NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 21 assigned | 20 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 19 assigned | 20 processed | 1 I stole | 0 stolen from me +Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (1.2%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.522s -user 0m8.569s -sys 0m1.620s +real 0m0.496s +user 0m8.613s +sys 0m1.671s -CPU UTILIZATION: 19.519 / 28 +CPU UTILIZATION: 20.733 / 28 ----------------------------------------- @@ -7679,20 +7679,20 @@ CPU UTILIZATION: 19.519 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -2169118 -real 0m0.501s -user 0m8.584s -sys 0m1.699s +2168851 +real 0m0.505s +user 0m8.484s +sys 0m1.714s -CPU UTILIZATION: 20.524 / 28 +CPU UTILIZATION: 20.194 / 28 ----------------------------------------- @@ -7701,19 +7701,19 @@ CPU UTILIZATION: 20.524 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 653 assigned | 643 processed | 59 I stole | 69 stolen from me -Node 1 (Phys 1): 636 assigned | 619 processed | 47 I stole | 64 stolen from me -Node 2 (Phys 2): 625 assigned | 649 processed | 70 I stole | 46 stolen from me -Node 3 (Phys 3): 648 assigned | 651 processed | 50 I stole | 47 stolen from me +Node 0 (Phys 0): 630 assigned | 646 processed | 42 I stole | 26 stolen from me +Node 1 (Phys 1): 656 assigned | 640 processed | 22 I stole | 38 stolen from me +Node 2 (Phys 2): 652 assigned | 648 processed | 32 I stole | 36 stolen from me +Node 3 (Phys 3): 624 assigned | 628 processed | 39 I stole | 35 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 226 chunks (8.8%) +Total Cross-Socket Traffic: 135 chunks (5.3%) ================================================================= -real 0m0.449s -user 0m8.494s -sys 0m1.669s +real 0m0.437s +user 0m8.317s +sys 0m1.633s -CPU UTILIZATION: 22.634 / 28 +CPU UTILIZATION: 22.768 / 28 ----------------------------------------- @@ -7722,20 +7722,20 @@ CPU UTILIZATION: 22.634 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 617 assigned | 611 processed | 49 I stole | 55 stolen from me -Node 1 (Phys 1): 688 assigned | 679 processed | 39 I stole | 48 stolen from me -Node 2 (Phys 2): 645 assigned | 674 processed | 64 I stole | 35 stolen from me -Node 3 (Phys 3): 612 assigned | 598 processed | 49 I stole | 63 stolen from me +Node 0 (Phys 0): 635 assigned | 643 processed | 58 I stole | 50 stolen from me +Node 1 (Phys 1): 659 assigned | 664 processed | 51 I stole | 46 stolen from me +Node 2 (Phys 2): 635 assigned | 617 processed | 38 I stole | 56 stolen from me +Node 3 (Phys 3): 633 assigned | 638 processed | 46 I stole | 41 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 201 chunks (7.8%) +Total Cross-Socket Traffic: 193 chunks (7.5%) ================================================================= -2169118 -real 0m0.444s -user 0m8.216s -sys 0m1.653s +2168851 +real 0m0.439s +user 0m8.268s +sys 0m1.739s -CPU UTILIZATION: 22.227 / 28 +CPU UTILIZATION: 22.794 / 28 ----------------------------------------- @@ -7744,19 +7744,19 @@ CPU UTILIZATION: 22.227 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 21 assigned | 22 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 20 processed | 0 I stole | 1 stolen from me Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 1 chunks (1.2%) ================================================================= -real 0m0.141s -user 0m0.173s -sys 0m0.281s +real 0m0.138s +user 0m0.224s +sys 0m0.300s -CPU UTILIZATION: 3.219 / 28 +CPU UTILIZATION: 3.797 / 28 ----------------------------------------- @@ -7766,19 +7766,19 @@ CPU UTILIZATION: 3.219 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 20 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 20 assigned | 21 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (1.2%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m0.144s -user 0m0.188s -sys 0m0.270s +real 0m0.139s +user 0m0.157s +sys 0m0.296s -CPU UTILIZATION: 3.180 / 28 +CPU UTILIZATION: 3.258 / 28 ----------------------------------------- @@ -7787,19 +7787,19 @@ CPU UTILIZATION: 3.180 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 662 assigned | 686 processed | 24 I stole | 0 stolen from me -Node 1 (Phys 1): 638 assigned | 624 processed | 0 I stole | 14 stolen from me -Node 2 (Phys 2): 619 assigned | 612 processed | 0 I stole | 7 stolen from me -Node 3 (Phys 3): 643 assigned | 640 processed | 0 I stole | 3 stolen from me +Node 0 (Phys 0): 657 assigned | 671 processed | 14 I stole | 0 stolen from me +Node 1 (Phys 1): 652 assigned | 653 processed | 4 I stole | 3 stolen from me +Node 2 (Phys 2): 634 assigned | 624 processed | 0 I stole | 10 stolen from me +Node 3 (Phys 3): 619 assigned | 614 processed | 0 I stole | 5 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 24 chunks (0.9%) +Total Cross-Socket Traffic: 18 chunks (0.7%) ================================================================= -real 0m0.166s -user 0m0.452s -sys 0m0.604s +real 0m0.168s +user 0m0.491s +sys 0m0.621s -CPU UTILIZATION: 6.361 / 28 +CPU UTILIZATION: 6.619 / 28 ----------------------------------------- @@ -7808,20 +7808,20 @@ CPU UTILIZATION: 6.361 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 657 assigned | 666 processed | 9 I stole | 0 stolen from me -Node 1 (Phys 1): 637 assigned | 631 processed | 0 I stole | 6 stolen from me -Node 2 (Phys 2): 647 assigned | 646 processed | 1 I stole | 2 stolen from me -Node 3 (Phys 3): 621 assigned | 619 processed | 0 I stole | 2 stolen from me +Node 0 (Phys 0): 690 assigned | 697 processed | 7 I stole | 0 stolen from me +Node 1 (Phys 1): 645 assigned | 645 processed | 4 I stole | 4 stolen from me +Node 2 (Phys 2): 626 assigned | 623 processed | 1 I stole | 4 stolen from me +Node 3 (Phys 3): 601 assigned | 597 processed | 0 I stole | 4 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 10 chunks (0.4%) +Total Cross-Socket Traffic: 12 chunks (0.5%) ================================================================= 0 -real 0m0.161s -user 0m0.514s -sys 0m0.582s +real 0m0.163s +user 0m0.495s +sys 0m0.569s -CPU UTILIZATION: 6.807 / 28 +CPU UTILIZATION: 6.527 / 28 ----------------------------------------- @@ -7830,19 +7830,19 @@ CPU UTILIZATION: 6.807 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 22 assigned | 23 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 18 processed | 0 I stole | 1 stolen from me +Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (1.2%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.156s -user 0m0.670s -sys 0m0.928s +real 0m0.157s +user 0m0.711s +sys 0m0.912s -CPU UTILIZATION: 10.243 / 28 +CPU UTILIZATION: 10.337 / 28 ----------------------------------------- @@ -7851,20 +7851,20 @@ CPU UTILIZATION: 10.243 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 1 I stole | 1 stolen from me -Node 1 (Phys 1): 21 assigned | 22 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 18 processed | 0 I stole | 1 stolen from me +Node 0 (Phys 0): 24 assigned | 25 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 18 assigned | 17 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 2 chunks (2.4%) +Total Cross-Socket Traffic: 1 chunks (1.2%) ================================================================= -2113379 -real 0m0.181s -user 0m0.700s -sys 0m0.941s +2113621 +real 0m0.179s +user 0m0.693s +sys 0m0.979s -CPU UTILIZATION: 9.066 / 28 +CPU UTILIZATION: 9.340 / 28 ----------------------------------------- @@ -7873,19 +7873,19 @@ CPU UTILIZATION: 9.066 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 652 assigned | 656 processed | 6 I stole | 2 stolen from me -Node 1 (Phys 1): 631 assigned | 628 processed | 1 I stole | 4 stolen from me -Node 2 (Phys 2): 638 assigned | 637 processed | 3 I stole | 4 stolen from me -Node 3 (Phys 3): 641 assigned | 641 processed | 1 I stole | 1 stolen from me +Node 0 (Phys 0): 647 assigned | 652 processed | 7 I stole | 2 stolen from me +Node 1 (Phys 1): 655 assigned | 652 processed | 0 I stole | 3 stolen from me +Node 2 (Phys 2): 637 assigned | 637 processed | 4 I stole | 4 stolen from me +Node 3 (Phys 3): 623 assigned | 621 processed | 1 I stole | 3 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 11 chunks (0.4%) +Total Cross-Socket Traffic: 12 chunks (0.5%) ================================================================= -real 0m0.225s -user 0m1.568s -sys 0m1.580s +real 0m0.226s +user 0m1.613s +sys 0m1.551s -CPU UTILIZATION: 13.991 / 28 +CPU UTILIZATION: 14.000 / 28 ----------------------------------------- @@ -7894,20 +7894,20 @@ CPU UTILIZATION: 13.991 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 646 assigned | 649 processed | 7 I stole | 4 stolen from me -Node 1 (Phys 1): 648 assigned | 653 processed | 7 I stole | 2 stolen from me -Node 2 (Phys 2): 639 assigned | 633 processed | 0 I stole | 6 stolen from me -Node 3 (Phys 3): 629 assigned | 627 processed | 3 I stole | 5 stolen from me +Node 0 (Phys 0): 650 assigned | 652 processed | 5 I stole | 3 stolen from me +Node 1 (Phys 1): 652 assigned | 654 processed | 2 I stole | 0 stolen from me +Node 2 (Phys 2): 637 assigned | 634 processed | 2 I stole | 5 stolen from me +Node 3 (Phys 3): 623 assigned | 622 processed | 2 I stole | 3 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 17 chunks (0.7%) +Total Cross-Socket Traffic: 11 chunks (0.4%) ================================================================= -2113379 +2113621 real 0m0.226s -user 0m1.574s -sys 0m1.640s +user 0m1.583s +sys 0m1.707s -CPU UTILIZATION: 14.221 / 28 +CPU UTILIZATION: 14.557 / 28 ----------------------------------------- @@ -7916,19 +7916,19 @@ CPU UTILIZATION: 14.221 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 23 assigned | 24 processed | 1 I stole | 0 stolen from me +Node 0 (Phys 0): 23 assigned | 25 processed | 2 I stole | 0 stolen from me Node 1 (Phys 1): 22 assigned | 22 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 18 assigned | 17 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 18 assigned | 16 processed | 0 I stole | 2 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (1.2%) +Total Cross-Socket Traffic: 2 chunks (2.4%) ================================================================= -real 0m0.163s -user 0m0.676s -sys 0m0.854s +real 0m0.158s +user 0m0.697s +sys 0m0.841s -CPU UTILIZATION: 9.386 / 28 +CPU UTILIZATION: 9.734 / 28 ----------------------------------------- @@ -7937,20 +7937,20 @@ CPU UTILIZATION: 9.386 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 22 assigned | 23 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 18 processed | 0 I stole | 1 stolen from me +Node 0 (Phys 0): 24 assigned | 26 processed | 2 I stole | 0 stolen from me +Node 1 (Phys 1): 22 assigned | 21 processed | 0 I stole | 1 stolen from me +Node 2 (Phys 2): 18 assigned | 18 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 18 assigned | 17 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (1.2%) +Total Cross-Socket Traffic: 2 chunks (2.4%) ================================================================= -2113379 -real 0m0.181s -user 0m0.695s -sys 0m0.935s +2113621 +real 0m0.175s +user 0m0.707s +sys 0m0.933s -CPU UTILIZATION: 9.005 / 28 +CPU UTILIZATION: 9.371 / 28 ----------------------------------------- @@ -7959,19 +7959,19 @@ CPU UTILIZATION: 9.005 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 665 assigned | 667 processed | 2 I stole | 0 stolen from me -Node 1 (Phys 1): 643 assigned | 640 processed | 1 I stole | 4 stolen from me -Node 2 (Phys 2): 635 assigned | 638 processed | 4 I stole | 1 stolen from me -Node 3 (Phys 3): 619 assigned | 617 processed | 2 I stole | 4 stolen from me +Node 0 (Phys 0): 633 assigned | 639 processed | 8 I stole | 2 stolen from me +Node 1 (Phys 1): 648 assigned | 648 processed | 3 I stole | 3 stolen from me +Node 2 (Phys 2): 651 assigned | 650 processed | 4 I stole | 5 stolen from me +Node 3 (Phys 3): 630 assigned | 625 processed | 0 I stole | 5 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 9 chunks (0.4%) +Total Cross-Socket Traffic: 15 chunks (0.6%) ================================================================= -real 0m0.225s -user 0m1.552s -sys 0m1.506s +real 0m0.220s +user 0m1.562s +sys 0m1.516s -CPU UTILIZATION: 13.591 / 28 +CPU UTILIZATION: 13.990 / 28 ----------------------------------------- @@ -7980,20 +7980,20 @@ CPU UTILIZATION: 13.591 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 621 assigned | 628 processed | 10 I stole | 3 stolen from me -Node 1 (Phys 1): 647 assigned | 648 processed | 4 I stole | 3 stolen from me -Node 2 (Phys 2): 649 assigned | 636 processed | 1 I stole | 14 stolen from me -Node 3 (Phys 3): 645 assigned | 650 processed | 7 I stole | 2 stolen from me +Node 0 (Phys 0): 629 assigned | 636 processed | 9 I stole | 2 stolen from me +Node 1 (Phys 1): 634 assigned | 637 processed | 6 I stole | 3 stolen from me +Node 2 (Phys 2): 653 assigned | 649 processed | 3 I stole | 7 stolen from me +Node 3 (Phys 3): 646 assigned | 640 processed | 1 I stole | 7 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 22 chunks (0.9%) +Total Cross-Socket Traffic: 19 chunks (0.7%) ================================================================= -2113379 -real 0m0.223s -user 0m1.603s -sys 0m1.550s +2113621 +real 0m0.222s +user 0m1.536s +sys 0m1.635s -CPU UTILIZATION: 14.139 / 28 +CPU UTILIZATION: 14.283 / 28 ----------------------------------------- @@ -8003,18 +8003,18 @@ CPU UTILIZATION: 14.139 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 20 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 20 assigned | 21 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (1.2%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.141s -user 0m0.064s -sys 0m0.190s +real 0m0.137s +user 0m0.058s +sys 0m0.194s -CPU UTILIZATION: 1.801 / 28 +CPU UTILIZATION: 1.839 / 28 ----------------------------------------- @@ -8032,11 +8032,11 @@ Total Cross-Socket Traffic: 1 chunks (1.2%) ================================================================= 0 -real 0m0.146s -user 0m0.069s -sys 0m0.192s +real 0m0.143s +user 0m0.055s +sys 0m0.203s -CPU UTILIZATION: 1.787 / 28 +CPU UTILIZATION: 1.804 / 28 ----------------------------------------- @@ -8045,19 +8045,19 @@ CPU UTILIZATION: 1.787 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 644 assigned | 652 processed | 8 I stole | 0 stolen from me -Node 1 (Phys 1): 644 assigned | 639 processed | 0 I stole | 5 stolen from me -Node 2 (Phys 2): 638 assigned | 638 processed | 1 I stole | 1 stolen from me -Node 3 (Phys 3): 636 assigned | 633 processed | 0 I stole | 3 stolen from me +Node 0 (Phys 0): 651 assigned | 668 processed | 17 I stole | 0 stolen from me +Node 1 (Phys 1): 639 assigned | 630 processed | 1 I stole | 10 stolen from me +Node 2 (Phys 2): 638 assigned | 637 processed | 2 I stole | 3 stolen from me +Node 3 (Phys 3): 634 assigned | 627 processed | 0 I stole | 7 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 9 chunks (0.4%) +Total Cross-Socket Traffic: 20 chunks (0.8%) ================================================================= -real 0m0.161s -user 0m0.376s -sys 0m0.363s +real 0m0.164s +user 0m0.368s +sys 0m0.380s -CPU UTILIZATION: 4.590 / 28 +CPU UTILIZATION: 4.560 / 28 ----------------------------------------- @@ -8066,20 +8066,20 @@ CPU UTILIZATION: 4.590 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 645 assigned | 659 processed | 14 I stole | 0 stolen from me -Node 1 (Phys 1): 643 assigned | 639 processed | 1 I stole | 5 stolen from me -Node 2 (Phys 2): 637 assigned | 632 processed | 0 I stole | 5 stolen from me -Node 3 (Phys 3): 637 assigned | 632 processed | 0 I stole | 5 stolen from me +Node 0 (Phys 0): 644 assigned | 643 processed | 0 I stole | 1 stolen from me +Node 1 (Phys 1): 640 assigned | 635 processed | 0 I stole | 5 stolen from me +Node 2 (Phys 2): 644 assigned | 654 processed | 10 I stole | 0 stolen from me +Node 3 (Phys 3): 634 assigned | 630 processed | 0 I stole | 4 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 15 chunks (0.6%) +Total Cross-Socket Traffic: 10 chunks (0.4%) ================================================================= 0 -real 0m0.149s -user 0m0.314s -sys 0m0.388s +real 0m0.154s +user 0m0.354s +sys 0m0.357s -CPU UTILIZATION: 4.711 / 28 +CPU UTILIZATION: 4.616 / 28 ----------------------------------------- @@ -8096,11 +8096,11 @@ Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.134s -user 0m0.134s -sys 0m0.309s +real 0m0.139s +user 0m0.152s +sys 0m0.317s -CPU UTILIZATION: 3.305 / 28 +CPU UTILIZATION: 3.374 / 28 ----------------------------------------- @@ -8109,20 +8109,20 @@ CPU UTILIZATION: 3.305 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 21 assigned | 22 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 20 processed | 0 I stole | 1 stolen from me +Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 1 chunks (1.2%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -2113379 -real 0m0.138s +2113621 +real 0m0.140s user 0m0.147s -sys 0m0.368s +sys 0m0.377s -CPU UTILIZATION: 3.731 / 28 +CPU UTILIZATION: 3.742 / 28 ----------------------------------------- @@ -8131,19 +8131,19 @@ CPU UTILIZATION: 3.731 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 635 assigned | 639 processed | 5 I stole | 1 stolen from me -Node 1 (Phys 1): 643 assigned | 645 processed | 3 I stole | 1 stolen from me -Node 2 (Phys 2): 643 assigned | 641 processed | 0 I stole | 2 stolen from me -Node 3 (Phys 3): 641 assigned | 637 processed | 0 I stole | 4 stolen from me +Node 0 (Phys 0): 640 assigned | 643 processed | 3 I stole | 0 stolen from me +Node 1 (Phys 1): 646 assigned | 645 processed | 1 I stole | 2 stolen from me +Node 2 (Phys 2): 639 assigned | 638 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 637 assigned | 636 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 8 chunks (0.3%) +Total Cross-Socket Traffic: 4 chunks (0.2%) ================================================================= -real 0m0.200s -user 0m0.930s -sys 0m0.907s +real 0m0.203s +user 0m0.939s +sys 0m0.893s -CPU UTILIZATION: 9.185 / 28 +CPU UTILIZATION: 9.024 / 28 ----------------------------------------- @@ -8152,20 +8152,20 @@ CPU UTILIZATION: 9.185 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 647 assigned | 649 processed | 2 I stole | 0 stolen from me -Node 1 (Phys 1): 653 assigned | 651 processed | 1 I stole | 3 stolen from me -Node 2 (Phys 2): 629 assigned | 628 processed | 3 I stole | 4 stolen from me -Node 3 (Phys 3): 633 assigned | 634 processed | 2 I stole | 1 stolen from me +Node 0 (Phys 0): 640 assigned | 641 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 634 assigned | 636 processed | 2 I stole | 0 stolen from me +Node 2 (Phys 2): 642 assigned | 640 processed | 0 I stole | 2 stolen from me +Node 3 (Phys 3): 646 assigned | 645 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 8 chunks (0.3%) +Total Cross-Socket Traffic: 3 chunks (0.1%) ================================================================= -2113379 +2113621 real 0m0.202s -user 0m0.920s -sys 0m0.988s +user 0m0.945s +sys 0m0.990s -CPU UTILIZATION: 9.445 / 28 +CPU UTILIZATION: 9.579 / 28 ----------------------------------------- @@ -8174,19 +8174,19 @@ CPU UTILIZATION: 9.445 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 21 assigned | 22 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 21 assigned | 20 processed | 0 I stole | 1 stolen from me Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 0 chunks (0.0%) +Total Cross-Socket Traffic: 1 chunks (1.2%) ================================================================= -real 0m0.137s -user 0m0.142s -sys 0m0.317s +real 0m0.139s +user 0m0.135s +sys 0m0.324s -CPU UTILIZATION: 3.350 / 28 +CPU UTILIZATION: 3.302 / 28 ----------------------------------------- @@ -8203,12 +8203,12 @@ Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -2113379 -real 0m0.140s -user 0m0.157s -sys 0m0.383s +2113621 +real 0m0.139s +user 0m0.153s +sys 0m0.374s -CPU UTILIZATION: 3.857 / 28 +CPU UTILIZATION: 3.791 / 28 ----------------------------------------- @@ -8217,19 +8217,19 @@ CPU UTILIZATION: 3.857 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 652 assigned | 652 processed | 5 I stole | 5 stolen from me -Node 1 (Phys 1): 638 assigned | 640 processed | 5 I stole | 3 stolen from me -Node 2 (Phys 2): 632 assigned | 632 processed | 3 I stole | 3 stolen from me -Node 3 (Phys 3): 640 assigned | 638 processed | 3 I stole | 5 stolen from me +Node 0 (Phys 0): 648 assigned | 648 processed | 1 I stole | 1 stolen from me +Node 1 (Phys 1): 642 assigned | 641 processed | 4 I stole | 5 stolen from me +Node 2 (Phys 2): 635 assigned | 636 processed | 2 I stole | 1 stolen from me +Node 3 (Phys 3): 637 assigned | 637 processed | 2 I stole | 2 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 16 chunks (0.6%) +Total Cross-Socket Traffic: 9 chunks (0.4%) ================================================================= -real 0m0.198s -user 0m0.902s -sys 0m0.880s +real 0m0.195s +user 0m0.929s +sys 0m0.869s -CPU UTILIZATION: 9.000 / 28 +CPU UTILIZATION: 9.220 / 28 ----------------------------------------- @@ -8238,20 +8238,20 @@ CPU UTILIZATION: 9.000 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 640 assigned | 642 processed | 5 I stole | 3 stolen from me -Node 1 (Phys 1): 644 assigned | 642 processed | 5 I stole | 7 stolen from me -Node 2 (Phys 2): 634 assigned | 634 processed | 5 I stole | 5 stolen from me -Node 3 (Phys 3): 644 assigned | 644 processed | 4 I stole | 4 stolen from me +Node 0 (Phys 0): 648 assigned | 646 processed | 2 I stole | 4 stolen from me +Node 1 (Phys 1): 637 assigned | 638 processed | 7 I stole | 6 stolen from me +Node 2 (Phys 2): 644 assigned | 643 processed | 4 I stole | 5 stolen from me +Node 3 (Phys 3): 633 assigned | 635 processed | 4 I stole | 2 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 19 chunks (0.7%) +Total Cross-Socket Traffic: 17 chunks (0.7%) ================================================================= -2113379 -real 0m0.199s -user 0m0.901s -sys 0m0.972s +2113621 +real 0m0.198s +user 0m0.918s +sys 0m0.976s -CPU UTILIZATION: 9.412 / 28 +CPU UTILIZATION: 9.565 / 28 ----------------------------------------- @@ -8260,19 +8260,19 @@ CPU UTILIZATION: 9.412 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m0.221s -user 0m2.541s -sys 0m1.224s +real 0m0.224s +user 0m2.793s +sys 0m1.111s -CPU UTILIZATION: 17.036 / 28 +CPU UTILIZATION: 17.428 / 28 ----------------------------------------- @@ -8282,19 +8282,19 @@ CPU UTILIZATION: 17.036 / 28 NUMA TELEMETRY (CHUNKS) ================================================================= Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= 0 -real 0m0.220s -user 0m2.602s -sys 0m1.082s +real 0m0.222s +user 0m2.781s +sys 0m1.150s -CPU UTILIZATION: 16.745 / 28 +CPU UTILIZATION: 17.707 / 28 ----------------------------------------- @@ -8303,19 +8303,19 @@ CPU UTILIZATION: 16.745 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 622 assigned | 646 processed | 64 I stole | 40 stolen from me -Node 1 (Phys 1): 641 assigned | 626 processed | 43 I stole | 58 stolen from me -Node 2 (Phys 2): 642 assigned | 623 processed | 29 I stole | 48 stolen from me -Node 3 (Phys 3): 657 assigned | 667 processed | 45 I stole | 35 stolen from me +Node 0 (Phys 0): 610 assigned | 605 processed | 27 I stole | 32 stolen from me +Node 1 (Phys 1): 674 assigned | 685 processed | 34 I stole | 23 stolen from me +Node 2 (Phys 2): 623 assigned | 606 processed | 15 I stole | 32 stolen from me +Node 3 (Phys 3): 655 assigned | 666 processed | 27 I stole | 16 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 181 chunks (7.1%) +Total Cross-Socket Traffic: 103 chunks (4.0%) ================================================================= -real 0m0.246s -user 0m2.671s -sys 0m1.390s +real 0m0.239s +user 0m2.762s +sys 0m1.263s -CPU UTILIZATION: 16.508 / 28 +CPU UTILIZATION: 16.841 / 28 ----------------------------------------- @@ -8324,20 +8324,20 @@ CPU UTILIZATION: 16.508 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 660 assigned | 651 processed | 25 I stole | 34 stolen from me -Node 1 (Phys 1): 661 assigned | 667 processed | 31 I stole | 25 stolen from me -Node 2 (Phys 2): 601 assigned | 596 processed | 29 I stole | 34 stolen from me -Node 3 (Phys 3): 640 assigned | 648 processed | 34 I stole | 26 stolen from me +Node 0 (Phys 0): 681 assigned | 656 processed | 27 I stole | 52 stolen from me +Node 1 (Phys 1): 639 assigned | 625 processed | 30 I stole | 44 stolen from me +Node 2 (Phys 2): 596 assigned | 623 processed | 56 I stole | 29 stolen from me +Node 3 (Phys 3): 646 assigned | 658 processed | 40 I stole | 28 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 119 chunks (4.6%) +Total Cross-Socket Traffic: 153 chunks (6.0%) ================================================================= 0 -real 0m0.249s -user 0m2.704s -sys 0m1.361s +real 0m0.254s +user 0m2.766s +sys 0m1.407s -CPU UTILIZATION: 16.325 / 28 +CPU UTILIZATION: 16.429 / 28 ----------------------------------------- @@ -8354,11 +8354,11 @@ Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.151s -user 0m14.463s -sys 0m11.968s +real 0m1.163s +user 0m14.678s +sys 0m12.030s -CPU UTILIZATION: 22.963 / 28 +CPU UTILIZATION: 22.964 / 28 ----------------------------------------- @@ -8375,12 +8375,12 @@ Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -2113379 -real 0m1.158s -user 0m14.605s -sys 0m12.082s +2113621 +real 0m1.171s +user 0m14.601s +sys 0m12.328s -CPU UTILIZATION: 23.045 / 28 +CPU UTILIZATION: 22.996 / 28 ----------------------------------------- @@ -8389,19 +8389,19 @@ CPU UTILIZATION: 23.045 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 644 assigned | 645 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 642 assigned | 640 processed | 0 I stole | 2 stolen from me -Node 2 (Phys 2): 639 assigned | 640 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 637 assigned | 637 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 643 assigned | 644 processed | 1 I stole | 0 stolen from me +Node 1 (Phys 1): 640 assigned | 640 processed | 1 I stole | 1 stolen from me +Node 2 (Phys 2): 641 assigned | 640 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 638 assigned | 638 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= -real 0m1.141s -user 0m14.470s -sys 0m12.170s +real 0m1.163s +user 0m14.552s +sys 0m12.493s -CPU UTILIZATION: 23.347 / 28 +CPU UTILIZATION: 23.254 / 28 ----------------------------------------- @@ -8410,20 +8410,20 @@ CPU UTILIZATION: 23.347 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 643 assigned | 644 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 642 assigned | 642 processed | 1 I stole | 1 stolen from me -Node 2 (Phys 2): 639 assigned | 638 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 638 assigned | 638 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 647 assigned | 647 processed | 1 I stole | 1 stolen from me +Node 1 (Phys 1): 640 assigned | 640 processed | 1 I stole | 1 stolen from me +Node 2 (Phys 2): 639 assigned | 639 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 636 assigned | 636 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- Total Cross-Socket Traffic: 2 chunks (0.1%) ================================================================= -2113379 -real 0m1.162s -user 0m14.448s -sys 0m12.404s +2113621 +real 0m1.169s +user 0m14.682s +sys 0m12.508s -CPU UTILIZATION: 23.108 / 28 +CPU UTILIZATION: 23.259 / 28 ----------------------------------------- @@ -8440,11 +8440,11 @@ Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -real 0m1.129s -user 0m14.391s -sys 0m11.574s +real 0m1.138s +user 0m14.592s +sys 0m11.701s -CPU UTILIZATION: 22.998 / 28 +CPU UTILIZATION: 23.104 / 28 ----------------------------------------- @@ -8461,12 +8461,12 @@ Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -2113379 -real 0m1.141s -user 0m14.451s -sys 0m11.800s +2113621 +real 0m1.154s +user 0m14.544s +sys 0m11.957s -CPU UTILIZATION: 23.007 / 28 +CPU UTILIZATION: 22.964 / 28 ----------------------------------------- @@ -8475,19 +8475,19 @@ CPU UTILIZATION: 23.007 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 645 assigned | 644 processed | 1 I stole | 2 stolen from me -Node 1 (Phys 1): 640 assigned | 639 processed | 1 I stole | 2 stolen from me -Node 2 (Phys 2): 642 assigned | 644 processed | 2 I stole | 0 stolen from me -Node 3 (Phys 3): 635 assigned | 635 processed | 0 I stole | 0 stolen from me +Node 0 (Phys 0): 641 assigned | 643 processed | 2 I stole | 0 stolen from me +Node 1 (Phys 1): 641 assigned | 641 processed | 1 I stole | 1 stolen from me +Node 2 (Phys 2): 639 assigned | 638 processed | 0 I stole | 1 stolen from me +Node 3 (Phys 3): 641 assigned | 640 processed | 0 I stole | 1 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 4 chunks (0.2%) +Total Cross-Socket Traffic: 3 chunks (0.1%) ================================================================= -real 0m1.139s -user 0m14.472s -sys 0m11.895s +real 0m1.144s +user 0m14.600s +sys 0m11.971s -CPU UTILIZATION: 23.149 / 28 +CPU UTILIZATION: 23.226 / 28 ----------------------------------------- @@ -8496,20 +8496,20 @@ CPU UTILIZATION: 23.149 / 28 ================================================================= NUMA TELEMETRY (CHUNKS) ================================================================= -Node 0 (Phys 0): 641 assigned | 641 processed | 1 I stole | 1 stolen from me -Node 1 (Phys 1): 641 assigned | 642 processed | 2 I stole | 1 stolen from me -Node 2 (Phys 2): 642 assigned | 641 processed | 1 I stole | 2 stolen from me -Node 3 (Phys 3): 638 assigned | 638 processed | 1 I stole | 1 stolen from me +Node 0 (Phys 0): 643 assigned | 643 processed | 0 I stole | 0 stolen from me +Node 1 (Phys 1): 641 assigned | 641 processed | 0 I stole | 0 stolen from me +Node 2 (Phys 2): 638 assigned | 638 processed | 0 I stole | 0 stolen from me +Node 3 (Phys 3): 640 assigned | 640 processed | 0 I stole | 0 stolen from me ----------------------------------------------------------------- -Total Cross-Socket Traffic: 5 chunks (0.2%) +Total Cross-Socket Traffic: 0 chunks (0.0%) ================================================================= -2113379 -real 0m1.147s -user 0m14.496s -sys 0m12.046s +2113621 +real 0m1.155s +user 0m14.616s +sys 0m12.171s -CPU UTILIZATION: 23.140 / 28 +CPU UTILIZATION: 23.192 / 28 ----------------------------------------- @@ -8530,15 +8530,15 @@ LINE COUNT: 100000000 lines NAME: f3 -SIZE: 167782912 bytes -LINE COUNT: 2113379 lines +SIZE: 167808321 bytes +LINE COUNT: 2113621 lines -total sys = 4358959 ms +total sys = 4385244 ms -total user = 7337672 ms +total user = 7381081 ms -total real = 480177 ms +total real = 482751 ms -OVERALL CPU UTILIZATION: 24.358 / 28 +OVERALL CPU UTILIZATION: 24.373 / 28 diff --git a/BENCHMARKS/benchmark.out b/BENCHMARKS/benchmark.out deleted file mode 100644 index d9f525ac..00000000 --- a/BENCHMARKS/benchmark.out +++ /dev/null @@ -1,8544 +0,0 @@ - -(1): time { frun -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.134s -user 0m6.445s -sys 0m20.314s - -CPU UTILIZATION: 23.597 / 28 - ------------------------------------------ - -(2): time { frun -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 382 assigned | 381 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 381 assigned | 383 processed | 2 I stole | 0 stolen from me -Node 2 (Phys 2): 382 assigned | 381 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 382 assigned | 382 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 2 chunks (0.1%) -================================================================= - -real 0m1.126s -user 0m6.409s -sys 0m20.582s - -CPU UTILIZATION: 23.970 / 28 - ------------------------------------------ - -(4): time { cat f1 | frun -X true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 385 assigned | 384 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 380 assigned | 380 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 381 assigned | 382 processed | 1 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (0.1%) -================================================================= - -0 -real 0m1.129s -user 0m6.427s -sys 0m20.523s - -CPU UTILIZATION: 23.870 / 28 - ------------------------------------------ - -(5): time { frun -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.196s -user 0m6.495s -sys 0m22.123s - -CPU UTILIZATION: 23.928 / 28 - ------------------------------------------ - -(6): time { frun -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 382 assigned | 383 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 383 assigned | 382 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 381 assigned | 382 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 381 assigned | 380 processed | 0 I stole | 1 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 2 chunks (0.1%) -================================================================= - -real 0m1.201s -user 0m6.473s -sys 0m22.346s - -CPU UTILIZATION: 23.995 / 28 - ------------------------------------------ - -(8): time { cat f1 | frun -X echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 383 assigned | 382 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 381 assigned | 382 processed | 1 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (0.1%) -================================================================= - -25555 -real 0m1.203s -user 0m6.586s -sys 0m22.348s - -CPU UTILIZATION: 24.051 / 28 - ------------------------------------------ - -(9): time { frun -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.898s -user 0m25.451s -sys 0m21.682s - -CPU UTILIZATION: 24.832 / 28 - ------------------------------------------ - -(10): time { frun -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 383 assigned | 382 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 379 assigned | 380 processed | 1 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (0.1%) -================================================================= - -real 0m1.896s -user 0m25.473s -sys 0m21.958s - -CPU UTILIZATION: 25.016 / 28 - ------------------------------------------ - -(12): time { cat f1 | frun -X printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 381 assigned | 382 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 383 assigned | 382 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 381 assigned | 381 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (0.1%) -================================================================= - -100000000 -real 0m1.901s -user 0m25.394s -sys 0m22.168s - -CPU UTILIZATION: 25.019 / 28 - ------------------------------------------ - -(13): time { frun -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.656s -user 0m1.637s -sys 0m13.801s - -CPU UTILIZATION: 23.533 / 28 - ------------------------------------------ - -(14): time { frun -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 386 assigned | 385 processed | 2 I stole | 3 stolen from me -Node 1 (Phys 1): 383 assigned | 380 processed | 1 I stole | 4 stolen from me -Node 2 (Phys 2): 379 assigned | 383 processed | 5 I stole | 1 stolen from me -Node 3 (Phys 3): 379 assigned | 379 processed | 1 I stole | 1 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 9 chunks (0.6%) -================================================================= - -real 0m0.707s -user 0m2.520s -sys 0m14.116s - -CPU UTILIZATION: 23.530 / 28 - ------------------------------------------ - -(16): time { cat f1 | frun -X -l 1:-1 true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 385 assigned | 381 processed | 0 I stole | 4 stolen from me -Node 1 (Phys 1): 380 assigned | 385 processed | 5 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 380 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 381 assigned | 381 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 5 chunks (0.3%) -================================================================= - -0 -real 0m0.708s -user 0m2.499s -sys 0m14.175s - -CPU UTILIZATION: 23.550 / 28 - ------------------------------------------ - -(17): time { frun -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.700s -user 0m2.375s -sys 0m14.124s - -CPU UTILIZATION: 23.570 / 28 - ------------------------------------------ - -(18): time { frun -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 383 assigned | 383 processed | 3 I stole | 3 stolen from me -Node 1 (Phys 1): 380 assigned | 382 processed | 5 I stole | 3 stolen from me -Node 2 (Phys 2): 383 assigned | 385 processed | 4 I stole | 2 stolen from me -Node 3 (Phys 3): 381 assigned | 377 processed | 4 I stole | 8 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 16 chunks (1.0%) -================================================================= - -real 0m0.747s -user 0m3.202s -sys 0m14.578s - -CPU UTILIZATION: 23.801 / 28 - ------------------------------------------ - -(20): time { cat f1 | frun -X -l 1:-1 echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 382 assigned | 383 processed | 8 I stole | 7 stolen from me -Node 1 (Phys 1): 379 assigned | 383 processed | 8 I stole | 4 stolen from me -Node 2 (Phys 2): 384 assigned | 379 processed | 3 I stole | 8 stolen from me -Node 3 (Phys 3): 382 assigned | 382 processed | 3 I stole | 3 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 22 chunks (1.4%) -================================================================= - -5965 -real 0m0.750s -user 0m3.318s -sys 0m14.538s - -CPU UTILIZATION: 23.808 / 28 - ------------------------------------------ - -(21): time { frun -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.406s -user 0m21.600s -sys 0m14.301s - -CPU UTILIZATION: 25.534 / 28 - ------------------------------------------ - -(22): time { frun -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 384 assigned | 384 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.456s -user 0m22.422s -sys 0m14.717s - -CPU UTILIZATION: 25.507 / 28 - ------------------------------------------ - -(24): time { cat f1 | frun -X -l 1:-1 printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 380 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 381 assigned | 382 processed | 1 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (0.1%) -================================================================= - -100000000 -real 0m1.456s -user 0m22.282s -sys 0m14.904s - -CPU UTILIZATION: 25.539 / 28 - ------------------------------------------ - -(25): time { frun -k -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.129s -user 0m6.352s -sys 0m20.363s - -CPU UTILIZATION: 23.662 / 28 - ------------------------------------------ - -(26): time { frun -k -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 384 assigned | 384 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.133s -user 0m6.463s -sys 0m20.488s - -CPU UTILIZATION: 23.787 / 28 - ------------------------------------------ - -(28): time { cat f1 | frun -k -X true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 382 assigned | 381 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 380 assigned | 381 processed | 1 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (0.1%) -================================================================= - -0 -real 0m1.132s -user 0m6.403s -sys 0m20.565s - -CPU UTILIZATION: 23.823 / 28 - ------------------------------------------ - -(29): time { frun -k -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.194s -user 0m6.394s -sys 0m22.155s - -CPU UTILIZATION: 23.910 / 28 - ------------------------------------------ - -(30): time { frun -k -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 383 assigned | 384 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 383 assigned | 382 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 381 assigned | 380 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 380 assigned | 381 processed | 1 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 2 chunks (0.1%) -================================================================= - -real 0m1.196s -user 0m6.571s -sys 0m22.146s - -CPU UTILIZATION: 24.010 / 28 - ------------------------------------------ - -(32): time { cat f1 | frun -k -X echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 384 assigned | 383 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 379 assigned | 380 processed | 1 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (0.1%) -================================================================= - -25555 -real 0m1.204s -user 0m6.641s -sys 0m22.266s - -CPU UTILIZATION: 24.009 / 28 - ------------------------------------------ - -(33): time { frun -k -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.887s -user 0m25.342s -sys 0m21.773s - -CPU UTILIZATION: 24.968 / 28 - ------------------------------------------ - -(34): time { frun -k -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 380 assigned | 380 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 381 assigned | 381 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.894s -user 0m25.543s -sys 0m21.868s - -CPU UTILIZATION: 25.032 / 28 - ------------------------------------------ - -(36): time { cat f1 | frun -k -X printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 384 assigned | 383 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 380 assigned | 381 processed | 1 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (0.1%) -================================================================= - -100000000 -real 0m1.898s -user 0m25.491s -sys 0m22.015s - -CPU UTILIZATION: 25.029 / 28 - ------------------------------------------ - -(37): time { frun -k -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.677s -user 0m1.544s -sys 0m13.796s - -CPU UTILIZATION: 22.658 / 28 - ------------------------------------------ - -(38): time { frun -k -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 386 assigned | 384 processed | 1 I stole | 3 stolen from me -Node 1 (Phys 1): 380 assigned | 382 processed | 3 I stole | 1 stolen from me -Node 2 (Phys 2): 379 assigned | 381 processed | 4 I stole | 2 stolen from me -Node 3 (Phys 3): 382 assigned | 380 processed | 1 I stole | 3 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 9 chunks (0.6%) -================================================================= - -real 0m0.709s -user 0m2.495s -sys 0m14.150s - -CPU UTILIZATION: 23.476 / 28 - ------------------------------------------ - -(40): time { cat f1 | frun -k -X -l 1:-1 true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 383 assigned | 383 processed | 4 I stole | 4 stolen from me -Node 1 (Phys 1): 378 assigned | 380 processed | 3 I stole | 1 stolen from me -Node 2 (Phys 2): 385 assigned | 382 processed | 0 I stole | 3 stolen from me -Node 3 (Phys 3): 381 assigned | 382 processed | 3 I stole | 2 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 10 chunks (0.7%) -================================================================= - -0 -real 0m0.705s -user 0m2.522s -sys 0m14.121s - -CPU UTILIZATION: 23.607 / 28 - ------------------------------------------ - -(41): time { frun -k -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.702s -user 0m2.373s -sys 0m14.093s - -CPU UTILIZATION: 23.455 / 28 - ------------------------------------------ - -(42): time { frun -k -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 384 assigned | 387 processed | 5 I stole | 2 stolen from me -Node 1 (Phys 1): 376 assigned | 377 processed | 5 I stole | 4 stolen from me -Node 2 (Phys 2): 383 assigned | 382 processed | 3 I stole | 4 stolen from me -Node 3 (Phys 3): 384 assigned | 381 processed | 1 I stole | 4 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 14 chunks (0.9%) -================================================================= - -real 0m0.753s -user 0m3.282s -sys 0m14.486s - -CPU UTILIZATION: 23.596 / 28 - ------------------------------------------ - -(44): time { cat f1 | frun -k -X -l 1:-1 echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 383 assigned | 384 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 382 assigned | 383 processed | 2 I stole | 1 stolen from me -Node 2 (Phys 2): 382 assigned | 380 processed | 1 I stole | 3 stolen from me -Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 4 chunks (0.3%) -================================================================= - -5965 -real 0m0.751s -user 0m3.291s -sys 0m14.497s - -CPU UTILIZATION: 23.685 / 28 - ------------------------------------------ - -(45): time { frun -k -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 11 assigned | 11 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.435s -user 0m21.302s -sys 0m14.177s - -CPU UTILIZATION: 24.724 / 28 - ------------------------------------------ - -(46): time { frun -k -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 383 assigned | 382 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 383 assigned | 382 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 382 assigned | 383 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 379 assigned | 380 processed | 1 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 2 chunks (0.1%) -================================================================= - -real 0m1.456s -user 0m22.315s -sys 0m14.753s - -CPU UTILIZATION: 25.458 / 28 - ------------------------------------------ - -(48): time { cat f1 | frun -k -X -l 1:-1 printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 381 assigned | 382 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 383 assigned | 382 processed | 0 I stole | 1 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (0.1%) -================================================================= - -100000000 -real 0m1.457s -user 0m22.357s -sys 0m14.804s - -CPU UTILIZATION: 25.505 / 28 - ------------------------------------------ - -(49): time { frun -u -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.105s -user 0m6.067s -sys 0m19.929s - -CPU UTILIZATION: 23.525 / 28 - ------------------------------------------ - -(50): time { frun -u -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 383 assigned | 384 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 383 assigned | 382 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (0.1%) -================================================================= - -real 0m1.103s -user 0m6.098s -sys 0m20.149s - -CPU UTILIZATION: 23.796 / 28 - ------------------------------------------ - -(52): time { cat f1 | frun -u -X true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 386 assigned | 385 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 382 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 379 assigned | 379 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (0.1%) -================================================================= - -0 -real 0m1.103s -user 0m6.053s -sys 0m20.175s - -CPU UTILIZATION: 23.778 / 28 - ------------------------------------------ - -(53): time { frun -u -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.161s -user 0m6.052s -sys 0m21.574s - -CPU UTILIZATION: 23.795 / 28 - ------------------------------------------ - -(54): time { frun -u -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 383 assigned | 382 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 384 assigned | 384 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 380 assigned | 381 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (0.1%) -================================================================= - -real 0m1.164s -user 0m6.302s -sys 0m21.533s - -CPU UTILIZATION: 23.913 / 28 - ------------------------------------------ - -(56): time { cat f1 | frun -u -X echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 381 assigned | 381 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -25555 -real 0m1.167s -user 0m6.260s -sys 0m21.745s - -CPU UTILIZATION: 23.997 / 28 - ------------------------------------------ - -(57): time { frun -u -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.850s -user 0m24.900s -sys 0m21.340s - -CPU UTILIZATION: 24.994 / 28 - ------------------------------------------ - -(58): time { frun -u -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 380 assigned | 380 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 381 assigned | 381 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.853s -user 0m25.018s -sys 0m21.483s - -CPU UTILIZATION: 25.094 / 28 - ------------------------------------------ - -(60): time { cat f1 | frun -u -X printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 384 assigned | 384 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 380 assigned | 380 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 382 assigned | 382 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -100000000 -real 0m1.866s -user 0m24.969s -sys 0m21.720s - -CPU UTILIZATION: 25.020 / 28 - ------------------------------------------ - -(61): time { frun -u -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.661s -user 0m1.470s -sys 0m13.769s - -CPU UTILIZATION: 23.054 / 28 - ------------------------------------------ - -(62): time { frun -u -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 384 assigned | 385 processed | 3 I stole | 2 stolen from me -Node 1 (Phys 1): 383 assigned | 385 processed | 3 I stole | 1 stolen from me -Node 2 (Phys 2): 381 assigned | 379 processed | 1 I stole | 3 stolen from me -Node 3 (Phys 3): 379 assigned | 378 processed | 2 I stole | 3 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 9 chunks (0.6%) -================================================================= - -real 0m0.700s -user 0m2.381s -sys 0m14.027s - -CPU UTILIZATION: 23.440 / 28 - ------------------------------------------ - -(64): time { cat f1 | frun -u -X -l 1:-1 true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 387 assigned | 384 processed | 2 I stole | 5 stolen from me -Node 1 (Phys 1): 381 assigned | 384 processed | 6 I stole | 3 stolen from me -Node 2 (Phys 2): 381 assigned | 380 processed | 3 I stole | 4 stolen from me -Node 3 (Phys 3): 378 assigned | 379 processed | 5 I stole | 4 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 16 chunks (1.0%) -================================================================= - -0 -real 0m0.703s -user 0m2.452s -sys 0m14.066s - -CPU UTILIZATION: 23.496 / 28 - ------------------------------------------ - -(65): time { frun -u -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.691s -user 0m2.342s -sys 0m13.921s - -CPU UTILIZATION: 23.535 / 28 - ------------------------------------------ - -(66): time { frun -u -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 383 assigned | 383 processed | 2 I stole | 2 stolen from me -Node 1 (Phys 1): 383 assigned | 381 processed | 0 I stole | 2 stolen from me -Node 2 (Phys 2): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 379 assigned | 381 processed | 2 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 4 chunks (0.3%) -================================================================= - -real 0m0.737s -user 0m3.167s -sys 0m14.312s - -CPU UTILIZATION: 23.716 / 28 - ------------------------------------------ - -(68): time { cat f1 | frun -u -X -l 1:-1 echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 382 assigned | 380 processed | 0 I stole | 2 stolen from me -Node 1 (Phys 1): 383 assigned | 382 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 382 assigned | 386 processed | 4 I stole | 0 stolen from me -Node 3 (Phys 3): 380 assigned | 379 processed | 0 I stole | 1 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 4 chunks (0.3%) -================================================================= - -5965 -real 0m0.755s -user 0m3.070s -sys 0m14.351s - -CPU UTILIZATION: 23.074 / 28 - ------------------------------------------ - -(69): time { frun -u -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 11 assigned | 11 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.423s -user 0m21.123s -sys 0m14.012s - -CPU UTILIZATION: 24.690 / 28 - ------------------------------------------ - -(70): time { frun -u -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.445s -user 0m22.222s -sys 0m14.580s - -CPU UTILIZATION: 25.468 / 28 - ------------------------------------------ - -(72): time { cat f1 | frun -u -X -l 1:-1 printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 384 assigned | 384 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 381 assigned | 381 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -100000000 -real 0m1.465s -user 0m21.807s -sys 0m14.746s - -CPU UTILIZATION: 24.950 / 28 - ------------------------------------------ - -(73): time { frun -U -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.365s -user 0m34.841s -sys 0m0.713s - -CPU UTILIZATION: 26.046 / 28 - ------------------------------------------ - -(74): time { frun -U -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 385 assigned | 385 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 384 assigned | 384 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 388 assigned | 388 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 370 assigned | 370 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.356s -user 0m34.674s -sys 0m0.864s - -CPU UTILIZATION: 26.207 / 28 - ------------------------------------------ - -(76): time { cat f1 | frun -U -X true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 364 assigned | 364 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 391 assigned | 391 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 384 assigned | 384 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 388 assigned | 388 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -0 -real 0m1.365s -user 0m34.826s -sys 0m0.859s - -CPU UTILIZATION: 26.142 / 28 - ------------------------------------------ - -(77): time { frun -U -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.363s -user 0m34.704s -sys 0m0.765s - -CPU UTILIZATION: 26.022 / 28 - ------------------------------------------ - -(78): time { frun -U -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 388 assigned | 388 processed | 1 I stole | 1 stolen from me -Node 1 (Phys 1): 371 assigned | 370 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 385 assigned | 385 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 383 assigned | 384 processed | 1 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 2 chunks (0.1%) -================================================================= - -real 0m1.364s -user 0m34.919s -sys 0m0.873s - -CPU UTILIZATION: 26.240 / 28 - ------------------------------------------ - -(80): time { cat f1 | frun -U -X echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 386 assigned | 388 processed | 2 I stole | 0 stolen from me -Node 1 (Phys 1): 390 assigned | 388 processed | 0 I stole | 2 stolen from me -Node 2 (Phys 2): 386 assigned | 386 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 365 assigned | 365 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 2 chunks (0.1%) -================================================================= - -25555 -real 0m1.366s -user 0m34.880s -sys 0m0.996s - -CPU UTILIZATION: 26.263 / 28 - ------------------------------------------ - -(81): time { frun -U -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.368s -user 0m34.874s -sys 0m0.756s - -CPU UTILIZATION: 26.045 / 28 - ------------------------------------------ - -(82): time { frun -U -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 389 assigned | 389 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 386 assigned | 386 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 370 assigned | 370 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.370s -user 0m34.974s -sys 0m0.928s - -CPU UTILIZATION: 26.205 / 28 - ------------------------------------------ - -(84): time { cat f1 | frun -U -X printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 378 assigned | 378 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 389 assigned | 389 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 385 assigned | 385 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 375 assigned | 375 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -25555 -real 0m1.372s -user 0m35.051s -sys 0m0.920s - -CPU UTILIZATION: 26.217 / 28 - ------------------------------------------ - -(85): time { frun -U -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.614s -user 0m41.647s -sys 0m0.498s - -CPU UTILIZATION: 26.112 / 28 - ------------------------------------------ - -(86): time { frun -U -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 392 assigned | 392 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 371 assigned | 371 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 390 assigned | 390 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 374 assigned | 374 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.709s -user 0m44.315s -sys 0m0.766s - -CPU UTILIZATION: 26.378 / 28 - ------------------------------------------ - -(88): time { cat f1 | frun -U -X -l 1:-1 true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 392 assigned | 393 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 378 assigned | 377 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 363 assigned | 362 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 394 assigned | 395 processed | 1 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 2 chunks (0.1%) -================================================================= - -0 -real 0m1.701s -user 0m44.044s -sys 0m0.731s - -CPU UTILIZATION: 26.322 / 28 - ------------------------------------------ - -(89): time { frun -U -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.617s -user 0m41.813s -sys 0m0.484s - -CPU UTILIZATION: 26.157 / 28 - ------------------------------------------ - -(90): time { frun -U -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 391 assigned | 392 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 378 assigned | 377 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 379 assigned | 380 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 379 assigned | 378 processed | 0 I stole | 1 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 2 chunks (0.1%) -================================================================= - -real 0m1.712s -user 0m44.157s -sys 0m0.783s - -CPU UTILIZATION: 26.250 / 28 - ------------------------------------------ - -(92): time { cat f1 | frun -U -X -l 1:-1 echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 378 assigned | 378 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 398 assigned | 398 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 388 assigned | 388 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 363 assigned | 363 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -5965 -real 0m1.706s -user 0m44.053s -sys 0m0.801s - -CPU UTILIZATION: 26.291 / 28 - ------------------------------------------ - -(93): time { frun -U -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.620s -user 0m41.592s -sys 0m0.509s - -CPU UTILIZATION: 25.988 / 28 - ------------------------------------------ - -(94): time { frun -U -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 372 assigned | 374 processed | 2 I stole | 0 stolen from me -Node 1 (Phys 1): 394 assigned | 393 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 389 assigned | 388 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 372 assigned | 372 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 2 chunks (0.1%) -================================================================= - -real 0m1.709s -user 0m44.213s -sys 0m0.764s - -CPU UTILIZATION: 26.317 / 28 - ------------------------------------------ - -(96): time { cat f1 | frun -U -X -l 1:-1 printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 387 assigned | 387 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 391 assigned | 391 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 368 assigned | 368 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -5965 -real 0m1.705s -user 0m44.102s -sys 0m0.753s - -CPU UTILIZATION: 26.307 / 28 - ------------------------------------------ - -(97): time { frun -s : /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 11 assigned | 11 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.169s -user 0m1.769s -sys 0m0.781s - -CPU UTILIZATION: 15.088 / 28 - ------------------------------------------ - -(98): time { frun -s : /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 385 assigned | 404 processed | 40 I stole | 21 stolen from me -Node 1 (Phys 1): 412 assigned | 407 processed | 26 I stole | 31 stolen from me -Node 2 (Phys 2): 366 assigned | 358 processed | 21 I stole | 29 stolen from me -Node 3 (Phys 3): 364 assigned | 358 processed | 18 I stole | 24 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 105 chunks (6.9%) -================================================================= - -real 0m0.183s -user 0m1.868s -sys 0m0.898s - -CPU UTILIZATION: 15.114 / 28 - ------------------------------------------ - -(100): time { cat f1 | frun -s : | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 430 assigned | 442 processed | 43 I stole | 31 stolen from me -Node 1 (Phys 1): 364 assigned | 383 processed | 46 I stole | 27 stolen from me -Node 2 (Phys 2): 350 assigned | 316 processed | 9 I stole | 43 stolen from me -Node 3 (Phys 3): 383 assigned | 386 processed | 37 I stole | 34 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 135 chunks (8.8%) -================================================================= - -0 -real 0m0.183s -user 0m1.883s -sys 0m0.849s - -CPU UTILIZATION: 14.928 / 28 - ------------------------------------------ - -(101): time { frun -s cat /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.744s -user 0m9.160s -sys 0m7.441s - -CPU UTILIZATION: 22.313 / 28 - ------------------------------------------ - -(102): time { frun -s cat /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 385 assigned | 385 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 379 assigned | 379 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.751s -user 0m9.264s -sys 0m7.528s - -CPU UTILIZATION: 22.359 / 28 - ------------------------------------------ - -(104): time { cat f1 | frun -s cat | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 385 assigned | 385 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 380 assigned | 380 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 383 assigned | 384 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 379 assigned | 378 processed | 0 I stole | 1 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (0.1%) -================================================================= - -100000000 -real 0m0.748s -user 0m9.217s -sys 0m7.691s - -CPU UTILIZATION: 22.604 / 28 - ------------------------------------------ - -(105): time { frun -s tee /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.730s -user 0m9.064s -sys 0m7.233s - -CPU UTILIZATION: 22.324 / 28 - ------------------------------------------ - -(106): time { frun -s tee /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 383 assigned | 383 processed | 1 I stole | 1 stolen from me -Node 1 (Phys 1): 384 assigned | 384 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 382 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 379 assigned | 378 processed | 1 I stole | 2 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 3 chunks (0.2%) -================================================================= - -real 0m0.731s -user 0m9.166s -sys 0m7.323s - -CPU UTILIZATION: 22.556 / 28 - ------------------------------------------ - -(108): time { cat f1 | frun -s tee | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 381 assigned | 382 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 385 assigned | 386 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 381 assigned | 380 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 380 assigned | 379 processed | 0 I stole | 1 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 2 chunks (0.1%) -================================================================= - -100000000 -real 0m0.742s -user 0m9.215s -sys 0m7.348s - -CPU UTILIZATION: 22.322 / 28 - ------------------------------------------ - -(109): time { frun -b 524288 : /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 12 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 13 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (2.0%) -================================================================= - -real 0m0.113s -user 0m0.047s -sys 0m0.143s - -CPU UTILIZATION: 1.681 / 28 - ------------------------------------------ - -(110): time { frun -b 524288 : /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 390 assigned | 396 processed | 6 I stole | 0 stolen from me -Node 1 (Phys 1): 385 assigned | 384 processed | 2 I stole | 3 stolen from me -Node 2 (Phys 2): 379 assigned | 377 processed | 0 I stole | 2 stolen from me -Node 3 (Phys 3): 373 assigned | 370 processed | 0 I stole | 3 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 8 chunks (0.5%) -================================================================= - -real 0m0.125s -user 0m0.229s -sys 0m0.242s - -CPU UTILIZATION: 3.768 / 28 - ------------------------------------------ - -(112): time { cat f1 | frun -b 524288 : | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 389 assigned | 405 processed | 16 I stole | 0 stolen from me -Node 1 (Phys 1): 382 assigned | 377 processed | 3 I stole | 8 stolen from me -Node 2 (Phys 2): 379 assigned | 372 processed | 0 I stole | 7 stolen from me -Node 3 (Phys 3): 377 assigned | 373 processed | 0 I stole | 4 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 19 chunks (1.2%) -================================================================= - -0 -real 0m0.123s -user 0m0.231s -sys 0m0.253s - -CPU UTILIZATION: 3.934 / 28 - ------------------------------------------ - -(113): time { frun -b 524288 cat /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.113s -user 0m0.089s -sys 0m0.216s - -CPU UTILIZATION: 2.699 / 28 - ------------------------------------------ - -(114): time { frun -b 524288 cat /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 387 assigned | 385 processed | 3 I stole | 5 stolen from me -Node 1 (Phys 1): 377 assigned | 381 processed | 5 I stole | 1 stolen from me -Node 2 (Phys 2): 378 assigned | 377 processed | 2 I stole | 3 stolen from me -Node 3 (Phys 3): 385 assigned | 384 processed | 2 I stole | 3 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 12 chunks (0.8%) -================================================================= - -real 0m0.150s -user 0m0.578s -sys 0m0.558s - -CPU UTILIZATION: 7.573 / 28 - ------------------------------------------ - -(116): time { cat f1 | frun -b 524288 cat | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 383 assigned | 383 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 379 assigned | 379 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 384 assigned | 384 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 381 assigned | 381 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -100000000 -real 0m0.146s -user 0m0.570s -sys 0m0.617s - -CPU UTILIZATION: 8.130 / 28 - ------------------------------------------ - -(117): time { frun -b 524288 tee /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.106s -user 0m0.114s -sys 0m0.215s - -CPU UTILIZATION: 3.103 / 28 - ------------------------------------------ - -(118): time { frun -b 524288 tee /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 386 assigned | 387 processed | 2 I stole | 1 stolen from me -Node 1 (Phys 1): 381 assigned | 383 processed | 3 I stole | 1 stolen from me -Node 2 (Phys 2): 378 assigned | 376 processed | 1 I stole | 3 stolen from me -Node 3 (Phys 3): 382 assigned | 381 processed | 1 I stole | 2 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 7 chunks (0.5%) -================================================================= - -real 0m0.144s -user 0m0.569s -sys 0m0.529s - -CPU UTILIZATION: 7.625 / 28 - ------------------------------------------ - -(120): time { cat f1 | frun -b 524288 tee | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 391 assigned | 389 processed | 2 I stole | 4 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 2 I stole | 2 stolen from me -Node 2 (Phys 2): 378 assigned | 379 processed | 2 I stole | 1 stolen from me -Node 3 (Phys 3): 376 assigned | 377 processed | 1 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 7 chunks (0.5%) -================================================================= - -100000000 -real 0m0.147s -user 0m0.545s -sys 0m0.616s - -CPU UTILIZATION: 7.897 / 28 - ------------------------------------------ - -(121): time { frun -b4096 -s : /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.169s -user 0m1.652s -sys 0m0.728s - -CPU UTILIZATION: 14.082 / 28 - ------------------------------------------ - -(122): time { frun -b4096 -s : /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 351 assigned | 344 processed | 16 I stole | 23 stolen from me -Node 1 (Phys 1): 400 assigned | 402 processed | 14 I stole | 12 stolen from me -Node 2 (Phys 2): 398 assigned | 397 processed | 17 I stole | 18 stolen from me -Node 3 (Phys 3): 378 assigned | 384 processed | 18 I stole | 12 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 65 chunks (4.3%) -================================================================= - -real 0m0.182s -user 0m1.755s -sys 0m0.844s - -CPU UTILIZATION: 14.280 / 28 - ------------------------------------------ - -(124): time { cat f1 | frun -b4096 -s : | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 391 assigned | 384 processed | 24 I stole | 31 stolen from me -Node 1 (Phys 1): 369 assigned | 363 processed | 19 I stole | 25 stolen from me -Node 2 (Phys 2): 403 assigned | 426 processed | 34 I stole | 11 stolen from me -Node 3 (Phys 3): 364 assigned | 354 processed | 21 I stole | 31 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 98 chunks (6.4%) -================================================================= - -0 -real 0m0.183s -user 0m1.716s -sys 0m0.831s - -CPU UTILIZATION: 13.918 / 28 - ------------------------------------------ - -(125): time { frun -b4096 -s cat /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.713s -user 0m8.700s -sys 0m7.041s - -CPU UTILIZATION: 22.077 / 28 - ------------------------------------------ - -(126): time { frun -b4096 -s cat /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 381 assigned | 381 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 384 assigned | 384 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 382 assigned | 382 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 380 assigned | 380 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.713s -user 0m8.700s -sys 0m7.238s - -CPU UTILIZATION: 22.353 / 28 - ------------------------------------------ - -(128): time { cat f1 | frun -b4096 -s cat | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 385 assigned | 385 processed | 2 I stole | 2 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 1 I stole | 1 stolen from me -Node 2 (Phys 2): 381 assigned | 381 processed | 1 I stole | 1 stolen from me -Node 3 (Phys 3): 379 assigned | 379 processed | 1 I stole | 1 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 5 chunks (0.3%) -================================================================= - -100000000 -real 0m0.718s -user 0m8.840s -sys 0m7.225s - -CPU UTILIZATION: 22.374 / 28 - ------------------------------------------ - -(129): time { frun -b4096 -s tee /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 13 assigned | 13 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 12 assigned | 12 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 12 assigned | 12 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.705s -user 0m8.677s -sys 0m6.838s - -CPU UTILIZATION: 22.007 / 28 - ------------------------------------------ - -(130): time { frun -b4096 -s tee /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 387 assigned | 386 processed | 1 I stole | 2 stolen from me -Node 1 (Phys 1): 385 assigned | 384 processed | 1 I stole | 2 stolen from me -Node 2 (Phys 2): 380 assigned | 381 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 375 assigned | 376 processed | 2 I stole | 1 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 5 chunks (0.3%) -================================================================= - -real 0m0.704s -user 0m8.683s -sys 0m6.978s - -CPU UTILIZATION: 22.245 / 28 - ------------------------------------------ - -(132): time { cat f1 | frun -b4096 -s tee | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 384 assigned | 384 processed | 1 I stole | 1 stolen from me -Node 1 (Phys 1): 382 assigned | 382 processed | 1 I stole | 1 stolen from me -Node 2 (Phys 2): 380 assigned | 381 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 381 assigned | 380 processed | 0 I stole | 1 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 3 chunks (0.2%) -================================================================= - -100000000 -real 0m0.712s -user 0m8.859s -sys 0m6.941s - -CPU UTILIZATION: 22.191 / 28 - ------------------------------------------ - -(133): time { frun -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.199s -user 0m6.054s -sys 0m22.775s - -CPU UTILIZATION: 24.044 / 28 - ------------------------------------------ - -(134): time { frun -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3489 assigned | 3493 processed | 175 I stole | 171 stolen from me -Node 1 (Phys 1): 3469 assigned | 3460 processed | 163 I stole | 172 stolen from me -Node 2 (Phys 2): 3194 assigned | 3169 processed | 160 I stole | 185 stolen from me -Node 3 (Phys 3): 3413 assigned | 3443 processed | 171 I stole | 141 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 669 chunks (4.9%) -================================================================= - -real 0m1.535s -user 0m9.188s -sys 0m23.504s - -CPU UTILIZATION: 21.297 / 28 - ------------------------------------------ - -(136): time { cat f2 | frun -X true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3442 assigned | 3455 processed | 176 I stole | 163 stolen from me -Node 1 (Phys 1): 3389 assigned | 3385 processed | 184 I stole | 188 stolen from me -Node 2 (Phys 2): 3319 assigned | 3291 processed | 169 I stole | 197 stolen from me -Node 3 (Phys 3): 3415 assigned | 3434 processed | 178 I stole | 159 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 707 chunks (5.2%) -================================================================= - -0 -real 0m1.355s -user 0m9.134s -sys 0m23.451s - -CPU UTILIZATION: 24.047 / 28 - ------------------------------------------ - -(137): time { frun -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.323s -user 0m7.165s -sys 0m24.951s - -CPU UTILIZATION: 24.275 / 28 - ------------------------------------------ - -(138): time { frun -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3406 assigned | 3386 processed | 182 I stole | 202 stolen from me -Node 1 (Phys 1): 3405 assigned | 3412 processed | 180 I stole | 173 stolen from me -Node 2 (Phys 2): 3383 assigned | 3376 processed | 169 I stole | 176 stolen from me -Node 3 (Phys 3): 3371 assigned | 3391 processed | 183 I stole | 163 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 714 chunks (5.3%) -================================================================= - -real 0m1.454s -user 0m10.015s -sys 0m25.747s - -CPU UTILIZATION: 24.595 / 28 - ------------------------------------------ - -(140): time { cat f2 | frun -X echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3405 assigned | 3382 processed | 198 I stole | 221 stolen from me -Node 1 (Phys 1): 3391 assigned | 3393 processed | 196 I stole | 194 stolen from me -Node 2 (Phys 2): 3406 assigned | 3409 processed | 202 I stole | 199 stolen from me -Node 3 (Phys 3): 3363 assigned | 3381 processed | 191 I stole | 173 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 787 chunks (5.8%) -================================================================= - -28349 -real 0m1.467s -user 0m9.845s -sys 0m26.382s - -CPU UTILIZATION: 24.694 / 28 - ------------------------------------------ - -(141): time { frun -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m2.077s -user 0m27.677s -sys 0m24.677s - -CPU UTILIZATION: 25.206 / 28 - ------------------------------------------ - -(142): time { frun -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3417 assigned | 3403 processed | 150 I stole | 164 stolen from me -Node 1 (Phys 1): 3389 assigned | 3383 processed | 144 I stole | 150 stolen from me -Node 2 (Phys 2): 3392 assigned | 3395 processed | 149 I stole | 146 stolen from me -Node 3 (Phys 3): 3367 assigned | 3384 processed | 152 I stole | 135 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 595 chunks (4.4%) -================================================================= - -real 0m2.191s -user 0m29.752s -sys 0m25.951s - -CPU UTILIZATION: 25.423 / 28 - ------------------------------------------ - -(144): time { cat f2 | frun -X printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3406 assigned | 3385 processed | 164 I stole | 185 stolen from me -Node 1 (Phys 1): 3395 assigned | 3398 processed | 186 I stole | 183 stolen from me -Node 2 (Phys 2): 3406 assigned | 3397 processed | 156 I stole | 165 stolen from me -Node 3 (Phys 3): 3358 assigned | 3385 processed | 173 I stole | 146 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 679 chunks (5.0%) -================================================================= - -100000000 -real 0m2.207s -user 0m29.897s -sys 0m26.244s - -CPU UTILIZATION: 25.437 / 28 - ------------------------------------------ - -(145): time { frun -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 105 assigned | 105 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.735s -user 0m1.851s -sys 0m15.645s - -CPU UTILIZATION: 23.804 / 28 - ------------------------------------------ - -(146): time { frun -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3445 assigned | 3449 processed | 212 I stole | 208 stolen from me -Node 1 (Phys 1): 3409 assigned | 3375 processed | 175 I stole | 209 stolen from me -Node 2 (Phys 2): 3431 assigned | 3436 processed | 203 I stole | 198 stolen from me -Node 3 (Phys 3): 3280 assigned | 3305 processed | 192 I stole | 167 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 782 chunks (5.8%) -================================================================= - -real 0m1.076s -user 0m4.813s -sys 0m20.165s - -CPU UTILIZATION: 23.213 / 28 - ------------------------------------------ - -(148): time { cat f2 | frun -X -l 1:-1 true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3479 assigned | 3444 processed | 219 I stole | 254 stolen from me -Node 1 (Phys 1): 3279 assigned | 3204 processed | 186 I stole | 261 stolen from me -Node 2 (Phys 2): 3374 assigned | 3421 processed | 241 I stole | 194 stolen from me -Node 3 (Phys 3): 3433 assigned | 3496 processed | 227 I stole | 164 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 873 chunks (6.4%) -================================================================= - -0 -real 0m1.204s -user 0m4.750s -sys 0m20.408s - -CPU UTILIZATION: 20.895 / 28 - ------------------------------------------ - -(149): time { frun -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.832s -user 0m3.403s -sys 0m16.524s - -CPU UTILIZATION: 23.950 / 28 - ------------------------------------------ - -(150): time { frun -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3348 assigned | 3275 processed | 228 I stole | 301 stolen from me -Node 1 (Phys 1): 3478 assigned | 3454 processed | 252 I stole | 276 stolen from me -Node 2 (Phys 2): 3360 assigned | 3406 processed | 267 I stole | 221 stolen from me -Node 3 (Phys 3): 3379 assigned | 3430 processed | 272 I stole | 221 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1019 chunks (7.5%) -================================================================= - -real 0m1.214s -user 0m6.227s -sys 0m21.945s - -CPU UTILIZATION: 23.205 / 28 - ------------------------------------------ - -(152): time { cat f2 | frun -X -l 1:-1 echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3374 assigned | 3369 processed | 246 I stole | 251 stolen from me -Node 1 (Phys 1): 3391 assigned | 3364 processed | 243 I stole | 270 stolen from me -Node 2 (Phys 2): 3425 assigned | 3390 processed | 209 I stole | 244 stolen from me -Node 3 (Phys 3): 3375 assigned | 3442 processed | 270 I stole | 203 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 968 chunks (7.1%) -================================================================= - -14835 -real 0m1.196s -user 0m6.247s -sys 0m22.064s - -CPU UTILIZATION: 23.671 / 28 - ------------------------------------------ - -(153): time { frun -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.597s -user 0m24.226s -sys 0m16.756s - -CPU UTILIZATION: 25.661 / 28 - ------------------------------------------ - -(154): time { frun -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3383 assigned | 3393 processed | 320 I stole | 310 stolen from me -Node 1 (Phys 1): 3384 assigned | 3374 processed | 322 I stole | 332 stolen from me -Node 2 (Phys 2): 3388 assigned | 3407 processed | 318 I stole | 299 stolen from me -Node 3 (Phys 3): 3410 assigned | 3391 processed | 277 I stole | 296 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1237 chunks (9.1%) -================================================================= - -real 0m1.891s -user 0m27.197s -sys 0m20.964s - -CPU UTILIZATION: 25.468 / 28 - ------------------------------------------ - -(156): time { cat f2 | frun -X -l 1:-1 printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3436 assigned | 3399 processed | 309 I stole | 346 stolen from me -Node 1 (Phys 1): 3392 assigned | 3392 processed | 294 I stole | 294 stolen from me -Node 2 (Phys 2): 3388 assigned | 3399 processed | 289 I stole | 278 stolen from me -Node 3 (Phys 3): 3349 assigned | 3375 processed | 284 I stole | 258 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1176 chunks (8.7%) -================================================================= - -100000000 -real 0m1.899s -user 0m27.420s -sys 0m21.260s - -CPU UTILIZATION: 25.634 / 28 - ------------------------------------------ - -(157): time { frun -k -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.198s -user 0m6.056s -sys 0m22.765s - -CPU UTILIZATION: 24.057 / 28 - ------------------------------------------ - -(158): time { frun -k -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3436 assigned | 3440 processed | 162 I stole | 158 stolen from me -Node 1 (Phys 1): 3439 assigned | 3414 processed | 165 I stole | 190 stolen from me -Node 2 (Phys 2): 3305 assigned | 3338 processed | 156 I stole | 123 stolen from me -Node 3 (Phys 3): 3385 assigned | 3373 processed | 157 I stole | 169 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 640 chunks (4.7%) -================================================================= - -real 0m1.342s -user 0m9.091s -sys 0m23.429s - -CPU UTILIZATION: 24.232 / 28 - ------------------------------------------ - -(160): time { cat f2 | frun -k -X true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3429 assigned | 3423 processed | 159 I stole | 165 stolen from me -Node 1 (Phys 1): 3376 assigned | 3328 processed | 144 I stole | 192 stolen from me -Node 2 (Phys 2): 3351 assigned | 3396 processed | 183 I stole | 138 stolen from me -Node 3 (Phys 3): 3409 assigned | 3418 processed | 168 I stole | 159 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 654 chunks (4.8%) -================================================================= - -0 -real 0m1.337s -user 0m9.156s -sys 0m23.398s - -CPU UTILIZATION: 24.348 / 28 - ------------------------------------------ - -(161): time { frun -k -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.317s -user 0m7.246s -sys 0m24.863s - -CPU UTILIZATION: 24.380 / 28 - ------------------------------------------ - -(162): time { frun -k -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3462 assigned | 3476 processed | 191 I stole | 177 stolen from me -Node 1 (Phys 1): 3465 assigned | 3444 processed | 167 I stole | 188 stolen from me -Node 2 (Phys 2): 3425 assigned | 3445 processed | 180 I stole | 160 stolen from me -Node 3 (Phys 3): 3213 assigned | 3200 processed | 161 I stole | 174 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 699 chunks (5.2%) -================================================================= - -real 0m1.665s -user 0m9.770s -sys 0m26.100s - -CPU UTILIZATION: 21.543 / 28 - ------------------------------------------ - -(164): time { cat f2 | frun -k -X echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3436 assigned | 3403 processed | 190 I stole | 223 stolen from me -Node 1 (Phys 1): 3397 assigned | 3374 processed | 188 I stole | 211 stolen from me -Node 2 (Phys 2): 3387 assigned | 3414 processed | 206 I stole | 179 stolen from me -Node 3 (Phys 3): 3345 assigned | 3374 processed | 212 I stole | 183 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 796 chunks (5.9%) -================================================================= - -28349 -real 0m1.474s -user 0m9.711s -sys 0m26.474s - -CPU UTILIZATION: 24.548 / 28 - ------------------------------------------ - -(165): time { frun -k -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m2.075s -user 0m27.668s -sys 0m24.709s - -CPU UTILIZATION: 25.241 / 28 - ------------------------------------------ - -(166): time { frun -k -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3413 assigned | 3400 processed | 175 I stole | 188 stolen from me -Node 1 (Phys 1): 3377 assigned | 3386 processed | 166 I stole | 157 stolen from me -Node 2 (Phys 2): 3415 assigned | 3391 processed | 171 I stole | 195 stolen from me -Node 3 (Phys 3): 3360 assigned | 3388 processed | 156 I stole | 128 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 668 chunks (4.9%) -================================================================= - -real 0m2.191s -user 0m29.738s -sys 0m25.986s - -CPU UTILIZATION: 25.433 / 28 - ------------------------------------------ - -(168): time { cat f2 | frun -k -X printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3386 assigned | 3384 processed | 171 I stole | 173 stolen from me -Node 1 (Phys 1): 3415 assigned | 3408 processed | 165 I stole | 172 stolen from me -Node 2 (Phys 2): 3414 assigned | 3391 processed | 148 I stole | 171 stolen from me -Node 3 (Phys 3): 3350 assigned | 3382 processed | 169 I stole | 137 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 653 chunks (4.8%) -================================================================= - -100000000 -real 0m2.201s -user 0m29.730s -sys 0m26.432s - -CPU UTILIZATION: 25.516 / 28 - ------------------------------------------ - -(169): time { frun -k -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 108 assigned | 108 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 104 assigned | 104 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.737s -user 0m1.909s -sys 0m15.560s - -CPU UTILIZATION: 23.702 / 28 - ------------------------------------------ - -(170): time { frun -k -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3389 assigned | 3375 processed | 216 I stole | 230 stolen from me -Node 1 (Phys 1): 3384 assigned | 3375 processed | 204 I stole | 213 stolen from me -Node 2 (Phys 2): 3392 assigned | 3398 processed | 209 I stole | 203 stolen from me -Node 3 (Phys 3): 3400 assigned | 3417 processed | 215 I stole | 198 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 844 chunks (6.2%) -================================================================= - -real 0m1.070s -user 0m4.806s -sys 0m20.223s - -CPU UTILIZATION: 23.391 / 28 - ------------------------------------------ - -(172): time { cat f2 | frun -k -X -l 1:-1 true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3422 assigned | 3409 processed | 222 I stole | 235 stolen from me -Node 1 (Phys 1): 3401 assigned | 3386 processed | 204 I stole | 219 stolen from me -Node 2 (Phys 2): 3309 assigned | 3335 processed | 217 I stole | 191 stolen from me -Node 3 (Phys 3): 3433 assigned | 3435 processed | 212 I stole | 210 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 855 chunks (6.3%) -================================================================= - -0 -real 0m1.076s -user 0m4.795s -sys 0m20.211s - -CPU UTILIZATION: 23.239 / 28 - ------------------------------------------ - -(173): time { frun -k -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.828s -user 0m3.423s -sys 0m16.556s - -CPU UTILIZATION: 24.129 / 28 - ------------------------------------------ - -(174): time { frun -k -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3423 assigned | 3426 processed | 263 I stole | 260 stolen from me -Node 1 (Phys 1): 3374 assigned | 3381 processed | 250 I stole | 243 stolen from me -Node 2 (Phys 2): 3375 assigned | 3385 processed | 236 I stole | 226 stolen from me -Node 3 (Phys 3): 3393 assigned | 3373 processed | 215 I stole | 235 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 964 chunks (7.1%) -================================================================= - -real 0m1.161s -user 0m6.147s -sys 0m21.607s - -CPU UTILIZATION: 23.905 / 28 - ------------------------------------------ - -(176): time { cat f2 | frun -k -X -l 1:-1 echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3456 assigned | 3429 processed | 275 I stole | 302 stolen from me -Node 1 (Phys 1): 3362 assigned | 3331 processed | 272 I stole | 303 stolen from me -Node 2 (Phys 2): 3402 assigned | 3404 processed | 291 I stole | 289 stolen from me -Node 3 (Phys 3): 3345 assigned | 3401 processed | 293 I stole | 237 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1131 chunks (8.3%) -================================================================= - -14837 -real 0m1.181s -user 0m6.249s -sys 0m21.990s - -CPU UTILIZATION: 23.911 / 28 - ------------------------------------------ - -(177): time { frun -k -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.596s -user 0m24.228s -sys 0m16.830s - -CPU UTILIZATION: 25.725 / 28 - ------------------------------------------ - -(178): time { frun -k -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3422 assigned | 3418 processed | 336 I stole | 340 stolen from me -Node 1 (Phys 1): 3377 assigned | 3371 processed | 342 I stole | 348 stolen from me -Node 2 (Phys 2): 3394 assigned | 3416 processed | 330 I stole | 308 stolen from me -Node 3 (Phys 3): 3372 assigned | 3360 processed | 310 I stole | 322 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1318 chunks (9.7%) -================================================================= - -real 0m1.890s -user 0m27.271s -sys 0m20.876s - -CPU UTILIZATION: 25.474 / 28 - ------------------------------------------ - -(180): time { cat f2 | frun -k -X -l 1:-1 printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3423 assigned | 3412 processed | 336 I stole | 347 stolen from me -Node 1 (Phys 1): 3444 assigned | 3423 processed | 324 I stole | 345 stolen from me -Node 2 (Phys 2): 3313 assigned | 3332 processed | 349 I stole | 330 stolen from me -Node 3 (Phys 3): 3385 assigned | 3398 processed | 293 I stole | 280 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1302 chunks (9.6%) -================================================================= - -100000000 -real 0m1.899s -user 0m27.310s -sys 0m21.353s - -CPU UTILIZATION: 25.625 / 28 - ------------------------------------------ - -(181): time { frun -u -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.171s -user 0m5.687s -sys 0m22.447s - -CPU UTILIZATION: 24.025 / 28 - ------------------------------------------ - -(182): time { frun -u -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3359 assigned | 3337 processed | 167 I stole | 189 stolen from me -Node 1 (Phys 1): 3438 assigned | 3456 processed | 179 I stole | 161 stolen from me -Node 2 (Phys 2): 3424 assigned | 3391 processed | 151 I stole | 184 stolen from me -Node 3 (Phys 3): 3344 assigned | 3381 processed | 204 I stole | 167 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 701 chunks (5.2%) -================================================================= - -real 0m1.307s -user 0m8.857s -sys 0m22.922s - -CPU UTILIZATION: 24.314 / 28 - ------------------------------------------ - -(184): time { cat f2 | frun -u -X true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3402 assigned | 3389 processed | 197 I stole | 210 stolen from me -Node 1 (Phys 1): 3405 assigned | 3405 processed | 193 I stole | 193 stolen from me -Node 2 (Phys 2): 3389 assigned | 3374 processed | 162 I stole | 177 stolen from me -Node 3 (Phys 3): 3369 assigned | 3397 processed | 188 I stole | 160 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 740 chunks (5.5%) -================================================================= - -0 -real 0m1.315s -user 0m8.803s -sys 0m23.005s - -CPU UTILIZATION: 24.188 / 28 - ------------------------------------------ - -(185): time { frun -u -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.260s -user 0m6.739s -sys 0m23.804s - -CPU UTILIZATION: 24.240 / 28 - ------------------------------------------ - -(186): time { frun -u -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3403 assigned | 3407 processed | 206 I stole | 202 stolen from me -Node 1 (Phys 1): 3419 assigned | 3413 processed | 190 I stole | 196 stolen from me -Node 2 (Phys 2): 3338 assigned | 3325 processed | 190 I stole | 203 stolen from me -Node 3 (Phys 3): 3405 assigned | 3420 processed | 191 I stole | 176 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 777 chunks (5.7%) -================================================================= - -real 0m1.395s -user 0m9.665s -sys 0m24.387s - -CPU UTILIZATION: 24.410 / 28 - ------------------------------------------ - -(188): time { cat f2 | frun -u -X echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3432 assigned | 3411 processed | 75 I stole | 96 stolen from me -Node 1 (Phys 1): 3389 assigned | 3396 processed | 81 I stole | 74 stolen from me -Node 2 (Phys 2): 3376 assigned | 3379 processed | 69 I stole | 66 stolen from me -Node 3 (Phys 3): 3368 assigned | 3379 processed | 81 I stole | 70 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 306 chunks (2.3%) -================================================================= - -28348 -real 0m1.478s -user 0m9.623s -sys 0m24.722s - -CPU UTILIZATION: 23.237 / 28 - ------------------------------------------ - -(189): time { frun -u -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m2.014s -user 0m27.235s -sys 0m23.605s - -CPU UTILIZATION: 25.243 / 28 - ------------------------------------------ - -(190): time { frun -u -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3396 assigned | 3409 processed | 179 I stole | 166 stolen from me -Node 1 (Phys 1): 3411 assigned | 3393 processed | 160 I stole | 178 stolen from me -Node 2 (Phys 2): 3394 assigned | 3395 processed | 156 I stole | 155 stolen from me -Node 3 (Phys 3): 3364 assigned | 3368 processed | 156 I stole | 152 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 651 chunks (4.8%) -================================================================= - -real 0m2.128s -user 0m29.168s -sys 0m24.799s - -CPU UTILIZATION: 25.360 / 28 - ------------------------------------------ - -(192): time { cat f2 | frun -u -X printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3411 assigned | 3402 processed | 14 I stole | 23 stolen from me -Node 1 (Phys 1): 3412 assigned | 3403 processed | 14 I stole | 23 stolen from me -Node 2 (Phys 2): 3375 assigned | 3381 processed | 18 I stole | 12 stolen from me -Node 3 (Phys 3): 3367 assigned | 3379 processed | 25 I stole | 13 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 71 chunks (0.5%) -================================================================= - -100000000 -real 0m2.330s -user 0m26.787s -sys 0m26.719s - -CPU UTILIZATION: 22.963 / 28 - ------------------------------------------ - -(193): time { frun -u -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.736s -user 0m1.837s -sys 0m15.585s - -CPU UTILIZATION: 23.671 / 28 - ------------------------------------------ - -(194): time { frun -u -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3438 assigned | 3391 processed | 196 I stole | 243 stolen from me -Node 1 (Phys 1): 3423 assigned | 3459 processed | 252 I stole | 216 stolen from me -Node 2 (Phys 2): 3352 assigned | 3330 processed | 210 I stole | 232 stolen from me -Node 3 (Phys 3): 3352 assigned | 3385 processed | 224 I stole | 191 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 882 chunks (6.5%) -================================================================= - -real 0m1.048s -user 0m4.550s -sys 0m20.010s - -CPU UTILIZATION: 23.435 / 28 - ------------------------------------------ - -(196): time { cat f2 | frun -u -X -l 1:-1 true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3387 assigned | 3363 processed | 217 I stole | 241 stolen from me -Node 1 (Phys 1): 3477 assigned | 3483 processed | 253 I stole | 247 stolen from me -Node 2 (Phys 2): 3314 assigned | 3298 processed | 232 I stole | 248 stolen from me -Node 3 (Phys 3): 3387 assigned | 3421 processed | 247 I stole | 213 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 949 chunks (7.0%) -================================================================= - -0 -real 0m1.077s -user 0m4.468s -sys 0m20.302s - -CPU UTILIZATION: 22.999 / 28 - ------------------------------------------ - -(197): time { frun -u -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 105 assigned | 105 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 107 assigned | 107 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.801s -user 0m3.354s -sys 0m15.822s - -CPU UTILIZATION: 23.940 / 28 - ------------------------------------------ - -(198): time { frun -u -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3438 assigned | 3413 processed | 248 I stole | 273 stolen from me -Node 1 (Phys 1): 3393 assigned | 3383 processed | 234 I stole | 244 stolen from me -Node 2 (Phys 2): 3401 assigned | 3364 processed | 186 I stole | 223 stolen from me -Node 3 (Phys 3): 3333 assigned | 3405 processed | 258 I stole | 186 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 926 chunks (6.8%) -================================================================= - -real 0m1.145s -user 0m5.793s -sys 0m20.814s - -CPU UTILIZATION: 23.237 / 28 - ------------------------------------------ - -(200): time { cat f2 | frun -u -X -l 1:-1 echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3440 assigned | 3442 processed | 212 I stole | 210 stolen from me -Node 1 (Phys 1): 3344 assigned | 3287 processed | 187 I stole | 244 stolen from me -Node 2 (Phys 2): 3357 assigned | 3412 processed | 215 I stole | 160 stolen from me -Node 3 (Phys 3): 3424 assigned | 3424 processed | 179 I stole | 179 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 793 chunks (5.8%) -================================================================= - -14836 -real 0m1.194s -user 0m5.624s -sys 0m21.697s - -CPU UTILIZATION: 22.881 / 28 - ------------------------------------------ - -(201): time { frun -u -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.568s -user 0m24.180s -sys 0m16.067s - -CPU UTILIZATION: 25.667 / 28 - ------------------------------------------ - -(202): time { frun -u -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3398 assigned | 3368 processed | 316 I stole | 346 stolen from me -Node 1 (Phys 1): 3372 assigned | 3410 processed | 357 I stole | 319 stolen from me -Node 2 (Phys 2): 3403 assigned | 3411 processed | 311 I stole | 303 stolen from me -Node 3 (Phys 3): 3392 assigned | 3376 processed | 275 I stole | 291 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1259 chunks (9.3%) -================================================================= - -real 0m1.845s -user 0m26.826s -sys 0m20.100s - -CPU UTILIZATION: 25.434 / 28 - ------------------------------------------ - -(204): time { cat f2 | frun -u -X -l 1:-1 printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3445 assigned | 3406 processed | 104 I stole | 143 stolen from me -Node 1 (Phys 1): 3374 assigned | 3382 processed | 120 I stole | 112 stolen from me -Node 2 (Phys 2): 3393 assigned | 3412 processed | 120 I stole | 101 stolen from me -Node 3 (Phys 3): 3353 assigned | 3365 processed | 105 I stole | 93 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 449 chunks (3.3%) -================================================================= - -100000000 -real 0m2.060s -user 0m24.867s -sys 0m21.342s - -CPU UTILIZATION: 22.431 / 28 - ------------------------------------------ - -(205): time { frun -U -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 108 assigned | 108 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 104 assigned | 104 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m4.296s -user 1m55.127s -sys 0m1.746s - -CPU UTILIZATION: 27.205 / 28 - ------------------------------------------ - -(206): time { frun -U -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3437 assigned | 3433 processed | 56 I stole | 60 stolen from me -Node 1 (Phys 1): 3379 assigned | 3371 processed | 50 I stole | 58 stolen from me -Node 2 (Phys 2): 3413 assigned | 3424 processed | 64 I stole | 53 stolen from me -Node 3 (Phys 3): 3336 assigned | 3337 processed | 48 I stole | 47 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 218 chunks (1.6%) -================================================================= - -real 0m4.403s -user 1m56.548s -sys 0m2.468s - -CPU UTILIZATION: 27.030 / 28 - ------------------------------------------ - -(208): time { cat f2 | frun -U -X true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3417 assigned | 3412 processed | 16 I stole | 21 stolen from me -Node 1 (Phys 1): 3371 assigned | 3383 processed | 28 I stole | 16 stolen from me -Node 2 (Phys 2): 3440 assigned | 3441 processed | 20 I stole | 19 stolen from me -Node 3 (Phys 3): 3337 assigned | 3329 processed | 13 I stole | 21 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 77 chunks (0.6%) -================================================================= - -0 -real 0m4.391s -user 1m57.146s -sys 0m2.405s - -CPU UTILIZATION: 27.226 / 28 - ------------------------------------------ - -(209): time { frun -U -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 105 assigned | 105 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 108 assigned | 108 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m4.735s -user 2m6.250s -sys 0m2.560s - -CPU UTILIZATION: 27.203 / 28 - ------------------------------------------ - -(210): time { frun -U -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3451 assigned | 3440 processed | 15 I stole | 26 stolen from me -Node 1 (Phys 1): 3410 assigned | 3423 processed | 25 I stole | 12 stolen from me -Node 2 (Phys 2): 3377 assigned | 3384 processed | 18 I stole | 11 stolen from me -Node 3 (Phys 3): 3327 assigned | 3318 processed | 7 I stole | 16 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 65 chunks (0.5%) -================================================================= - -real 0m4.829s -user 2m8.417s -sys 0m3.200s - -CPU UTILIZATION: 27.255 / 28 - ------------------------------------------ - -(212): time { cat f2 | frun -U -X echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3407 assigned | 3406 processed | 3 I stole | 4 stolen from me -Node 1 (Phys 1): 3451 assigned | 3453 processed | 4 I stole | 2 stolen from me -Node 2 (Phys 2): 3246 assigned | 3244 processed | 2 I stole | 4 stolen from me -Node 3 (Phys 3): 3461 assigned | 3462 processed | 4 I stole | 3 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 13 chunks (0.1%) -================================================================= - -28349 -real 0m4.832s -user 2m8.748s -sys 0m3.333s - -CPU UTILIZATION: 27.334 / 28 - ------------------------------------------ - -(213): time { frun -U -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m8.073s -user 2m49.406s -sys 0m51.269s - -CPU UTILIZATION: 27.334 / 28 - ------------------------------------------ - -(214): time { frun -U -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3340 assigned | 3341 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 3398 assigned | 3397 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 3416 assigned | 3416 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 3411 assigned | 3411 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (0.0%) -================================================================= - -real 0m8.169s -user 2m52.570s -sys 0m52.179s - -CPU UTILIZATION: 27.512 / 28 - ------------------------------------------ - -(216): time { cat f2 | frun -U -X printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3366 assigned | 3367 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 3448 assigned | 3447 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 3362 assigned | 3362 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 3389 assigned | 3389 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (0.0%) -================================================================= - -100000000 -real 0m8.196s -user 2m52.546s -sys 0m52.923s - -CPU UTILIZATION: 27.509 / 28 - ------------------------------------------ - -(217): time { frun -U -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 105 assigned | 105 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 105 assigned | 105 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 108 assigned | 108 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m4.679s -user 2m4.680s -sys 0m1.663s - -CPU UTILIZATION: 27.002 / 28 - ------------------------------------------ - -(218): time { frun -U -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3378 assigned | 3410 processed | 80 I stole | 48 stolen from me -Node 1 (Phys 1): 3400 assigned | 3385 processed | 42 I stole | 57 stolen from me -Node 2 (Phys 2): 3460 assigned | 3465 processed | 57 I stole | 52 stolen from me -Node 3 (Phys 3): 3327 assigned | 3305 processed | 40 I stole | 62 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 219 chunks (1.6%) -================================================================= - -real 0m4.378s -user 1m56.787s -sys 0m2.200s - -CPU UTILIZATION: 27.178 / 28 - ------------------------------------------ - -(220): time { cat f2 | frun -U -X -l 1:-1 true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3343 assigned | 3341 processed | 88 I stole | 90 stolen from me -Node 1 (Phys 1): 3460 assigned | 3468 processed | 90 I stole | 82 stolen from me -Node 2 (Phys 2): 3389 assigned | 3383 processed | 67 I stole | 73 stolen from me -Node 3 (Phys 3): 3373 assigned | 3373 processed | 63 I stole | 63 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 308 chunks (2.3%) -================================================================= - -0 -real 0m4.382s -user 1m56.774s -sys 0m2.186s - -CPU UTILIZATION: 27.147 / 28 - ------------------------------------------ - -(221): time { frun -U -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 108 assigned | 108 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 105 assigned | 105 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m5.031s -user 2m14.167s -sys 0m2.369s - -CPU UTILIZATION: 27.138 / 28 - ------------------------------------------ - -(222): time { frun -U -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3371 assigned | 3388 processed | 48 I stole | 31 stolen from me -Node 1 (Phys 1): 3417 assigned | 3394 processed | 23 I stole | 46 stolen from me -Node 2 (Phys 2): 3439 assigned | 3442 processed | 38 I stole | 35 stolen from me -Node 3 (Phys 3): 3338 assigned | 3341 processed | 34 I stole | 31 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 143 chunks (1.1%) -================================================================= - -real 0m4.822s -user 2m8.086s -sys 0m3.046s - -CPU UTILIZATION: 27.194 / 28 - ------------------------------------------ - -(224): time { cat f2 | frun -U -X -l 1:-1 echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3437 assigned | 3422 processed | 52 I stole | 67 stolen from me -Node 1 (Phys 1): 3355 assigned | 3376 processed | 64 I stole | 43 stolen from me -Node 2 (Phys 2): 3459 assigned | 3438 processed | 47 I stole | 68 stolen from me -Node 3 (Phys 3): 3314 assigned | 3329 processed | 53 I stole | 38 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 216 chunks (1.6%) -================================================================= - -14836 -real 0m4.822s -user 2m8.020s -sys 0m3.200s - -CPU UTILIZATION: 27.212 / 28 - ------------------------------------------ - -(225): time { frun -U -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m8.277s -user 2m54.009s -sys 0m52.310s - -CPU UTILIZATION: 27.343 / 28 - ------------------------------------------ - -(226): time { frun -U -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3377 assigned | 3385 processed | 27 I stole | 19 stolen from me -Node 1 (Phys 1): 3398 assigned | 3386 processed | 16 I stole | 28 stolen from me -Node 2 (Phys 2): 3359 assigned | 3357 processed | 18 I stole | 20 stolen from me -Node 3 (Phys 3): 3431 assigned | 3437 processed | 27 I stole | 21 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 88 chunks (0.6%) -================================================================= - -real 0m8.141s -user 2m51.599s -sys 0m52.063s - -CPU UTILIZATION: 27.473 / 28 - ------------------------------------------ - -(228): time { cat f2 | frun -U -X -l 1:-1 printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3347 assigned | 3331 processed | 24 I stole | 40 stolen from me -Node 1 (Phys 1): 3478 assigned | 3476 processed | 28 I stole | 30 stolen from me -Node 2 (Phys 2): 3398 assigned | 3404 processed | 30 I stole | 24 stolen from me -Node 3 (Phys 3): 3342 assigned | 3354 processed | 27 I stole | 15 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 109 chunks (0.8%) -================================================================= - -100000000 -real 0m8.243s -user 2m53.318s -sys 0m53.311s - -CPU UTILIZATION: 27.493 / 28 - ------------------------------------------ - -(229): time { frun -s : /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.404s -user 0m1.346s -sys 0m1.387s - -CPU UTILIZATION: 6.764 / 28 - ------------------------------------------ - -(230): time { frun -s : /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3401 assigned | 3410 processed | 9 I stole | 0 stolen from me -Node 1 (Phys 1): 3403 assigned | 3405 processed | 5 I stole | 3 stolen from me -Node 2 (Phys 2): 3376 assigned | 3368 processed | 0 I stole | 8 stolen from me -Node 3 (Phys 3): 3385 assigned | 3382 processed | 0 I stole | 3 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 14 chunks (0.1%) -================================================================= - -real 0m0.550s -user 0m3.996s -sys 0m3.503s - -CPU UTILIZATION: 13.634 / 28 - ------------------------------------------ - -(232): time { cat f2 | frun -s : | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3399 assigned | 3414 processed | 18 I stole | 3 stolen from me -Node 1 (Phys 1): 3394 assigned | 3387 processed | 2 I stole | 9 stolen from me -Node 2 (Phys 2): 3385 assigned | 3375 processed | 2 I stole | 12 stolen from me -Node 3 (Phys 3): 3387 assigned | 3389 processed | 7 I stole | 5 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 29 chunks (0.2%) -================================================================= - -0 -real 0m0.540s -user 0m4.063s -sys 0m3.451s - -CPU UTILIZATION: 13.914 / 28 - ------------------------------------------ - -(233): time { frun -s cat /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.828s -user 0m9.367s -sys 0m9.378s - -CPU UTILIZATION: 22.638 / 28 - ------------------------------------------ - -(234): time { frun -s cat /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3421 assigned | 3413 processed | 108 I stole | 116 stolen from me -Node 1 (Phys 1): 3454 assigned | 3444 processed | 105 I stole | 115 stolen from me -Node 2 (Phys 2): 3311 assigned | 3320 processed | 113 I stole | 104 stolen from me -Node 3 (Phys 3): 3379 assigned | 3388 processed | 118 I stole | 109 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 444 chunks (3.3%) -================================================================= - -real 0m0.991s -user 0m12.103s -sys 0m10.834s - -CPU UTILIZATION: 23.145 / 28 - ------------------------------------------ - -(236): time { cat f2 | frun -s cat | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3503 assigned | 3509 processed | 155 I stole | 149 stolen from me -Node 1 (Phys 1): 3387 assigned | 3360 processed | 133 I stole | 160 stolen from me -Node 2 (Phys 2): 3331 assigned | 3344 processed | 133 I stole | 120 stolen from me -Node 3 (Phys 3): 3344 assigned | 3352 processed | 140 I stole | 132 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 561 chunks (4.1%) -================================================================= - -100000000 -real 0m0.999s -user 0m12.175s -sys 0m11.152s - -CPU UTILIZATION: 23.350 / 28 - ------------------------------------------ - -(237): time { frun -s tee /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.801s -user 0m9.354s -sys 0m8.984s - -CPU UTILIZATION: 22.893 / 28 - ------------------------------------------ - -(238): time { frun -s tee /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3397 assigned | 3392 processed | 97 I stole | 102 stolen from me -Node 1 (Phys 1): 3402 assigned | 3416 processed | 113 I stole | 99 stolen from me -Node 2 (Phys 2): 3379 assigned | 3368 processed | 108 I stole | 119 stolen from me -Node 3 (Phys 3): 3387 assigned | 3389 processed | 116 I stole | 114 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 434 chunks (3.2%) -================================================================= - -real 0m1.550s -user 0m12.131s -sys 0m10.929s - -CPU UTILIZATION: 14.877 / 28 - ------------------------------------------ - -(240): time { cat f2 | frun -s tee | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3418 assigned | 3436 processed | 98 I stole | 80 stolen from me -Node 1 (Phys 1): 3446 assigned | 3440 processed | 83 I stole | 89 stolen from me -Node 2 (Phys 2): 3371 assigned | 3355 processed | 87 I stole | 103 stolen from me -Node 3 (Phys 3): 3330 assigned | 3334 processed | 87 I stole | 83 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 355 chunks (2.6%) -================================================================= - -100000000 -real 0m1.007s -user 0m12.224s -sys 0m10.776s - -CPU UTILIZATION: 22.840 / 28 - ------------------------------------------ - -(241): time { frun -b 524288 : /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 107 assigned | 106 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 107 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (0.2%) -================================================================= - -real 0m0.378s -user 0m0.175s -sys 0m0.689s - -CPU UTILIZATION: 2.285 / 28 - ------------------------------------------ - -(242): time { frun -b 524288 : /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3401 assigned | 3410 processed | 11 I stole | 2 stolen from me -Node 1 (Phys 1): 3395 assigned | 3394 processed | 4 I stole | 5 stolen from me -Node 2 (Phys 2): 3387 assigned | 3382 processed | 2 I stole | 7 stolen from me -Node 3 (Phys 3): 3382 assigned | 3379 processed | 1 I stole | 4 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 18 chunks (0.1%) -================================================================= - -real 0m0.463s -user 0m1.651s -sys 0m1.529s - -CPU UTILIZATION: 6.868 / 28 - ------------------------------------------ - -(244): time { cat f2 | frun -b 524288 : | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3401 assigned | 3413 processed | 12 I stole | 0 stolen from me -Node 1 (Phys 1): 3392 assigned | 3386 processed | 0 I stole | 6 stolen from me -Node 2 (Phys 2): 3388 assigned | 3385 processed | 1 I stole | 4 stolen from me -Node 3 (Phys 3): 3384 assigned | 3381 processed | 0 I stole | 3 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 13 chunks (0.1%) -================================================================= - -0 -real 0m0.458s -user 0m1.706s -sys 0m1.494s - -CPU UTILIZATION: 6.986 / 28 - ------------------------------------------ - -(245): time { frun -b 524288 cat /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.393s -user 0m0.644s -sys 0m1.307s - -CPU UTILIZATION: 4.964 / 28 - ------------------------------------------ - -(246): time { frun -b 524288 cat /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3410 assigned | 3409 processed | 7 I stole | 8 stolen from me -Node 1 (Phys 1): 3385 assigned | 3387 processed | 7 I stole | 5 stolen from me -Node 2 (Phys 2): 3389 assigned | 3390 processed | 8 I stole | 7 stolen from me -Node 3 (Phys 3): 3381 assigned | 3379 processed | 2 I stole | 4 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 24 chunks (0.2%) -================================================================= - -real 0m0.716s -user 0m4.727s -sys 0m4.332s - -CPU UTILIZATION: 12.652 / 28 - ------------------------------------------ - -(248): time { cat f2 | frun -b 524288 cat | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3395 assigned | 3397 processed | 11 I stole | 9 stolen from me -Node 1 (Phys 1): 3398 assigned | 3393 processed | 6 I stole | 11 stolen from me -Node 2 (Phys 2): 3390 assigned | 3387 processed | 7 I stole | 10 stolen from me -Node 3 (Phys 3): 3382 assigned | 3388 processed | 10 I stole | 4 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 34 chunks (0.3%) -================================================================= - -100000000 -real 0m0.735s -user 0m4.845s -sys 0m4.647s - -CPU UTILIZATION: 12.914 / 28 - ------------------------------------------ - -(249): time { frun -b 524288 tee /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.377s -user 0m0.663s -sys 0m1.274s - -CPU UTILIZATION: 5.137 / 28 - ------------------------------------------ - -(250): time { frun -b 524288 tee /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3390 assigned | 3387 processed | 13 I stole | 16 stolen from me -Node 1 (Phys 1): 3395 assigned | 3396 processed | 11 I stole | 10 stolen from me -Node 2 (Phys 2): 3407 assigned | 3403 processed | 11 I stole | 15 stolen from me -Node 3 (Phys 3): 3373 assigned | 3379 processed | 10 I stole | 4 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 45 chunks (0.3%) -================================================================= - -real 0m0.695s -user 0m4.778s -sys 0m3.966s - -CPU UTILIZATION: 12.581 / 28 - ------------------------------------------ - -(252): time { cat f2 | frun -b 524288 tee | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3396 assigned | 3394 processed | 11 I stole | 13 stolen from me -Node 1 (Phys 1): 3390 assigned | 3388 processed | 10 I stole | 12 stolen from me -Node 2 (Phys 2): 3392 assigned | 3394 processed | 11 I stole | 9 stolen from me -Node 3 (Phys 3): 3387 assigned | 3389 processed | 8 I stole | 6 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 40 chunks (0.3%) -================================================================= - -100000000 -real 0m0.702s -user 0m4.829s -sys 0m4.361s - -CPU UTILIZATION: 13.091 / 28 - ------------------------------------------ - -(253): time { frun -b4096 -s : /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 105 assigned | 105 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.805s -user 0m14.495s -sys 0m5.429s - -CPU UTILIZATION: 24.750 / 28 - ------------------------------------------ - -(254): time { frun -b4096 -s : /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3450 assigned | 3441 processed | 235 I stole | 244 stolen from me -Node 1 (Phys 1): 3400 assigned | 3417 processed | 239 I stole | 222 stolen from me -Node 2 (Phys 2): 3370 assigned | 3357 processed | 230 I stole | 243 stolen from me -Node 3 (Phys 3): 3345 assigned | 3350 processed | 222 I stole | 217 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 926 chunks (6.8%) -================================================================= - -real 0m1.044s -user 0m15.160s -sys 0m7.372s - -CPU UTILIZATION: 21.582 / 28 - ------------------------------------------ - -(256): time { cat f2 | frun -b4096 -s : | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3481 assigned | 3420 processed | 231 I stole | 292 stolen from me -Node 1 (Phys 1): 3444 assigned | 3464 processed | 244 I stole | 224 stolen from me -Node 2 (Phys 2): 3318 assigned | 3340 processed | 258 I stole | 236 stolen from me -Node 3 (Phys 3): 3322 assigned | 3341 processed | 244 I stole | 225 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 977 chunks (7.2%) -================================================================= - -0 -real 0m1.037s -user 0m15.011s -sys 0m7.497s - -CPU UTILIZATION: 21.704 / 28 - ------------------------------------------ - -(257): time { frun -b4096 -s cat /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m5.684s -user 1m17.165s -sys 1m2.832s - -CPU UTILIZATION: 24.630 / 28 - ------------------------------------------ - -(258): time { frun -b4096 -s cat /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3395 assigned | 3395 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 3391 assigned | 3391 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 3393 assigned | 3393 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 3386 assigned | 3386 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m5.734s -user 1m17.361s -sys 1m3.855s - -CPU UTILIZATION: 24.627 / 28 - ------------------------------------------ - -(260): time { cat f2 | frun -b4096 -s cat | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3397 assigned | 3397 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 3385 assigned | 3385 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 3395 assigned | 3395 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 3388 assigned | 3388 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -100000000 -real 0m5.763s -user 1m17.218s -sys 1m4.951s - -CPU UTILIZATION: 24.669 / 28 - ------------------------------------------ - -(261): time { frun -b4096 -s tee /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 107 assigned | 107 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 106 assigned | 106 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 106 assigned | 106 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m5.610s -user 1m16.980s -sys 1m1.029s - -CPU UTILIZATION: 24.600 / 28 - ------------------------------------------ - -(262): time { frun -b4096 -s tee /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3397 assigned | 3397 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 3394 assigned | 3395 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 3387 assigned | 3385 processed | 0 I stole | 2 stolen from me -Node 3 (Phys 3): 3387 assigned | 3388 processed | 1 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 2 chunks (0.0%) -================================================================= - -real 0m5.633s -user 1m17.105s -sys 1m1.563s - -CPU UTILIZATION: 24.617 / 28 - ------------------------------------------ - -(264): time { cat f2 | frun -b4096 -s tee | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 3402 assigned | 3402 processed | 1 I stole | 1 stolen from me -Node 1 (Phys 1): 3392 assigned | 3391 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 3393 assigned | 3394 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 3378 assigned | 3378 processed | 1 I stole | 1 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 3 chunks (0.0%) -================================================================= - -100000000 -real 0m5.673s -user 1m17.320s -sys 1m2.579s - -CPU UTILIZATION: 24.660 / 28 - ------------------------------------------ - -(265): time { frun -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.162s -user 0m0.585s -sys 0m1.152s - -CPU UTILIZATION: 10.722 / 28 - ------------------------------------------ - -(266): time { frun -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 647 assigned | 650 processed | 6 I stole | 3 stolen from me -Node 1 (Phys 1): 642 assigned | 642 processed | 2 I stole | 2 stolen from me -Node 2 (Phys 2): 637 assigned | 628 processed | 0 I stole | 9 stolen from me -Node 3 (Phys 3): 636 assigned | 642 processed | 8 I stole | 2 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 16 chunks (0.6%) -================================================================= - -real 0m0.214s -user 0m1.527s -sys 0m1.619s - -CPU UTILIZATION: 14.700 / 28 - ------------------------------------------ - -(268): time { cat f3 | frun -X true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 656 assigned | 658 processed | 3 I stole | 1 stolen from me -Node 1 (Phys 1): 633 assigned | 631 processed | 3 I stole | 5 stolen from me -Node 2 (Phys 2): 629 assigned | 626 processed | 3 I stole | 6 stolen from me -Node 3 (Phys 3): 644 assigned | 647 processed | 5 I stole | 2 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 14 chunks (0.5%) -================================================================= - -0 -real 0m0.220s -user 0m1.522s -sys 0m1.640s - -CPU UTILIZATION: 14.372 / 28 - ------------------------------------------ - -(269): time { frun -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 23 assigned | 24 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 20 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 19 assigned | 20 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 18 processed | 0 I stole | 1 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 2 chunks (2.4%) -================================================================= - -real 0m0.168s -user 0m0.670s -sys 0m1.326s - -CPU UTILIZATION: 11.880 / 28 - ------------------------------------------ - -(270): time { frun -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 651 assigned | 658 processed | 13 I stole | 6 stolen from me -Node 1 (Phys 1): 631 assigned | 629 processed | 8 I stole | 10 stolen from me -Node 2 (Phys 2): 639 assigned | 637 processed | 6 I stole | 8 stolen from me -Node 3 (Phys 3): 641 assigned | 638 processed | 7 I stole | 10 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 34 chunks (1.3%) -================================================================= - -real 0m0.230s -user 0m1.523s -sys 0m1.985s - -CPU UTILIZATION: 15.252 / 28 - ------------------------------------------ - -(272): time { cat f3 | frun -X echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 632 assigned | 625 processed | 1 I stole | 8 stolen from me -Node 1 (Phys 1): 644 assigned | 646 processed | 7 I stole | 5 stolen from me -Node 2 (Phys 2): 625 assigned | 626 processed | 5 I stole | 4 stolen from me -Node 3 (Phys 3): 661 assigned | 665 processed | 8 I stole | 4 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 21 chunks (0.8%) -================================================================= - -3491 -real 0m0.232s -user 0m1.558s -sys 0m2.033s - -CPU UTILIZATION: 15.478 / 28 - ------------------------------------------ - -(273): time { frun -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.172s -user 0m1.061s -sys 0m1.411s - -CPU UTILIZATION: 14.372 / 28 - ------------------------------------------ - -(274): time { frun -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 646 assigned | 652 processed | 17 I stole | 11 stolen from me -Node 1 (Phys 1): 633 assigned | 631 processed | 15 I stole | 17 stolen from me -Node 2 (Phys 2): 646 assigned | 638 processed | 11 I stole | 19 stolen from me -Node 3 (Phys 3): 637 assigned | 641 processed | 19 I stole | 15 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 62 chunks (2.4%) -================================================================= - -real 0m0.242s -user 0m1.732s -sys 0m2.192s - -CPU UTILIZATION: 16.214 / 28 - ------------------------------------------ - -(276): time { cat f3 | frun -X printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 638 assigned | 643 processed | 15 I stole | 10 stolen from me -Node 1 (Phys 1): 648 assigned | 645 processed | 7 I stole | 10 stolen from me -Node 2 (Phys 2): 631 assigned | 632 processed | 13 I stole | 12 stolen from me -Node 3 (Phys 3): 645 assigned | 642 processed | 6 I stole | 9 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 41 chunks (1.6%) -================================================================= - -2113621 -real 0m0.246s -user 0m1.729s -sys 0m2.289s - -CPU UTILIZATION: 16.333 / 28 - ------------------------------------------ - -(277): time { frun -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.158s -user 0m0.537s -sys 0m1.073s - -CPU UTILIZATION: 10.189 / 28 - ------------------------------------------ - -(278): time { frun -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 649 assigned | 649 processed | 3 I stole | 3 stolen from me -Node 1 (Phys 1): 630 assigned | 628 processed | 1 I stole | 3 stolen from me -Node 2 (Phys 2): 648 assigned | 648 processed | 5 I stole | 5 stolen from me -Node 3 (Phys 3): 635 assigned | 637 processed | 4 I stole | 2 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 13 chunks (0.5%) -================================================================= - -real 0m0.217s -user 0m1.497s -sys 0m1.611s - -CPU UTILIZATION: 14.322 / 28 - ------------------------------------------ - -(280): time { cat f3 | frun -X -l 1:-1 true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 662 assigned | 664 processed | 5 I stole | 3 stolen from me -Node 1 (Phys 1): 644 assigned | 646 processed | 4 I stole | 2 stolen from me -Node 2 (Phys 2): 628 assigned | 628 processed | 2 I stole | 2 stolen from me -Node 3 (Phys 3): 628 assigned | 624 processed | 0 I stole | 4 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 11 chunks (0.4%) -================================================================= - -0 -real 0m0.216s -user 0m1.500s -sys 0m1.616s - -CPU UTILIZATION: 14.425 / 28 - ------------------------------------------ - -(281): time { frun -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.165s -user 0m0.591s -sys 0m1.323s - -CPU UTILIZATION: 11.600 / 28 - ------------------------------------------ - -(282): time { frun -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 649 assigned | 649 processed | 5 I stole | 5 stolen from me -Node 1 (Phys 1): 633 assigned | 641 processed | 11 I stole | 3 stolen from me -Node 2 (Phys 2): 638 assigned | 638 processed | 4 I stole | 4 stolen from me -Node 3 (Phys 3): 642 assigned | 634 processed | 1 I stole | 9 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 21 chunks (0.8%) -================================================================= - -real 0m0.233s -user 0m1.561s -sys 0m1.934s - -CPU UTILIZATION: 15.000 / 28 - ------------------------------------------ - -(284): time { cat f3 | frun -X -l 1:-1 echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 638 assigned | 642 processed | 9 I stole | 5 stolen from me -Node 1 (Phys 1): 644 assigned | 642 processed | 5 I stole | 7 stolen from me -Node 2 (Phys 2): 652 assigned | 647 processed | 4 I stole | 9 stolen from me -Node 3 (Phys 3): 628 assigned | 631 processed | 8 I stole | 5 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 26 chunks (1.0%) -================================================================= - -3463 -real 0m0.234s -user 0m1.556s -sys 0m2.017s - -CPU UTILIZATION: 15.269 / 28 - ------------------------------------------ - -(285): time { frun -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 22 assigned | 21 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 19 assigned | 20 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (1.2%) -================================================================= - -real 0m0.175s -user 0m0.976s -sys 0m1.350s - -CPU UTILIZATION: 13.291 / 28 - ------------------------------------------ - -(286): time { frun -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 652 assigned | 650 processed | 10 I stole | 12 stolen from me -Node 1 (Phys 1): 625 assigned | 619 processed | 7 I stole | 13 stolen from me -Node 2 (Phys 2): 639 assigned | 647 processed | 14 I stole | 6 stolen from me -Node 3 (Phys 3): 646 assigned | 646 processed | 9 I stole | 9 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 40 chunks (1.6%) -================================================================= - -real 0m0.241s -user 0m1.755s -sys 0m2.143s - -CPU UTILIZATION: 16.174 / 28 - ------------------------------------------ - -(288): time { cat f3 | frun -X -l 1:-1 printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 649 assigned | 650 processed | 12 I stole | 11 stolen from me -Node 1 (Phys 1): 626 assigned | 630 processed | 18 I stole | 14 stolen from me -Node 2 (Phys 2): 640 assigned | 639 processed | 10 I stole | 11 stolen from me -Node 3 (Phys 3): 647 assigned | 643 processed | 10 I stole | 14 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 50 chunks (2.0%) -================================================================= - -2113621 -real 0m0.243s -user 0m1.709s -sys 0m2.280s - -CPU UTILIZATION: 16.415 / 28 - ------------------------------------------ - -(289): time { frun -k -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 1 I stole | 1 stolen from me -Node 1 (Phys 1): 21 assigned | 22 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 19 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 2 chunks (2.4%) -================================================================= - -real 0m0.159s -user 0m0.589s -sys 0m1.179s - -CPU UTILIZATION: 11.119 / 28 - ------------------------------------------ - -(290): time { frun -k -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 657 assigned | 661 processed | 5 I stole | 1 stolen from me -Node 1 (Phys 1): 646 assigned | 641 processed | 0 I stole | 5 stolen from me -Node 2 (Phys 2): 637 assigned | 640 processed | 3 I stole | 0 stolen from me -Node 3 (Phys 3): 622 assigned | 620 processed | 1 I stole | 3 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 9 chunks (0.4%) -================================================================= - -real 0m0.221s -user 0m1.497s -sys 0m1.681s - -CPU UTILIZATION: 14.380 / 28 - ------------------------------------------ - -(292): time { cat f3 | frun -k -X true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 657 assigned | 662 processed | 6 I stole | 1 stolen from me -Node 1 (Phys 1): 635 assigned | 631 processed | 1 I stole | 5 stolen from me -Node 2 (Phys 2): 640 assigned | 638 processed | 2 I stole | 4 stolen from me -Node 3 (Phys 3): 630 assigned | 631 processed | 3 I stole | 2 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 12 chunks (0.5%) -================================================================= - -0 -real 0m0.216s -user 0m1.550s -sys 0m1.600s - -CPU UTILIZATION: 14.583 / 28 - ------------------------------------------ - -(293): time { frun -k -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.161s -user 0m0.681s -sys 0m1.333s - -CPU UTILIZATION: 12.509 / 28 - ------------------------------------------ - -(294): time { frun -k -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 655 assigned | 665 processed | 14 I stole | 4 stolen from me -Node 1 (Phys 1): 634 assigned | 629 processed | 2 I stole | 7 stolen from me -Node 2 (Phys 2): 649 assigned | 649 processed | 4 I stole | 4 stolen from me -Node 3 (Phys 3): 624 assigned | 619 processed | 3 I stole | 8 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 23 chunks (0.9%) -================================================================= - -real 0m0.228s -user 0m1.576s -sys 0m1.927s - -CPU UTILIZATION: 15.364 / 28 - ------------------------------------------ - -(296): time { cat f3 | frun -k -X echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 667 assigned | 678 processed | 15 I stole | 4 stolen from me -Node 1 (Phys 1): 658 assigned | 649 processed | 0 I stole | 9 stolen from me -Node 2 (Phys 2): 609 assigned | 609 processed | 7 I stole | 7 stolen from me -Node 3 (Phys 3): 628 assigned | 626 processed | 9 I stole | 11 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 31 chunks (1.2%) -================================================================= - -3490 -real 0m0.232s -user 0m1.595s -sys 0m1.986s - -CPU UTILIZATION: 15.435 / 28 - ------------------------------------------ - -(297): time { frun -k -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.172s -user 0m1.067s -sys 0m1.445s - -CPU UTILIZATION: 14.604 / 28 - ------------------------------------------ - -(298): time { frun -k -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 641 assigned | 636 processed | 14 I stole | 19 stolen from me -Node 1 (Phys 1): 653 assigned | 661 processed | 18 I stole | 10 stolen from me -Node 2 (Phys 2): 642 assigned | 646 processed | 15 I stole | 11 stolen from me -Node 3 (Phys 3): 626 assigned | 619 processed | 12 I stole | 19 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 59 chunks (2.3%) -================================================================= - -real 0m0.244s -user 0m1.715s -sys 0m2.173s - -CPU UTILIZATION: 15.934 / 28 - ------------------------------------------ - -(300): time { cat f3 | frun -k -X printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 678 assigned | 687 processed | 19 I stole | 10 stolen from me -Node 1 (Phys 1): 645 assigned | 643 processed | 11 I stole | 13 stolen from me -Node 2 (Phys 2): 622 assigned | 621 processed | 12 I stole | 13 stolen from me -Node 3 (Phys 3): 617 assigned | 611 processed | 8 I stole | 14 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 50 chunks (2.0%) -================================================================= - -2113621 -real 0m0.243s -user 0m1.714s -sys 0m2.243s - -CPU UTILIZATION: 16.283 / 28 - ------------------------------------------ - -(301): time { frun -k -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 23 assigned | 24 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 20 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (1.2%) -================================================================= - -real 0m0.161s -user 0m0.521s -sys 0m1.139s - -CPU UTILIZATION: 10.310 / 28 - ------------------------------------------ - -(302): time { frun -k -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 650 assigned | 659 processed | 12 I stole | 3 stolen from me -Node 1 (Phys 1): 641 assigned | 638 processed | 4 I stole | 7 stolen from me -Node 2 (Phys 2): 636 assigned | 639 processed | 8 I stole | 5 stolen from me -Node 3 (Phys 3): 635 assigned | 626 processed | 0 I stole | 9 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 24 chunks (0.9%) -================================================================= - -real 0m0.217s -user 0m1.526s -sys 0m1.584s - -CPU UTILIZATION: 14.331 / 28 - ------------------------------------------ - -(304): time { cat f3 | frun -k -X -l 1:-1 true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 657 assigned | 653 processed | 4 I stole | 8 stolen from me -Node 1 (Phys 1): 621 assigned | 617 processed | 4 I stole | 8 stolen from me -Node 2 (Phys 2): 639 assigned | 638 processed | 6 I stole | 7 stolen from me -Node 3 (Phys 3): 645 assigned | 654 processed | 13 I stole | 4 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 27 chunks (1.1%) -================================================================= - -0 -real 0m0.217s -user 0m1.546s -sys 0m1.590s - -CPU UTILIZATION: 14.451 / 28 - ------------------------------------------ - -(305): time { frun -k -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.163s -user 0m0.646s -sys 0m1.254s - -CPU UTILIZATION: 11.656 / 28 - ------------------------------------------ - -(306): time { frun -k -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 642 assigned | 649 processed | 11 I stole | 4 stolen from me -Node 1 (Phys 1): 654 assigned | 657 processed | 7 I stole | 4 stolen from me -Node 2 (Phys 2): 630 assigned | 620 processed | 3 I stole | 13 stolen from me -Node 3 (Phys 3): 636 assigned | 636 processed | 8 I stole | 8 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 29 chunks (1.1%) -================================================================= - -real 0m0.227s -user 0m1.569s -sys 0m1.903s - -CPU UTILIZATION: 15.295 / 28 - ------------------------------------------ - -(308): time { cat f3 | frun -k -X -l 1:-1 echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 665 assigned | 671 processed | 15 I stole | 9 stolen from me -Node 1 (Phys 1): 650 assigned | 651 processed | 11 I stole | 10 stolen from me -Node 2 (Phys 2): 626 assigned | 624 processed | 7 I stole | 9 stolen from me -Node 3 (Phys 3): 621 assigned | 616 processed | 8 I stole | 13 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 41 chunks (1.6%) -================================================================= - -3460 -real 0m0.231s -user 0m1.565s -sys 0m1.981s - -CPU UTILIZATION: 15.350 / 28 - ------------------------------------------ - -(309): time { frun -k -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.177s -user 0m1.007s -sys 0m1.367s - -CPU UTILIZATION: 13.412 / 28 - ------------------------------------------ - -(310): time { frun -k -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 632 assigned | 629 processed | 12 I stole | 15 stolen from me -Node 1 (Phys 1): 602 assigned | 598 processed | 7 I stole | 11 stolen from me -Node 2 (Phys 2): 663 assigned | 670 processed | 19 I stole | 12 stolen from me -Node 3 (Phys 3): 665 assigned | 665 processed | 12 I stole | 12 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 50 chunks (2.0%) -================================================================= - -real 0m0.242s -user 0m1.701s -sys 0m2.175s - -CPU UTILIZATION: 16.016 / 28 - ------------------------------------------ - -(312): time { cat f3 | frun -k -X -l 1:-1 printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 656 assigned | 655 processed | 17 I stole | 18 stolen from me -Node 1 (Phys 1): 631 assigned | 625 processed | 14 I stole | 20 stolen from me -Node 2 (Phys 2): 625 assigned | 615 processed | 15 I stole | 25 stolen from me -Node 3 (Phys 3): 650 assigned | 667 processed | 32 I stole | 15 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 78 chunks (3.0%) -================================================================= - -2113621 -real 0m0.243s -user 0m1.789s -sys 0m2.187s - -CPU UTILIZATION: 16.362 / 28 - ------------------------------------------ - -(313): time { frun -u -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.159s -user 0m0.568s -sys 0m1.150s - -CPU UTILIZATION: 10.805 / 28 - ------------------------------------------ - -(314): time { frun -u -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 654 assigned | 651 processed | 2 I stole | 5 stolen from me -Node 1 (Phys 1): 632 assigned | 638 processed | 8 I stole | 2 stolen from me -Node 2 (Phys 2): 642 assigned | 643 processed | 3 I stole | 2 stolen from me -Node 3 (Phys 3): 634 assigned | 630 processed | 2 I stole | 6 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 15 chunks (0.6%) -================================================================= - -real 0m0.217s -user 0m1.437s -sys 0m1.613s - -CPU UTILIZATION: 14.055 / 28 - ------------------------------------------ - -(316): time { cat f3 | frun -u -X true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 665 assigned | 678 processed | 13 I stole | 0 stolen from me -Node 1 (Phys 1): 632 assigned | 630 processed | 3 I stole | 5 stolen from me -Node 2 (Phys 2): 641 assigned | 638 processed | 2 I stole | 5 stolen from me -Node 3 (Phys 3): 624 assigned | 616 processed | 2 I stole | 10 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 20 chunks (0.8%) -================================================================= - -0 -real 0m0.221s -user 0m1.421s -sys 0m1.591s - -CPU UTILIZATION: 13.628 / 28 - ------------------------------------------ - -(317): time { frun -u -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 19 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 18 assigned | 19 processed | 1 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (1.2%) -================================================================= - -real 0m0.162s -user 0m0.617s -sys 0m1.198s - -CPU UTILIZATION: 11.203 / 28 - ------------------------------------------ - -(318): time { frun -u -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 657 assigned | 668 processed | 13 I stole | 2 stolen from me -Node 1 (Phys 1): 641 assigned | 640 processed | 2 I stole | 3 stolen from me -Node 2 (Phys 2): 634 assigned | 630 processed | 1 I stole | 5 stolen from me -Node 3 (Phys 3): 630 assigned | 624 processed | 2 I stole | 8 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 18 chunks (0.7%) -================================================================= - -real 0m0.220s -user 0m1.486s -sys 0m1.749s - -CPU UTILIZATION: 14.704 / 28 - ------------------------------------------ - -(320): time { cat f3 | frun -u -X echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 660 assigned | 663 processed | 9 I stole | 6 stolen from me -Node 1 (Phys 1): 652 assigned | 654 processed | 7 I stole | 5 stolen from me -Node 2 (Phys 2): 636 assigned | 630 processed | 7 I stole | 13 stolen from me -Node 3 (Phys 3): 614 assigned | 615 processed | 8 I stole | 7 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 31 chunks (1.2%) -================================================================= - -3496 -real 0m0.227s -user 0m1.490s -sys 0m1.894s - -CPU UTILIZATION: 14.907 / 28 - ------------------------------------------ - -(321): time { frun -u -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 22 assigned | 21 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 20 assigned | 21 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (1.2%) -================================================================= - -real 0m0.168s -user 0m0.984s -sys 0m1.320s - -CPU UTILIZATION: 13.714 / 28 - ------------------------------------------ - -(322): time { frun -u -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 650 assigned | 651 processed | 15 I stole | 14 stolen from me -Node 1 (Phys 1): 653 assigned | 647 processed | 8 I stole | 14 stolen from me -Node 2 (Phys 2): 632 assigned | 630 processed | 6 I stole | 8 stolen from me -Node 3 (Phys 3): 627 assigned | 634 processed | 11 I stole | 4 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 40 chunks (1.6%) -================================================================= - -real 0m0.232s -user 0m1.703s -sys 0m1.963s - -CPU UTILIZATION: 15.801 / 28 - ------------------------------------------ - -(324): time { cat f3 | frun -u -X printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 654 assigned | 653 processed | 16 I stole | 17 stolen from me -Node 1 (Phys 1): 651 assigned | 662 processed | 24 I stole | 13 stolen from me -Node 2 (Phys 2): 625 assigned | 620 processed | 12 I stole | 17 stolen from me -Node 3 (Phys 3): 632 assigned | 627 processed | 13 I stole | 18 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 65 chunks (2.5%) -================================================================= - -2113621 -real 0m0.232s -user 0m1.742s -sys 0m2.054s - -CPU UTILIZATION: 16.362 / 28 - ------------------------------------------ - -(325): time { frun -u -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 19 assigned | 19 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.156s -user 0m0.532s -sys 0m1.049s - -CPU UTILIZATION: 10.134 / 28 - ------------------------------------------ - -(326): time { frun -u -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 636 assigned | 639 processed | 5 I stole | 2 stolen from me -Node 1 (Phys 1): 645 assigned | 650 processed | 6 I stole | 1 stolen from me -Node 2 (Phys 2): 644 assigned | 639 processed | 2 I stole | 7 stolen from me -Node 3 (Phys 3): 637 assigned | 634 processed | 1 I stole | 4 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 14 chunks (0.5%) -================================================================= - -real 0m0.212s -user 0m1.504s -sys 0m1.514s - -CPU UTILIZATION: 14.235 / 28 - ------------------------------------------ - -(328): time { cat f3 | frun -u -X -l 1:-1 true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 649 assigned | 657 processed | 9 I stole | 1 stolen from me -Node 1 (Phys 1): 629 assigned | 625 processed | 1 I stole | 5 stolen from me -Node 2 (Phys 2): 648 assigned | 649 processed | 5 I stole | 4 stolen from me -Node 3 (Phys 3): 636 assigned | 631 processed | 2 I stole | 7 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 17 chunks (0.7%) -================================================================= - -0 -real 0m0.211s -user 0m1.471s -sys 0m1.565s - -CPU UTILIZATION: 14.388 / 28 - ------------------------------------------ - -(329): time { frun -u -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 23 assigned | 24 processed | 1 I stole | 0 stolen from me -Node 1 (Phys 1): 22 assigned | 22 processed | 1 I stole | 1 stolen from me -Node 2 (Phys 2): 19 assigned | 18 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 2 chunks (2.4%) -================================================================= - -real 0m0.164s -user 0m0.586s -sys 0m1.100s - -CPU UTILIZATION: 10.280 / 28 - ------------------------------------------ - -(330): time { frun -u -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 656 assigned | 659 processed | 5 I stole | 2 stolen from me -Node 1 (Phys 1): 660 assigned | 658 processed | 3 I stole | 5 stolen from me -Node 2 (Phys 2): 624 assigned | 628 processed | 6 I stole | 2 stolen from me -Node 3 (Phys 3): 622 assigned | 617 processed | 0 I stole | 5 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 14 chunks (0.5%) -================================================================= - -real 0m0.218s -user 0m1.510s -sys 0m1.713s - -CPU UTILIZATION: 14.784 / 28 - ------------------------------------------ - -(332): time { cat f3 | frun -u -X -l 1:-1 echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 646 assigned | 647 processed | 7 I stole | 6 stolen from me -Node 1 (Phys 1): 656 assigned | 660 processed | 11 I stole | 7 stolen from me -Node 2 (Phys 2): 637 assigned | 636 processed | 4 I stole | 5 stolen from me -Node 3 (Phys 3): 623 assigned | 619 processed | 3 I stole | 7 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 25 chunks (1.0%) -================================================================= - -3459 -real 0m0.223s -user 0m1.469s -sys 0m1.916s - -CPU UTILIZATION: 15.179 / 28 - ------------------------------------------ - -(333): time { frun -u -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 24 assigned | 24 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 22 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 19 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 17 assigned | 17 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (1.2%) -================================================================= - -real 0m0.169s -user 0m0.963s -sys 0m1.164s - -CPU UTILIZATION: 12.585 / 28 - ------------------------------------------ - -(334): time { frun -u -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 650 assigned | 655 processed | 13 I stole | 8 stolen from me -Node 1 (Phys 1): 679 assigned | 683 processed | 12 I stole | 8 stolen from me -Node 2 (Phys 2): 617 assigned | 613 processed | 7 I stole | 11 stolen from me -Node 3 (Phys 3): 616 assigned | 611 processed | 7 I stole | 12 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 39 chunks (1.5%) -================================================================= - -real 0m0.225s -user 0m1.595s -sys 0m1.978s - -CPU UTILIZATION: 15.880 / 28 - ------------------------------------------ - -(336): time { cat f3 | frun -u -X -l 1:-1 printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 652 assigned | 648 processed | 14 I stole | 18 stolen from me -Node 1 (Phys 1): 652 assigned | 659 processed | 15 I stole | 8 stolen from me -Node 2 (Phys 2): 625 assigned | 620 processed | 11 I stole | 16 stolen from me -Node 3 (Phys 3): 633 assigned | 635 processed | 13 I stole | 11 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 53 chunks (2.1%) -================================================================= - -2113621 -real 0m0.234s -user 0m1.761s -sys 0m2.028s - -CPU UTILIZATION: 16.192 / 28 - ------------------------------------------ - -(337): time { frun -U -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 21 assigned | 21 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.357s -user 0m7.101s -sys 0m0.393s - -CPU UTILIZATION: 20.991 / 28 - ------------------------------------------ - -(338): time { frun -U -X true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 660 assigned | 680 processed | 94 I stole | 74 stolen from me -Node 1 (Phys 1): 604 assigned | 613 processed | 79 I stole | 70 stolen from me -Node 2 (Phys 2): 653 assigned | 627 processed | 66 I stole | 92 stolen from me -Node 3 (Phys 3): 645 assigned | 642 processed | 72 I stole | 75 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 311 chunks (12.1%) -================================================================= - -real 0m0.351s -user 0m7.036s -sys 0m0.380s - -CPU UTILIZATION: 21.128 / 28 - ------------------------------------------ - -(340): time { cat f3 | frun -U -X true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 641 assigned | 643 processed | 71 I stole | 69 stolen from me -Node 1 (Phys 1): 625 assigned | 645 processed | 75 I stole | 55 stolen from me -Node 2 (Phys 2): 636 assigned | 598 processed | 52 I stole | 90 stolen from me -Node 3 (Phys 3): 660 assigned | 676 processed | 71 I stole | 55 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 269 chunks (10.5%) -================================================================= - -0 -real 0m0.350s -user 0m6.883s -sys 0m0.419s - -CPU UTILIZATION: 20.862 / 28 - ------------------------------------------ - -(341): time { frun -U -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.382s -user 0m7.583s -sys 0m0.531s - -CPU UTILIZATION: 21.240 / 28 - ------------------------------------------ - -(342): time { frun -U -X echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 658 assigned | 650 processed | 97 I stole | 105 stolen from me -Node 1 (Phys 1): 659 assigned | 648 processed | 84 I stole | 95 stolen from me -Node 2 (Phys 2): 641 assigned | 638 processed | 76 I stole | 79 stolen from me -Node 3 (Phys 3): 604 assigned | 626 processed | 108 I stole | 86 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 365 chunks (14.2%) -================================================================= - -real 0m0.369s -user 0m7.422s -sys 0m0.563s - -CPU UTILIZATION: 21.639 / 28 - ------------------------------------------ - -(344): time { cat f3 | frun -U -X echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 666 assigned | 659 processed | 86 I stole | 93 stolen from me -Node 1 (Phys 1): 657 assigned | 671 processed | 105 I stole | 91 stolen from me -Node 2 (Phys 2): 625 assigned | 648 processed | 115 I stole | 92 stolen from me -Node 3 (Phys 3): 614 assigned | 584 processed | 67 I stole | 97 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 373 chunks (14.6%) -================================================================= - -3491 -real 0m0.375s -user 0m7.194s -sys 0m0.593s - -CPU UTILIZATION: 20.765 / 28 - ------------------------------------------ - -(345): time { frun -U -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.468s -user 0m8.553s -sys 0m1.582s - -CPU UTILIZATION: 21.655 / 28 - ------------------------------------------ - -(346): time { frun -U -X printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 654 assigned | 647 processed | 32 I stole | 39 stolen from me -Node 1 (Phys 1): 632 assigned | 613 processed | 29 I stole | 48 stolen from me -Node 2 (Phys 2): 628 assigned | 637 processed | 45 I stole | 36 stolen from me -Node 3 (Phys 3): 648 assigned | 665 processed | 41 I stole | 24 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 147 chunks (5.7%) -================================================================= - -real 0m0.440s -user 0m8.420s -sys 0m1.589s - -CPU UTILIZATION: 22.747 / 28 - ------------------------------------------ - -(348): time { cat f3 | frun -U -X printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 686 assigned | 663 processed | 40 I stole | 63 stolen from me -Node 1 (Phys 1): 625 assigned | 634 processed | 62 I stole | 53 stolen from me -Node 2 (Phys 2): 645 assigned | 656 processed | 57 I stole | 46 stolen from me -Node 3 (Phys 3): 606 assigned | 609 processed | 59 I stole | 56 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 218 chunks (8.5%) -================================================================= - -2168851 -real 0m0.444s -user 0m8.395s -sys 0m1.618s - -CPU UTILIZATION: 22.551 / 28 - ------------------------------------------ - -(349): time { frun -U -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.395s -user 0m7.187s -sys 0m0.531s - -CPU UTILIZATION: 19.539 / 28 - ------------------------------------------ - -(350): time { frun -U -X -l 1:-1 true /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 684 assigned | 646 processed | 52 I stole | 90 stolen from me -Node 1 (Phys 1): 633 assigned | 638 processed | 71 I stole | 66 stolen from me -Node 2 (Phys 2): 583 assigned | 630 processed | 94 I stole | 47 stolen from me -Node 3 (Phys 3): 662 assigned | 648 processed | 54 I stole | 68 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 271 chunks (10.6%) -================================================================= - -real 0m0.349s -user 0m7.031s -sys 0m0.408s - -CPU UTILIZATION: 21.315 / 28 - ------------------------------------------ - -(352): time { cat f3 | frun -U -X -l 1:-1 true | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 649 assigned | 643 processed | 61 I stole | 67 stolen from me -Node 1 (Phys 1): 612 assigned | 615 processed | 76 I stole | 73 stolen from me -Node 2 (Phys 2): 665 assigned | 646 processed | 51 I stole | 70 stolen from me -Node 3 (Phys 3): 636 assigned | 658 processed | 81 I stole | 59 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 269 chunks (10.5%) -================================================================= - -0 -real 0m0.348s -user 0m6.903s -sys 0m0.397s - -CPU UTILIZATION: 20.977 / 28 - ------------------------------------------ - -(353): time { frun -U -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.399s -user 0m7.625s -sys 0m0.589s - -CPU UTILIZATION: 20.586 / 28 - ------------------------------------------ - -(354): time { frun -U -X -l 1:-1 echo /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 640 assigned | 624 processed | 47 I stole | 63 stolen from me -Node 1 (Phys 1): 672 assigned | 664 processed | 47 I stole | 55 stolen from me -Node 2 (Phys 2): 629 assigned | 644 processed | 60 I stole | 45 stolen from me -Node 3 (Phys 3): 621 assigned | 630 processed | 50 I stole | 41 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 204 chunks (8.0%) -================================================================= - -real 0m0.366s -user 0m7.372s -sys 0m0.557s - -CPU UTILIZATION: 21.663 / 28 - ------------------------------------------ - -(356): time { cat f3 | frun -U -X -l 1:-1 echo | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 718 assigned | 703 processed | 87 I stole | 102 stolen from me -Node 1 (Phys 1): 639 assigned | 641 processed | 70 I stole | 68 stolen from me -Node 2 (Phys 2): 593 assigned | 586 processed | 74 I stole | 81 stolen from me -Node 3 (Phys 3): 612 assigned | 632 processed | 100 I stole | 80 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 331 chunks (12.9%) -================================================================= - -3459 -real 0m0.368s -user 0m7.349s -sys 0m0.590s - -CPU UTILIZATION: 21.573 / 28 - ------------------------------------------ - -(357): time { frun -U -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.493s -user 0m8.500s -sys 0m1.664s - -CPU UTILIZATION: 20.616 / 28 - ------------------------------------------ - -(358): time { frun -U -X -l 1:-1 printf %s\n /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 644 assigned | 668 processed | 65 I stole | 41 stolen from me -Node 1 (Phys 1): 614 assigned | 615 processed | 59 I stole | 58 stolen from me -Node 2 (Phys 2): 665 assigned | 646 processed | 36 I stole | 55 stolen from me -Node 3 (Phys 3): 639 assigned | 633 processed | 50 I stole | 56 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 210 chunks (8.2%) -================================================================= - -real 0m0.447s -user 0m8.392s -sys 0m1.600s - -CPU UTILIZATION: 22.353 / 28 - ------------------------------------------ - -(360): time { cat f3 | frun -U -X -l 1:-1 printf %s\n | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 677 assigned | 665 processed | 44 I stole | 56 stolen from me -Node 1 (Phys 1): 619 assigned | 601 processed | 45 I stole | 63 stolen from me -Node 2 (Phys 2): 617 assigned | 640 processed | 58 I stole | 35 stolen from me -Node 3 (Phys 3): 649 assigned | 656 processed | 54 I stole | 47 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 201 chunks (7.8%) -================================================================= - -2168851 -real 0m0.440s -user 0m8.372s -sys 0m1.613s - -CPU UTILIZATION: 22.693 / 28 - ------------------------------------------ - -(361): time { frun -s : /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.140s -user 0m0.156s -sys 0m0.284s - -CPU UTILIZATION: 3.142 / 28 - ------------------------------------------ - -(362): time { frun -s : /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 661 assigned | 660 processed | 0 I stole | 1 stolen from me -Node 1 (Phys 1): 607 assigned | 605 processed | 0 I stole | 2 stolen from me -Node 2 (Phys 2): 655 assigned | 660 processed | 5 I stole | 0 stolen from me -Node 3 (Phys 3): 639 assigned | 637 processed | 0 I stole | 2 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 5 chunks (0.2%) -================================================================= - -real 0m0.169s -user 0m0.502s -sys 0m0.581s - -CPU UTILIZATION: 6.408 / 28 - ------------------------------------------ - -(364): time { cat f3 | frun -s : | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 669 assigned | 677 processed | 8 I stole | 0 stolen from me -Node 1 (Phys 1): 643 assigned | 638 processed | 0 I stole | 5 stolen from me -Node 2 (Phys 2): 646 assigned | 647 processed | 2 I stole | 1 stolen from me -Node 3 (Phys 3): 604 assigned | 600 processed | 0 I stole | 4 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 10 chunks (0.4%) -================================================================= - -0 -real 0m0.165s -user 0m0.475s -sys 0m0.573s - -CPU UTILIZATION: 6.351 / 28 - ------------------------------------------ - -(365): time { frun -s cat /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 22 assigned | 22 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.152s -user 0m0.691s -sys 0m0.868s - -CPU UTILIZATION: 10.256 / 28 - ------------------------------------------ - -(366): time { frun -s cat /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 658 assigned | 660 processed | 3 I stole | 1 stolen from me -Node 1 (Phys 1): 640 assigned | 643 processed | 3 I stole | 0 stolen from me -Node 2 (Phys 2): 630 assigned | 626 processed | 0 I stole | 4 stolen from me -Node 3 (Phys 3): 634 assigned | 633 processed | 3 I stole | 4 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 9 chunks (0.4%) -================================================================= - -real 0m0.221s -user 0m1.559s -sys 0m1.594s - -CPU UTILIZATION: 14.266 / 28 - ------------------------------------------ - -(368): time { cat f3 | frun -s cat | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 661 assigned | 659 processed | 3 I stole | 5 stolen from me -Node 1 (Phys 1): 633 assigned | 638 processed | 6 I stole | 1 stolen from me -Node 2 (Phys 2): 650 assigned | 655 processed | 5 I stole | 0 stolen from me -Node 3 (Phys 3): 618 assigned | 610 processed | 0 I stole | 8 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 14 chunks (0.5%) -================================================================= - -2113621 -real 0m0.224s -user 0m1.587s -sys 0m1.653s - -CPU UTILIZATION: 14.464 / 28 - ------------------------------------------ - -(369): time { frun -s tee /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 23 assigned | 23 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 20 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 20 assigned | 21 processed | 1 I stole | 0 stolen from me -Node 3 (Phys 3): 18 assigned | 18 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (1.2%) -================================================================= - -real 0m0.156s -user 0m0.721s -sys 0m0.855s - -CPU UTILIZATION: 10.102 / 28 - ------------------------------------------ - -(370): time { frun -s tee /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 658 assigned | 662 processed | 6 I stole | 2 stolen from me -Node 1 (Phys 1): 631 assigned | 631 processed | 2 I stole | 2 stolen from me -Node 2 (Phys 2): 653 assigned | 656 processed | 3 I stole | 0 stolen from me -Node 3 (Phys 3): 620 assigned | 613 processed | 1 I stole | 8 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 12 chunks (0.5%) -================================================================= - -real 0m0.229s -user 0m1.576s -sys 0m1.464s - -CPU UTILIZATION: 13.275 / 28 - ------------------------------------------ - -(372): time { cat f3 | frun -s tee | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 663 assigned | 670 processed | 9 I stole | 2 stolen from me -Node 1 (Phys 1): 649 assigned | 656 processed | 7 I stole | 0 stolen from me -Node 2 (Phys 2): 623 assigned | 612 processed | 1 I stole | 12 stolen from me -Node 3 (Phys 3): 627 assigned | 624 processed | 2 I stole | 5 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 19 chunks (0.7%) -================================================================= - -2113621 -real 0m0.225s -user 0m1.589s -sys 0m1.536s - -CPU UTILIZATION: 13.888 / 28 - ------------------------------------------ - -(373): time { frun -b 524288 : /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.135s -user 0m0.052s -sys 0m0.200s - -CPU UTILIZATION: 1.866 / 28 - ------------------------------------------ - -(374): time { frun -b 524288 : /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 654 assigned | 676 processed | 24 I stole | 2 stolen from me -Node 1 (Phys 1): 643 assigned | 632 processed | 2 I stole | 13 stolen from me -Node 2 (Phys 2): 636 assigned | 629 processed | 1 I stole | 8 stolen from me -Node 3 (Phys 3): 629 assigned | 625 processed | 2 I stole | 6 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 29 chunks (1.1%) -================================================================= - -real 0m0.157s -user 0m0.349s -sys 0m0.363s - -CPU UTILIZATION: 4.535 / 28 - ------------------------------------------ - -(376): time { cat f3 | frun -b 524288 : | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 643 assigned | 654 processed | 11 I stole | 0 stolen from me -Node 1 (Phys 1): 639 assigned | 638 processed | 1 I stole | 2 stolen from me -Node 2 (Phys 2): 641 assigned | 634 processed | 0 I stole | 7 stolen from me -Node 3 (Phys 3): 639 assigned | 636 processed | 0 I stole | 3 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 12 chunks (0.5%) -================================================================= - -0 -real 0m0.152s -user 0m0.346s -sys 0m0.375s - -CPU UTILIZATION: 4.743 / 28 - ------------------------------------------ - -(377): time { frun -b 524288 cat /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.135s -user 0m0.146s -sys 0m0.333s - -CPU UTILIZATION: 3.548 / 28 - ------------------------------------------ - -(378): time { frun -b 524288 cat /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 632 assigned | 635 processed | 4 I stole | 1 stolen from me -Node 1 (Phys 1): 643 assigned | 645 processed | 4 I stole | 2 stolen from me -Node 2 (Phys 2): 645 assigned | 643 processed | 0 I stole | 2 stolen from me -Node 3 (Phys 3): 642 assigned | 639 processed | 0 I stole | 3 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 8 chunks (0.3%) -================================================================= - -real 0m0.203s -user 0m0.924s -sys 0m0.901s - -CPU UTILIZATION: 8.990 / 28 - ------------------------------------------ - -(380): time { cat f3 | frun -b 524288 cat | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 648 assigned | 649 processed | 4 I stole | 3 stolen from me -Node 1 (Phys 1): 642 assigned | 643 processed | 4 I stole | 3 stolen from me -Node 2 (Phys 2): 637 assigned | 636 processed | 2 I stole | 3 stolen from me -Node 3 (Phys 3): 635 assigned | 634 processed | 1 I stole | 2 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 11 chunks (0.4%) -================================================================= - -2113621 -real 0m0.202s -user 0m0.928s -sys 0m0.969s - -CPU UTILIZATION: 9.391 / 28 - ------------------------------------------ - -(381): time { frun -b 524288 tee /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.135s -user 0m0.158s -sys 0m0.292s - -CPU UTILIZATION: 3.333 / 28 - ------------------------------------------ - -(382): time { frun -b 524288 tee /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 652 assigned | 652 processed | 4 I stole | 4 stolen from me -Node 1 (Phys 1): 644 assigned | 647 processed | 5 I stole | 2 stolen from me -Node 2 (Phys 2): 638 assigned | 634 processed | 1 I stole | 5 stolen from me -Node 3 (Phys 3): 628 assigned | 629 processed | 3 I stole | 2 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 13 chunks (0.5%) -================================================================= - -real 0m0.192s -user 0m0.910s -sys 0m0.851s - -CPU UTILIZATION: 9.171 / 28 - ------------------------------------------ - -(384): time { cat f3 | frun -b 524288 tee | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 649 assigned | 650 processed | 3 I stole | 2 stolen from me -Node 1 (Phys 1): 641 assigned | 640 processed | 2 I stole | 3 stolen from me -Node 2 (Phys 2): 635 assigned | 635 processed | 2 I stole | 2 stolen from me -Node 3 (Phys 3): 637 assigned | 637 processed | 2 I stole | 2 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 9 chunks (0.4%) -================================================================= - -2113621 -real 0m0.193s -user 0m0.939s -sys 0m0.903s - -CPU UTILIZATION: 9.544 / 28 - ------------------------------------------ - -(385): time { frun -b4096 -s : /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 19 assigned | 19 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m0.218s -user 0m2.775s -sys 0m1.125s - -CPU UTILIZATION: 17.889 / 28 - ------------------------------------------ - -(386): time { frun -b4096 -s : /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 687 assigned | 687 processed | 28 I stole | 28 stolen from me -Node 1 (Phys 1): 642 assigned | 625 processed | 20 I stole | 37 stolen from me -Node 2 (Phys 2): 610 assigned | 629 processed | 36 I stole | 17 stolen from me -Node 3 (Phys 3): 623 assigned | 621 processed | 24 I stole | 26 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 108 chunks (4.2%) -================================================================= - -real 0m0.247s -user 0m2.742s -sys 0m1.378s - -CPU UTILIZATION: 16.680 / 28 - ------------------------------------------ - -(388): time { cat f3 | frun -b4096 -s : | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 641 assigned | 647 processed | 42 I stole | 36 stolen from me -Node 1 (Phys 1): 628 assigned | 613 processed | 31 I stole | 46 stolen from me -Node 2 (Phys 2): 655 assigned | 662 processed | 42 I stole | 35 stolen from me -Node 3 (Phys 3): 638 assigned | 640 processed | 34 I stole | 32 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 149 chunks (5.8%) -================================================================= - -0 -real 0m0.259s -user 0m2.775s -sys 0m1.459s - -CPU UTILIZATION: 16.347 / 28 - ------------------------------------------ - -(389): time { frun -b4096 -s cat /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.166s -user 0m14.618s -sys 0m11.714s - -CPU UTILIZATION: 22.583 / 28 - ------------------------------------------ - -(390): time { frun -b4096 -s cat /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 643 assigned | 643 processed | 1 I stole | 1 stolen from me -Node 1 (Phys 1): 644 assigned | 643 processed | 0 I stole | 1 stolen from me -Node 2 (Phys 2): 636 assigned | 636 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 639 assigned | 640 processed | 1 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 2 chunks (0.1%) -================================================================= - -real 0m1.156s -user 0m14.541s -sys 0m12.103s - -CPU UTILIZATION: 23.048 / 28 - ------------------------------------------ - -(392): time { cat f3 | frun -b4096 -s cat | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 640 assigned | 640 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 644 assigned | 645 processed | 1 I stole | 0 stolen from me -Node 2 (Phys 2): 640 assigned | 640 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 638 assigned | 637 processed | 0 I stole | 1 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 1 chunks (0.0%) -================================================================= - -2113621 -real 0m1.158s -user 0m14.730s -sys 0m12.207s - -CPU UTILIZATION: 23.261 / 28 - ------------------------------------------ - -(393): time { frun -b4096 -s tee /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 1 (Phys 1): 21 assigned | 21 processed | 0 I stole | 0 stolen from me -Node 2 (Phys 2): 20 assigned | 20 processed | 0 I stole | 0 stolen from me -Node 3 (Phys 3): 20 assigned | 20 processed | 0 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 0 chunks (0.0%) -================================================================= - -real 0m1.130s -user 0m14.526s -sys 0m11.591s - -CPU UTILIZATION: 23.112 / 28 - ------------------------------------------ - -(394): time { frun -b4096 -s tee /dev/null; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 638 assigned | 640 processed | 2 I stole | 0 stolen from me -Node 1 (Phys 1): 642 assigned | 642 processed | 1 I stole | 1 stolen from me -Node 2 (Phys 2): 642 assigned | 641 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 640 assigned | 639 processed | 0 I stole | 1 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 3 chunks (0.1%) -================================================================= - -real 0m1.132s -user 0m14.616s -sys 0m11.689s - -CPU UTILIZATION: 23.237 / 28 - ------------------------------------------ - -(396): time { cat f3 | frun -b4096 -s tee | wc -l; } - -================================================================= -NUMA TELEMETRY (CHUNKS) -================================================================= -Node 0 (Phys 0): 639 assigned | 640 processed | 2 I stole | 1 stolen from me -Node 1 (Phys 1): 644 assigned | 643 processed | 1 I stole | 2 stolen from me -Node 2 (Phys 2): 639 assigned | 638 processed | 0 I stole | 1 stolen from me -Node 3 (Phys 3): 640 assigned | 641 processed | 1 I stole | 0 stolen from me ------------------------------------------------------------------ -Total Cross-Socket Traffic: 4 chunks (0.2%) -================================================================= - -2113621 -real 0m1.136s -user 0m14.675s -sys 0m11.849s - -CPU UTILIZATION: 23.348 / 28 - ------------------------------------------ - - ------------------------------ -INPUT DATA STATS - - - -NAME: f1 -SIZE: 100000000 bytes -LINE COUNT: 100000000 lines - - -NAME: f2 -SIZE: 888888898 bytes -LINE COUNT: 100000000 lines - - -NAME: f3 -SIZE: 167808321 bytes -LINE COUNT: 2113621 lines - -total sys = 4334018 ms - -total user = 7367140 ms - -total real = 480803 ms - - -OVERALL CPU UTILIZATION: 24.336 / 28 - diff --git a/UNIT_TESTS/c_plugin_test/forkrun_plugin.h b/UNIT_TESTS/c_plugin_test/forkrun_plugin.h new file mode 100755 index 00000000..59459faf --- /dev/null +++ b/UNIT_TESTS/c_plugin_test/forkrun_plugin.h @@ -0,0 +1,36 @@ +// forkrun_plugin.h +#ifndef FORKRUN_PLUGIN_H +#define FORKRUN_PLUGIN_H + +#include + +// Opt-in flag: define this in exactly ONE of your C files to receive the context +// int forkrun_use_ctx = 1; + +struct forkrun_ctx { + uint64_t batch_index; // global batch sequence number + uint64_t batch_offset; // byte offset in input stream + uint64_t batch_byte_length; // length of current batch in bytes + uint32_t version; // struct version, currently 1 + uint32_t worker_id; // internal worker ID + uint32_t node_id; // NUMA node ID + uint32_t num_kills; // retry count for this batch (if failure recovery active) + uint32_t numa_major; // NUMA major sequence (0 if not NUMA) + uint32_t numa_minor; // NUMA minor sequence (0 if not NUMA) + int32_t fd_in; // input memfd file descriptor + char delimiter; // batch delimiter character + uint8_t cfg_state[3]; // global configuration state +}; + + +/* === FUNCTION DEFINITION TEMPLATES === + * + * 1. Standard Fast Path (2-arg): + * int my_func(int argc, char **argv) { ... } + * + * 2. Context-Aware Path (3-arg): + * int forkrun_use_ctx = 1; + * int my_func(int argc, char **argv, const struct forkrun_ctx *ctx) { ... } + */ + +#endif // FORKRUN_PLUGIN_H diff --git a/UNIT_TESTS/c_plugin_test/plugin_ctx_math.c b/UNIT_TESTS/c_plugin_test/plugin_ctx_math.c new file mode 100644 index 00000000..d4a7809e --- /dev/null +++ b/UNIT_TESTS/c_plugin_test/plugin_ctx_math.c @@ -0,0 +1,9 @@ +#include +#include "forkrun_plugin.h" +int forkrun_use_ctx = 1; + +int plugin_ctx_math(int argc, char **argv, void *ctx_ptr) { + struct forkrun_ctx *ctx = (struct forkrun_ctx *)ctx_ptr; + printf("%lu\n", ctx->batch_byte_length); + return 0; +} diff --git a/UNIT_TESTS/c_plugin_test/plugin_ctx_math.so b/UNIT_TESTS/c_plugin_test/plugin_ctx_math.so new file mode 100755 index 00000000..70b60066 Binary files /dev/null and b/UNIT_TESTS/c_plugin_test/plugin_ctx_math.so differ diff --git a/UNIT_TESTS/c_plugin_test/plugin_echo.c b/UNIT_TESTS/c_plugin_test/plugin_echo.c new file mode 100644 index 00000000..c22cca4a --- /dev/null +++ b/UNIT_TESTS/c_plugin_test/plugin_echo.c @@ -0,0 +1,5 @@ +#include +int plugin_echo(int argc, char **argv) { + for (int i = 0; i < argc; i++) printf("%s\n", argv[i]); + return 0; +} diff --git a/UNIT_TESTS/c_plugin_test/plugin_echo.so b/UNIT_TESTS/c_plugin_test/plugin_echo.so new file mode 100755 index 00000000..8dabd419 Binary files /dev/null and b/UNIT_TESTS/c_plugin_test/plugin_echo.so differ diff --git a/UNIT_TESTS/c_plugin_test/plugin_poison.c b/UNIT_TESTS/c_plugin_test/plugin_poison.c new file mode 100644 index 00000000..8587dc87 --- /dev/null +++ b/UNIT_TESTS/c_plugin_test/plugin_poison.c @@ -0,0 +1,16 @@ +#include +#include "forkrun_plugin.h" +int forkrun_use_ctx = 1; + +int plugin_poison(int argc, char **argv, void *ctx_ptr) { + struct forkrun_ctx *ctx = (struct forkrun_ctx *)ctx_ptr; + + // Simulate a segfault/crash on batch index 7, ONLY on the first attempt + if (ctx->batch_index == 7 && ctx->num_kills == 0) { + return 1; // Trigger failure! + } + + // On retry (num_kills > 0) or normal batches, process normally + for (int i = 0; i < argc; i++) printf("%s\n", argv[i]); + return 0; +} diff --git a/UNIT_TESTS/c_plugin_test/plugin_poison.so b/UNIT_TESTS/c_plugin_test/plugin_poison.so new file mode 100755 index 00000000..87b6180e Binary files /dev/null and b/UNIT_TESTS/c_plugin_test/plugin_poison.so differ diff --git a/UNIT_TESTS/c_plugin_test/test_basic.c b/UNIT_TESTS/c_plugin_test/test_basic.c new file mode 100644 index 00000000..2d9fcdce --- /dev/null +++ b/UNIT_TESTS/c_plugin_test/test_basic.c @@ -0,0 +1,9 @@ +#include +#include + +int test_basic(int argc, char **argv) { + size_t total = 0; + for (int i = 0; i < argc; i++) total += strlen(argv[i]); + printf("BASIC: batch_size=%d total_chars=%zu\n", argc, total); + return 0; +} diff --git a/UNIT_TESTS/c_plugin_test/test_basic.so b/UNIT_TESTS/c_plugin_test/test_basic.so new file mode 100755 index 00000000..5723d152 Binary files /dev/null and b/UNIT_TESTS/c_plugin_test/test_basic.so differ diff --git a/UNIT_TESTS/c_plugin_test/test_ctx_header.c b/UNIT_TESTS/c_plugin_test/test_ctx_header.c new file mode 100644 index 00000000..8d9dc94d --- /dev/null +++ b/UNIT_TESTS/c_plugin_test/test_ctx_header.c @@ -0,0 +1,13 @@ +#include +#include "forkrun_plugin.h" + +int forkrun_use_ctx = 1; + +int test_ctx_header(int argc, char **argv, const struct forkrun_ctx *ctx) { + if (ctx && ctx->version >= 1) { + printf("CTX_HEADER: batch=%lu worker=%u node=%u retries=%u bytes=%lu\n", + ctx->batch_index, ctx->worker_id, ctx->node_id, + ctx->num_kills, ctx->batch_byte_length); + } + return 0; +} diff --git a/UNIT_TESTS/c_plugin_test/test_ctx_header.so b/UNIT_TESTS/c_plugin_test/test_ctx_header.so new file mode 100755 index 00000000..6fc94fba Binary files /dev/null and b/UNIT_TESTS/c_plugin_test/test_ctx_header.so differ diff --git a/UNIT_TESTS/c_plugin_test/test_ctx_naked.c b/UNIT_TESTS/c_plugin_test/test_ctx_naked.c new file mode 100644 index 00000000..21700c9c --- /dev/null +++ b/UNIT_TESTS/c_plugin_test/test_ctx_naked.c @@ -0,0 +1,28 @@ +#include +#include + +int forkrun_use_ctx = 1; + +struct forkrun_ctx { + uint64_t batch_index; + uint64_t batch_offset; + uint64_t batch_byte_length; + uint32_t version; + uint32_t worker_id; + uint32_t node_id; + uint32_t num_kills; + uint32_t numa_major; + uint32_t numa_minor; + int32_t fd_in; + char delimiter; + char _pad[3]; +}; + +int test_ctx_naked(int argc, char **argv, const struct forkrun_ctx *ctx) { + if (ctx && ctx->version >= 1) { + printf("CTX_NAKED: batch=%lu worker=%u node=%u retries=%u bytes=%lu\n", + ctx->batch_index, ctx->worker_id, ctx->node_id, ctx->num_kills, + ctx->batch_byte_length); + } + return 0; +} diff --git a/UNIT_TESTS/c_plugin_test/test_ctx_naked.so b/UNIT_TESTS/c_plugin_test/test_ctx_naked.so new file mode 100755 index 00000000..b0907277 Binary files /dev/null and b/UNIT_TESTS/c_plugin_test/test_ctx_naked.so differ diff --git a/forkrun_ring.c b/forkrun_ring.c index 2947e6b1..c5c96b2f 100644 --- a/forkrun_ring.c +++ b/forkrun_ring.c @@ -332,11 +332,12 @@ static inline char *try_simd_scan(char *p, char *safe_end, uint64_t target, __ATOMIC_RELAXED) #define PUBLISH_BATCH_SIZE(ptr, new_L) do { \ - int64_t _cur = atomic_load_relaxed(&(ptr)->signed_batch_size); \ - int64_t _abs = (_cur < 0) ? -_cur : _cur; \ + uint64_t _r_idx = atomic_load_relaxed(&(ptr)->read_idx); \ + uint16_t _cur_stride = (ptr)->stride_ring[_r_idx & RING_MASK] & STRIDE_MASK; \ + int64_t _abs = _cur_stride ? _cur_stride : 1; \ atomic_store_release(&(ptr)->batch_change_idx, local_scan_idx); \ atomic_store_release(&(ptr)->signed_batch_size, \ - ((int64_t)(new_L) > _abs * 2) ? -(int64_t)(new_L) : (int64_t)(new_L)); \ + ((int64_t)(new_L) >= _abs * 2) ? -(int64_t)(new_L) : (int64_t)(new_L)); \ } while(0) #ifndef GIT_HASH @@ -475,7 +476,7 @@ static __thread size_t tls_argv_cap = 0; // Shared tokenizer core. // If `arr` is non-NULL, it populates the Bash array. // If `arr` is NULL, it populates `tls_argv` starting at `fixed_argc`. -static int do_tokenize(int fd, size_t length, char delim, SHELL_VAR *arr, int fixed_argc, size_t *out_batch_argc) { +static int do_tokenize(int fd, size_t length, off_t offset, char delim, SHELL_VAR *arr, int fixed_argc, size_t *out_batch_argc) { if (length == 0) { if (out_batch_argc) *out_batch_argc = 0; return EXECUTION_SUCCESS; @@ -494,7 +495,7 @@ static int do_tokenize(int fd, size_t length, char delim, SHELL_VAR *arr, int fi size_t total_read = 0; while (total_read < length) { - ssize_t n = pread(fd, tls_map_buf + total_read, length - total_read, tls_batch_offset + total_read); + ssize_t n = pread(fd, tls_map_buf + total_read, length - total_read, offset + total_read); if (n < 0) { if (errno == EINTR) continue; return EXECUTION_FAILURE; @@ -502,7 +503,7 @@ static int do_tokenize(int fd, size_t length, char delim, SHELL_VAR *arr, int fi if (n == 0) break; // EOF reached before expected length total_read += n; } - + // If we couldn't fulfill the exact claimed length, the batch is broken. if (total_read < length) return EXECUTION_FAILURE; @@ -566,37 +567,37 @@ static int ring_map_main(int argc, char **argv) { if (find_variable(arr_name)) { unbind_variable(arr_name); } - + SHELL_VAR *v = make_new_array_variable(arr_name); if (!v) return EXECUTION_FAILURE; - return do_tokenize(fd, length, delim, v, 0, NULL); + return do_tokenize(fd, length, tls_batch_offset, delim, v, 0, NULL); } // Returns 0 (true) if safe to execute directly via posix_spawnp (Binary or Shebang) // Returns 1 (false) if it is a text script without a shebang (needs Bash AST parsing) static int ring_is_spawnable_main(int argc, char **argv) { if (argc < 2) return EXECUTION_FAILURE; - + int fd = open(argv[1], O_RDONLY); if (fd < 0) return EXECUTION_FAILURE; // File not found/unreadable -> Let Bash handle it - + unsigned char buf[1024]; ssize_t n = read(fd, buf, sizeof(buf)); close(fd); - + if (n <= 0) return EXECUTION_FAILURE; - + // 1. Shebang: The kernel handles this perfectly via binfmt_script if (n >= 2 && buf[0] == '#' && buf[1] == '!') return EXECUTION_SUCCESS; - + // 2. Binary Heuristic: Any file containing a NULL byte in the first 1KB is a compiled binary. // Text scripts cannot contain NULL bytes. This catches ELF, Mach-O, WASM, etc., instantly. for (ssize_t i = 0; i < n; i++) { if (buf[i] == '\0') return EXECUTION_SUCCESS; } - - // 3. Pure text without a shebang. + + // 3. Pure text without a shebang. // posix_spawnp might choke or pass it to /bin/sh (breaking Bashisms). // Return failure to enforce ring_map fallback! return EXECUTION_FAILURE; @@ -612,7 +613,7 @@ static int ring_exec_main(int argc, char **argv) { int fd = atoi(argv[1]); size_t length = (size_t)atoll(argv[2]); char delim = argv[3][0]; - + int fixed_argc = argc - 4; // 1. Ensure baseline capacity for fixed arguments @@ -630,7 +631,7 @@ static int ring_exec_main(int argc, char **argv) { // 3. Tokenize batch directly into tls_argv size_t batch_argc = 0; - int ret = do_tokenize(fd, length, delim, NULL, fixed_argc, &batch_argc); + int ret = do_tokenize(fd, length, tls_batch_offset, delim, NULL, fixed_argc, &batch_argc); if (ret != EXECUTION_SUCCESS) return ret; // 4. Terminate argv array for execve @@ -698,7 +699,7 @@ static int ring_exec_splice_main(int argc, char **argv) { // 2. Create the pipe int pfd[2]; if (pipe(pfd) != 0) return EXECUTION_FAILURE; - + // Optional: Maximize pipe buffer size for throughput fcntl(pfd[1], F_SETPIPE_SZ, 1048576); @@ -726,7 +727,7 @@ static int ring_exec_splice_main(int argc, char **argv) { if (ret == 0) { // IGNORE SIGPIPE so 'head -n' doesn't kill the worker! void (*old_handler)(int) = signal(SIGPIPE, SIG_IGN); - + size_t written = 0; off_t offset = tls_batch_offset; while (written < length) { @@ -738,11 +739,11 @@ static int ring_exec_splice_main(int argc, char **argv) { if (s == 0) break; written += s; } - + // Restore previous SIGPIPE handler signal(SIGPIPE, old_handler); } - + // 8. Close the write end to send EOF to the child close(pfd[1]); @@ -1073,7 +1074,22 @@ static __thread uint32_t worker_last_num_kills = 0; static __thread uint64_t tl_remainder_idx = 0; static __thread uint64_t tl_remainder_cnt = 0; static __thread uint32_t tl_remainder_kills = 0; -static __thread bool tl_recently_escrowed = false; +static __thread bool tl_drain_escrow = true; + +// ------------------------------------------------------------------ +// WorkerBatchState: Pure value struct returned by do_lockfree_claim. +// Contains everything ring_claim_main needs to bind Bash variables, +// without any side-effects during the claim itself. +// ------------------------------------------------------------------ +struct WorkerBatchState { + uint64_t idx; + uint64_t cnt; + uint32_t num_kills; + uint64_t offset; + uint64_t length; + uint32_t major; + uint32_t minor; +}; static int *evfd_data_arr = NULL; static int *evfd_eof_arr = NULL; @@ -1221,6 +1237,7 @@ struct SharedState { uint64_t cfg_chunk_bytes; uint64_t cfg_line_max; int64_t cfg_timeout_us; + uint32_t speculative_max_claim; uint8_t mode_byte; uint8_t fixed_workers; uint8_t fixed_batch; @@ -1841,6 +1858,7 @@ static int ring_init_main(int argc, char **argv) { state[n].cfg_w_start = w_start_balanced; state[n].cfg_w_max = w_max_balanced; + state[n].speculative_max_claim = (w_max_balanced > 32) ? 32 : (uint32_t)w_max_balanced; state[n].mode_byte = byte_mode ? 1 : 0; state[n].numa_enabled = (global_num_nodes > 1) ? 1 : 0; state[n].exact_lines = parsed_exact_lines; @@ -1939,7 +1957,7 @@ static int ring_init_main(int argc, char **argv) { eventfd(0, EFD_CLOEXEC | EFD_NONBLOCK | EFD_SEMAPHORE); evfd_meta_arr[n] = eventfd(0, EFD_CLOEXEC | EFD_NONBLOCK | EFD_SEMAPHORE); - if (evfd_data_arr[n] < 0 || evfd_eof_arr[n] < 0 || + if (evfd_data_arr[n] < 0 || evfd_eof_arr[n] < 0 || evfd_indexer_arr[n] < 0 || evfd_meta_arr[n] < 0) { builtin_error("forkrun: eventfd creation failed (FD limit reached?)"); ring_destroy_main(0, NULL); @@ -3955,47 +3973,24 @@ static int ring_numa_scanner_main(int argc, char **argv) { // 7. CONSUMERS (Claim, Ack, Order) // ============================================================================== -// Workers Claiming Data (Inertial Particles): -// The fast path is a single lock-free `atomic_fetch_add` to claim a batch of -// records. There are NO CAS retry loops on the fast path. If a worker -// overshoots and claims records that haven't arrived yet (inertia), it -// processes the available ones and deposits the remainder into an escrow pipe -// for other idle workers to steal. Escrow is pure advisory capability; forward -// progress is guaranteed by strictly monotonic indices. -static int ring_claim_main(int argc, char **argv) { - const char *v_target = "REPLY"; - - if (argc >= 2) { - v_target = argv[1]; - } +// ------------------------------------------------------------------ +// do_lockfree_claim: Pure side-effect-free batch claim helper. +// Populates `out` with batch metadata without touching any Bash +// variables. ring_claim_main is the only caller and handles all +// variable binding after the fact. +// +// Returns: +// 0 = success, `out` is populated +// 1 = no data available (non-blocking mode only) +// 2 = EOF — all data consumed, terminate worker +// EXECUTION_FAILURE = emergency abort or fatal error +// +// Precondition: my_numa_node must be initialized by the caller. +// ------------------------------------------------------------------ +static int do_lockfree_claim(struct WorkerBatchState *out, bool blocking) { + if (atomic_load_relaxed(&state[0].emergency_abort)) + return EXECUTION_FAILURE; - if (my_numa_node == -1) { - const char *s_node = get_string_value("RING_NODE_ID"); - if (s_node) { - my_numa_node = atoi(s_node); - } else { - int phys = auto_detect_numa_node(); - my_numa_node = 0; - bool found = false; - if (g_logical_to_phys_map) { - for (uint32_t i = 0; i < global_num_nodes; i++) { - if (g_logical_to_phys_map[i] == (uint32_t)phys) { - my_numa_node = i; - found = true; - break; - } - } - } - if (!found && g_debug && global_num_nodes > 1) { - fprintf(stderr, - "forkrun[DEBUG] Worker on unmapped physical node %d, " - "defaulting to logical 0\n", - phys); - } - } - if (my_numa_node >= (int)global_num_nodes) - my_numa_node = 0; - } struct SharedState *local_state = &state[my_numa_node]; uint64_t my_read_idx; @@ -4003,80 +3998,42 @@ static int ring_claim_main(int argc, char **argv) { uint32_t current_kills = 0; int spin = 0; - // --- UNIVERSAL SIGPIPE / TEARDOWN SHIELD --- - if (state) { - // 1. Did someone else pull the fire alarm? (e.g., ring_order, or Fallow dying) - if (atomic_load_relaxed(&state[0].emergency_abort)) { - return EXECUTION_FAILURE; - } - - // 2. Sentry duty: Check if stdout is broken (Crucial for -u realtime mode) - // We only poll every 64 claims to ensure absolute zero overhead on the fast path. - static __thread int claim_calls = 0; - if ((claim_calls++ & 63) == 0) { - struct pollfd pfd_stdout = {.fd = 1, .events = POLLOUT}; - if (poll(&pfd_stdout, 1, 0) > 0 && (pfd_stdout.revents & (POLLERR | POLLHUP))) { - // The downstream pipe was cut (e.g., head -n 5). Pull the fire alarm! - pull_fire_alarm(); - return EXECUTION_FAILURE; - } - } - } - // ------------------------------------------- - + // TLS remainder fast-path: leftover from a prior boundary split that + // couldn't fit into the escrow pipe. if (tl_remainder_cnt > 0) { my_read_idx = tl_remainder_idx; claim_count = tl_remainder_cnt; current_kills = tl_remainder_kills; tl_remainder_cnt = 0; - goto check_boundaries; + goto dlc_check_boundaries; } -restart_loop: +dlc_restart_loop: - // NEW: ESCROW PRIORITY INVERSION (Head-of-line blocking prevention) - // If this specific worker just dropped a partial batch into escrow, - // it prioritizes getting it back before touching the main ring. - if (tl_recently_escrowed) { - tl_recently_escrowed = false; - if (fd_escrow_r && fd_escrow_r[my_numa_node] >= 0) { - struct EscrowPacket ep; - ssize_t er; - do { - er = read(fd_escrow_r[my_numa_node], &ep, sizeof(ep)); - } while (er < 0 && errno == EINTR); - if (er == sizeof(ep)) { - my_read_idx = ep.idx; - claim_count = ep.cnt; - current_kills = ep.num_kills; - - // --- NEW: Export state --- - char buf[32]; - snprintf(buf, sizeof(buf), "%u", ep.num_kills); - bind_variable("RING_NUM_KILLS", buf, 0); - - int limit = 3; // Default to 3 retries - const char *s_lim = get_string_value("FORKRUN_RETRY_LIMIT"); - if (s_lim) limit = atoi(s_lim); - - // If limit is negative, we allow infinite retries (never poison) - // If limit is >= 0, we poison the batch when kills reaches the limit - if (limit >= 0 && ep.num_kills >= (uint32_t)limit) { - bind_variable("RING_POISONED", "1", 0); - } else { - bind_variable("RING_POISONED", "0", 0); - } - // ------------------------ - - // Safely jump to the write_idx check block. If this is an - // overshoot packet, we MUST wait for the scanner to publish it! - goto evaluate_claim; - } - } + // Escrow continuous drain: vacuums the pipe completely before touching the + // lock-free ring. tl_drain_escrow stays true as long as packets keep + // arriving; only snaps false on EAGAIN (pipe empty). This enforces the + // Priority Inversion invariant more aggressively than the old one-shot flag. + if (tl_drain_escrow && fd_escrow_r && fd_escrow_r[my_numa_node] >= 0) { + struct EscrowPacket ep; + ssize_t er; + do { + er = read(fd_escrow_r[my_numa_node], &ep, sizeof(ep)); + } while (er < 0 && errno == EINTR); + if (er == sizeof(ep)) { + my_read_idx = ep.idx; + claim_count = ep.cnt; + current_kills = ep.num_kills; + // Do NOT clear tl_drain_escrow here — keep draining until pipe is empty. + goto dlc_evaluate_claim; + } else if (er < 0 && (errno == EAGAIN || errno == EWOULDBLOCK)) { + // Pipe fully drained. Snap back to zero-overhead fast path. + tl_drain_escrow = false; + } } while (1) { - // 1. Ring check FIRST (Local Work) + // 1. Ring check (Local Work) uint64_t w_snap = atomic_load_acquire(&local_state->write_idx); uint64_t r_curr = atomic_load_relaxed(&local_state->read_idx); @@ -4087,12 +4044,19 @@ static int ring_claim_main(int argc, char **argv) { uint64_t t_start = atomic_load_acquire(&local_state->tail_idx); if (t_start != 0 && r_curr >= t_start) { claim_count = 1; - if (sbatch < 0) { - int64_t abs_L = -sbatch; - atomic_store_relaxed(&local_state->signed_batch_size, abs_L); - } + int64_t abs_L = -sbatch; + atomic_store_relaxed(&local_state->signed_batch_size, abs_L); } else { - claim_count = 1; + uint32_t cur_stride = local_state->stride_ring[r_curr & RING_MASK] & STRIDE_MASK; + if (cur_stride == 0) cur_stride = 1; + + claim_count = (uint64_t)(-sbatch) / cur_stride; + + if (claim_count < 1) { + claim_count = 1; + } else if (claim_count > local_state->speculative_max_claim) { + claim_count = local_state->speculative_max_claim; + } } } @@ -4100,7 +4064,7 @@ static int ring_claim_main(int argc, char **argv) { claim_count = w_snap - r_curr; if (claim_count > 1) { - uint64_t safe_count = claim_count; // <--- CRITICAL FIX: Default to full claim + uint64_t safe_count = claim_count; for (uint64_t i = 0; i < claim_count; i++) { if (local_state->stride_ring[(r_curr + i) & RING_MASK] & FLAG_CHUNK_BOUNDARY) { @@ -4114,7 +4078,6 @@ static int ring_claim_main(int argc, char **argv) { my_read_idx = __atomic_fetch_add(&local_state->read_idx, claim_count, __ATOMIC_SEQ_CST); - // --- NEW: Export state --- if (!local_state->numa_enabled) { int64_t sbatch_check = atomic_load_relaxed(&local_state->signed_batch_size); @@ -4130,7 +4093,7 @@ static int ring_claim_main(int argc, char **argv) { break; } - // 2. Escrow check SECOND (Non-Local Work) + // 2. Escrow check (Non-Local Work) if (fd_escrow_r && fd_escrow_r[my_numa_node] >= 0) { struct EscrowPacket ep; ssize_t er; @@ -4141,54 +4104,29 @@ static int ring_claim_main(int argc, char **argv) { my_read_idx = ep.idx; claim_count = ep.cnt; current_kills = ep.num_kills; - - // --- NEW: Export state --- - char buf[32]; - snprintf(buf, sizeof(buf), "%u", ep.num_kills); - bind_variable("RING_NUM_KILLS", buf, 0); - - u64toa(ep.idx, buf); - bind_variable("RING_BATCH_IDX", buf, 0); - - int limit = 3; // Default to 3 retries - const char *s_lim = get_string_value("FORKRUN_RETRY_LIMIT"); - if (s_lim) limit = atoi(s_lim); - - // If limit is negative, we allow infinite retries (never poison) - // If limit is >= 0, we poison the batch when kills reaches the limit - if (limit >= 0 && ep.num_kills >= (uint32_t)limit) { - bind_variable("RING_POISONED", "1", 0); - } else { - bind_variable("RING_POISONED", "0", 0); - } - // ------------------------ - break; } } - // 3. Scanner finished check THIRD (The 3 Sequential Conditions for EOF) - // CONDITION 1: Has the supplier declared EOF permanently? + // 3. Scanner finished check (The 3 Sequential Conditions for EOF) if (atomic_load_acquire(&local_state->scanner_finished)) { - - // CONDITION 2: Re-verify local work is empty AFTER observing Supplier EOF if (atomic_load_acquire(&local_state->read_idx) < atomic_load_acquire(&local_state->write_idx)) { continue; } - - // CONDITION 3: Re-verify non-local work (Escrow) is empty AFTER Cond 1 & 2 if (fd_escrow_r && fd_escrow_r[my_numa_node] >= 0) { struct pollfd pfd = {.fd = fd_escrow_r[my_numa_node], .events = POLLIN}; if (poll(&pfd, 1, 0) > 0 && (pfd.revents & POLLIN)) { continue; } } - - // All 3 physical conditions are met in order. Consensus achieved. Terminate. + // All 3 physical conditions met in order. Consensus achieved. Terminate. return 2; } + // Non-blocking mode: return immediately if no data is available now. + if (!blocking) return 1; + // 4. Spin if (spin < 100) { cpu_relax(); @@ -4196,11 +4134,10 @@ static int ring_claim_main(int argc, char **argv) { continue; } - // 5. Poll + // 5. Poll (3-way simultaneous: local data evfd, escrow pipe, EOF evfd) __atomic_fetch_add(&local_state->active_waiters, 1, __ATOMIC_SEQ_CST); is_waiting_on_ring = true; - // RULE: 3-way simultaneous poll struct pollfd pfds[3] = { {.fd = evfd_data_arr[my_numa_node], .events = POLLIN}, {.fd = (fd_escrow_r && fd_escrow_r[my_numa_node] >= 0) ? fd_escrow_r[my_numa_node] : -1, .events = POLLIN}, @@ -4208,7 +4145,6 @@ static int ring_claim_main(int argc, char **argv) { }; while (1) { - // RULE: Must simultaneously poll until parent EOF + empty local work is verified if (atomic_load_acquire(&local_state->write_idx) > atomic_load_relaxed(&local_state->read_idx)) break; @@ -4218,30 +4154,24 @@ static int ring_claim_main(int argc, char **argv) { poll(pfds, 3, -1); - // EMERGENCY BYPASS: If someone pulled the fire alarm while we slept, exit immediately if (atomic_load_relaxed(&state[0].emergency_abort)) { cleanup_waiter_state(); return EXECUTION_FAILURE; } - bool data_fired = (pfds[0].revents & POLLIN) != 0; + bool data_fired = (pfds[0].revents & POLLIN) != 0; bool escrow_fired = (pfds[1].fd >= 0 && (pfds[1].revents & POLLIN) != 0); - bool eof_fired = (pfds[2].revents & POLLIN) != 0; + bool eof_fired = (pfds[2].revents & POLLIN) != 0; - // RULE: Strict checking order - // 1. check if the "local work evfd" was non-zero. if so consume it and loop back. + // Strict priority: data > escrow > EOF if (data_fired) { uint64_t v; sys_read(pfds[0].fd, &v, 8); continue; - } - // 2. check if the non-local work evfd was non-zero. if so consume it and loop back. - else if (escrow_fired) { - break; // Break so outer loop's Escrow Check processes it - } - // 3. check if EOF evfd was non-zero. exit ONLY when EOF is nonzero and work evfds are zero - else if (eof_fired && !data_fired && !escrow_fired) { - break; // Break so outer loop's Scanner Finished check triggers safe exit + } else if (escrow_fired) { + break; // outer loop section 2 will read the packet + } else if (eof_fired && !data_fired && !escrow_fired) { + break; // outer loop section 3 will confirm EOF } } @@ -4249,91 +4179,102 @@ static int ring_claim_main(int argc, char **argv) { spin = 0; } -evaluate_claim: - uint64_t w_curr = atomic_load_acquire(&local_state->write_idx); - if (my_read_idx + claim_count > w_curr) { - if (atomic_load_acquire(&local_state->scanner_finished)) { - w_curr = atomic_load_acquire(&local_state->write_idx); - int64_t diff = (int64_t)w_curr - (int64_t)my_read_idx; - if (diff < 0) - diff = 0; - if ((uint64_t)diff < claim_count) - claim_count = (uint64_t)diff; - - if (claim_count == 0) { - spin = 0; - goto restart_loop; - } - } else { - __atomic_fetch_add(&local_state->active_waiters, 1, __ATOMIC_SEQ_CST); - is_waiting_on_ring = true; - while (1) { +dlc_evaluate_claim: + { + uint64_t w_curr = atomic_load_acquire(&local_state->write_idx); + if (my_read_idx + claim_count > w_curr) { + if (atomic_load_acquire(&local_state->scanner_finished)) { w_curr = atomic_load_acquire(&local_state->write_idx); - if (w_curr > my_read_idx) { - uint64_t avail = w_curr - my_read_idx; - if (avail < claim_count) { - struct EscrowPacket ep = {.idx = my_read_idx + avail, - .cnt = claim_count - avail, - .num_kills = current_kills}; - ssize_t ew; - do { - ew = write(fd_escrow_w[my_numa_node], &ep, sizeof(ep)); - } while (ew < 0 && errno == EINTR); - if (ew == sizeof(ep)) { - claim_count = avail; - uint64_t one = 1; - sys_write(evfd_data_arr[my_numa_node], &one, 8); + int64_t diff = (int64_t)w_curr - (int64_t)my_read_idx; + if (diff < 0) diff = 0; + if ((uint64_t)diff < claim_count) claim_count = (uint64_t)diff; + + if (claim_count == 0) { + spin = 0; + goto dlc_restart_loop; + } + } else { + __atomic_fetch_add(&local_state->active_waiters, 1, __ATOMIC_SEQ_CST); + is_waiting_on_ring = true; + while (1) { + w_curr = atomic_load_acquire(&local_state->write_idx); + if (w_curr > my_read_idx) { + uint64_t avail = w_curr - my_read_idx; + if (avail < claim_count) { + struct EscrowPacket ep = {.idx = my_read_idx + avail, + .cnt = claim_count - avail, + .num_kills = current_kills}; + ssize_t ew; + do { + ew = write(fd_escrow_w[my_numa_node], &ep, sizeof(ep)); + } while (ew < 0 && errno == EINTR); + if (ew == sizeof(ep)) { + claim_count = avail; + uint64_t one = 1; + sys_write(evfd_data_arr[my_numa_node], &one, 8); + break; + } + } else { break; } - } else { + } + if (atomic_load_acquire(&local_state->scanner_finished)) { + w_curr = atomic_load_acquire(&local_state->write_idx); + int64_t diff = (int64_t)w_curr - (int64_t)my_read_idx; + if (diff < 0) diff = 0; + if ((uint64_t)diff < claim_count) claim_count = (uint64_t)diff; break; } - } - if (atomic_load_acquire(&local_state->scanner_finished)) { - w_curr = atomic_load_acquire(&local_state->write_idx); - int64_t diff = (int64_t)w_curr - (int64_t)my_read_idx; - if (diff < 0) - diff = 0; - if ((uint64_t)diff < claim_count) - claim_count = (uint64_t)diff; - break; - } + struct pollfd pfds[2] = { + {.fd = evfd_data_arr[my_numa_node], .events = POLLIN}, + {.fd = evfd_eof_arr[my_numa_node], .events = POLLIN}}; - struct pollfd pfds[2] = { - {.fd = evfd_data_arr[my_numa_node], .events = POLLIN}, - {.fd = evfd_eof_arr[my_numa_node], .events = POLLIN}}; + poll(pfds, 2, -1); - poll(pfds, 2, -1); + if (atomic_load_relaxed(&state[0].emergency_abort)) { + cleanup_waiter_state(); + return EXECUTION_FAILURE; + } - // EMERGENCY BYPASS: If someone pulled the fire alarm while we slept, exit immediately - if (atomic_load_relaxed(&state[0].emergency_abort)) { - cleanup_waiter_state(); - return EXECUTION_FAILURE; + bool data_fired = (pfds[0].revents & POLLIN) != 0; + if (data_fired) { + uint64_t v; + sys_read(evfd_data_arr[my_numa_node], &v, 8); + } } - - bool data_fired = (pfds[0].revents & POLLIN) != 0; - - if (data_fired) { - uint64_t v; - sys_read(evfd_data_arr[my_numa_node], &v, 8); - // Let loop naturally re-evaluate w_curr + cleanup_waiter_state(); + if (claim_count == 0) { + spin = 0; + goto dlc_restart_loop; } } - cleanup_waiter_state(); - if (claim_count == 0) { - spin = 0; - goto restart_loop; - } } } -check_boundaries: +dlc_check_boundaries: if (claim_count > 1) { - uint64_t safe_count = claim_count; // <--- CRITICAL FIX: Default to full claim + uint64_t safe_count = claim_count; + uint64_t accumulated_lines = 0; + + // Get the logical target to calculate the overclaim threshold (1.5x) + int64_t sbatch = atomic_load_relaxed(&local_state->signed_batch_size); + uint64_t target = (sbatch < 0) ? (uint64_t)(-sbatch) : (uint64_t)sbatch; + uint64_t overclaim_threshold = (target * 3) / 2; + for (uint64_t i = 0; i < claim_count; i++) { - if (local_state->stride_ring[(my_read_idx + i) & RING_MASK] & - FLAG_CHUNK_BOUNDARY) { + uint16_t stride_val = local_state->stride_ring[(my_read_idx + i) & RING_MASK]; + accumulated_lines += (stride_val & STRIDE_MASK); + + // 1. Truncate if we hit a physical chunk boundary + if (stride_val & FLAG_CHUNK_BOUNDARY) { + safe_count = i + 1; + break; + } + + // 2. Truncate if we significantly overshot the logical line count + // (Ensure i > 0 so we always process at least 1 slot) + if (i > 0 && accumulated_lines > overclaim_threshold) { safe_count = i + 1; break; } @@ -4355,48 +4296,149 @@ static int ring_claim_main(int argc, char **argv) { } else if (ew == sizeof(ep)) { uint64_t one = 1; sys_write(evfd_data_arr[my_numa_node], &one, 8); - - // NEW: We successfully dropped into escrow. Flag ourselves to pick it up ASAP. - tl_recently_escrowed = true; + // Signal the continuous drain to pick this up on the next claim. + tl_drain_escrow = true; } claim_count = safe_count; } } - uint64_t final_val = 0; - - // We ALWAYS return bytes now. Line count is exported via RING_BATCH_SLOTS. + // Populate output struct (no Bash variable side-effects below this line) uint64_t start = local_state->offset_ring[my_read_idx & RING_MASK]; - uint64_t end = local_state->end_ring[(my_read_idx + claim_count - 1) & RING_MASK]; - final_val = end - start; + uint64_t end = local_state->end_ring[(my_read_idx + claim_count - 1) & RING_MASK]; // The number of ring slots claimed is ALWAYS the logical line/chunk count __atomic_fetch_add(&local_state->total_lines_consumed, claim_count, __ATOMIC_SEQ_CST); - worker_last_idx = my_read_idx; - worker_last_cnt = claim_count; - worker_last_num_kills = current_kills; + out->idx = my_read_idx; + out->cnt = claim_count; + out->num_kills = current_kills; + out->offset = start; + out->length = end - start; + + if (local_state->numa_enabled) { + out->major = local_state->major_ring[my_read_idx & RING_MASK]; + out->minor = local_state->minor_ring[my_read_idx & RING_MASK] & ~FLAG_MAJOR_EOF; + if (local_state->minor_ring[(my_read_idx + claim_count - 1) & RING_MASK] & + FLAG_MAJOR_EOF) { + out->minor |= FLAG_MAJOR_EOF; + } + } else { + out->major = 0; + out->minor = 0; + } + + return 0; +} + +// Workers Claiming Data (Inertial Particles): +// The fast path is a single lock-free `atomic_fetch_add` to claim a batch of +// records. There are NO CAS retry loops on the fast path. If a worker +// overshoots and claims records that haven't arrived yet (inertia), it +// processes the available ones and deposits the remainder into an escrow pipe +// for other idle workers to steal. Escrow is pure advisory capability; forward +// progress is guaranteed by strictly monotonic indices. +// +// This function is now a thin wrapper: do_lockfree_claim handles all ring +// physics, and this function handles NUMA init, the SIGPIPE shield, and all +// Bash variable bindings. +static int ring_claim_main(int argc, char **argv) { + const char *v_target = "REPLY"; + + if (argc >= 2) { + v_target = argv[1]; + } + + if (my_numa_node == -1) { + const char *s_node = get_string_value("RING_NODE_ID"); + if (s_node) { + my_numa_node = atoi(s_node); + } else { + int phys = auto_detect_numa_node(); + my_numa_node = 0; + bool found = false; + if (g_logical_to_phys_map) { + for (uint32_t i = 0; i < global_num_nodes; i++) { + if (g_logical_to_phys_map[i] == (uint32_t)phys) { + my_numa_node = i; + found = true; + break; + } + } + } + if (!found && g_debug && global_num_nodes > 1) { + fprintf(stderr, + "forkrun[DEBUG] Worker on unmapped physical node %d, " + "defaulting to logical 0\n", + phys); + } + } + if (my_numa_node >= (int)global_num_nodes) + my_numa_node = 0; + } + + // --- UNIVERSAL SIGPIPE / TEARDOWN SHIELD --- + if (state) { + // 1. Did someone else pull the fire alarm? (e.g., ring_order, or Fallow dying) + if (atomic_load_relaxed(&state[0].emergency_abort)) { + return EXECUTION_FAILURE; + } + // 2. Sentry duty: Check if stdout is broken (Crucial for -u realtime mode) + // We only poll every 64 claims to ensure absolute zero overhead on the fast path. + static __thread int claim_calls = 0; + if ((claim_calls++ & 63) == 0) { + struct pollfd pfd_stdout = {.fd = 1, .events = POLLOUT}; + if (poll(&pfd_stdout, 1, 0) > 0 && (pfd_stdout.revents & (POLLERR | POLLHUP))) { + // The downstream pipe was cut (e.g., head -n 5). Pull the fire alarm! + pull_fire_alarm(); + return EXECUTION_FAILURE; + } + } + } + // ------------------------------------------- + + struct WorkerBatchState batch; + int rc = do_lockfree_claim(&batch, true); + if (rc != 0) return rc; + + // --- Publish metadata to TLS globals --- + worker_last_idx = batch.idx; + worker_last_cnt = batch.cnt; + worker_last_num_kills = batch.num_kills; + worker_last_major = batch.major; + worker_last_minor = batch.minor; + tls_batch_offset = (off_t)batch.offset; + + // --- Bind the byte-length to the target Bash variable --- char buf[64]; - u64toa(final_val, buf); + u64toa(batch.length, buf); bind_var_or_array(v_target, buf, 0); - uint64_t start_offset = - local_state->offset_ring[my_read_idx & RING_MASK]; + // --- Export retry/poison metadata only for recycled (escrow) batches --- + // For fresh batches (num_kills == 0) these variables retain their previous + // values; the Bash layer only inspects them after a non-zero retry count. + if (batch.num_kills > 0) { + snprintf(buf, sizeof(buf), "%u", batch.num_kills); + bind_variable("RING_NUM_KILLS", buf, 0); - if (local_state->numa_enabled) { - worker_last_major = local_state->major_ring[my_read_idx & RING_MASK]; - worker_last_minor = - local_state->minor_ring[my_read_idx & RING_MASK] & ~FLAG_MAJOR_EOF; + u64toa(batch.idx, buf); + bind_variable("RING_BATCH_IDX", buf, 0); - if (local_state->minor_ring[(my_read_idx + claim_count - 1) & RING_MASK] & - FLAG_MAJOR_EOF) { - worker_last_minor |= FLAG_MAJOR_EOF; + int limit = 3; // Default to 3 retries + const char *s_lim = get_string_value("FORKRUN_RETRY_LIMIT"); + if (s_lim) limit = atoi(s_lim); + + // limit < 0 → infinite retries (never poison) + // limit >= 0 → poison when kill count reaches the limit + if (limit >= 0 && batch.num_kills >= (uint32_t)limit) { + bind_variable("RING_POISONED", "1", 0); + } else { + bind_variable("RING_POISONED", "0", 0); } } - tls_batch_offset = (off_t)start_offset; return 0; } @@ -5040,7 +5082,7 @@ static int ring_lseek_main(int argc, char **argv) { if (argc < 3 || argc > 5) return EXECUTION_FAILURE; int fd = atoi(argv[1]); - + // ZERO-OVERHEAD TLS INJECTION: Support '-' to auto-grab the batch offset off_t off; if (argv[2][0] == '-' && argv[2][1] == '\0') { @@ -5048,7 +5090,7 @@ static int ring_lseek_main(int argc, char **argv) { } else { off = atoll(argv[2]); } - + int whence = SEEK_CUR; if (argc > 3) { if (!strcmp(argv[3], "SEEK_SET")) @@ -5691,7 +5733,7 @@ static int ring_escrow_put_main(int argc, char **argv) { uint64_t idx; if (argv[2][0] == '-' && argv[2][1] == '\0') idx = worker_last_idx; else idx = strtoull(argv[2], NULL, 10); - + uint64_t cnt; if (argv[3][0] == '-' && argv[3][1] == '\0') cnt = worker_last_cnt; else cnt = strtoull(argv[3], NULL, 10); @@ -5783,7 +5825,7 @@ static int ring_set_resume_main(int argc, char **argv) { g_state->is_resume_mode = 1; g_state->resume_horizon = strtoull(argv[1], NULL, 10); g_state->resume_jagged_count = 0; - + for (int i = 2; i < argc && g_state->resume_jagged_count < 1024; i++) { char *colon = strchr(argv[i], ':'); if (colon) { @@ -5904,7 +5946,7 @@ static int ring_poll_main(int argc, char **argv) { // If there is no core infrastructure left to poll, exit if (core_cnt == 0 && g_poll_deadline_ms == 0) { free(pfds); free(meta); - return EXECUTION_FAILURE; + return EXECUTION_FAILURE; } int r; @@ -5913,7 +5955,7 @@ static int ring_poll_main(int argc, char **argv) { free(pfds); free(meta); return EXECUTION_FAILURE; } - + int timeout_this_iter = 100; // 100ms default for fire alarm checks if (g_poll_deadline_ms > 0) { uint64_t now_ms = get_mono_ms(); @@ -5927,7 +5969,7 @@ static int ring_poll_main(int argc, char **argv) { timeout_this_iter = (remaining_ms < 100) ? (int)remaining_ms : 100; if (timeout_this_iter < 1) timeout_this_iter = 1; } - + r = poll(pfds, p_cnt, timeout_this_iter); } while (r == 0 || (r < 0 && errno == EINTR)); @@ -5939,7 +5981,7 @@ static int ring_poll_main(int argc, char **argv) { // 4. Process the Events for (int i = 0; i < p_cnt; i++) { if (pfds[i].revents & (POLLIN | POLLHUP | POLLERR)) { - if (meta[i].type == 0 || meta[i].type == 3) { + if (meta[i].type == 0 || meta[i].type == 3) { // --- SPAWN or TRAP_ACK PIPE (1-byte robust read) --- char buf[64]; int len = 0; @@ -5959,7 +6001,7 @@ static int ring_poll_main(int argc, char **argv) { } } buf[len] = '\0'; - + if (len > 0) { if (meta[i].type == 0) { char *colon = strchr(buf, ':'); @@ -5992,13 +6034,13 @@ static int ring_poll_main(int argc, char **argv) { free(pfds); free(meta); return EXECUTION_SUCCESS; } - } else { + } else { // --- DEATH PIPES (Scanner or Worker) --- bind_variable("POLL_EVENT", meta[i].type == 1 ? "SCAN_DEATH" : "WORKER_DEATH", 0); char arg_buf[32]; snprintf(arg_buf, sizeof(arg_buf), "%lld", (long long)meta[i].id); bind_variable("POLL_ARG1", arg_buf, 0); - + free(pfds); free(meta); return EXECUTION_SUCCESS; } @@ -6153,8 +6195,8 @@ static __thread struct forkrun_ctx tls_fctx; // ring_call: Zero-Tax C Plugin Callback Execution // --------------------------------------------------------- // NOTE FOR PLUGIN AUTHORS: -// The `argv` array and the string pointers it contains are backed by -// Thread-Local Storage. They are ONLY valid for the duration of the +// The `argv` array and the string pointers it contains are backed by +// Thread-Local Storage. They are ONLY valid for the duration of the // function call. Do not store these pointers across batches! static int ring_call_main(int argc, char **argv) { // Usage: ring_call @@ -6208,7 +6250,7 @@ static int ring_call_main(int argc, char **argv) { // 2. Tokenize the batch directly into tls_argv (starting at index 0) size_t batch_argc = 0; - int ret = do_tokenize(fd, length, delim, NULL, 0, &batch_argc); + int ret = do_tokenize(fd, length, tls_batch_offset, delim, NULL, 0, &batch_argc); if (ret != EXECUTION_SUCCESS) return ret; // 3. Ensure capacity and terminate argv array (standard C convention) diff --git a/frun.bash b/frun.bash index a050ba80..20065352 100644 --- a/frun.bash +++ b/frun.bash @@ -1739,6 +1739,6 @@ unset "b64" # <@@@@@< _BASE64_START_ >@@@@@> # -declare -A b64=([aarch64]=$'0 137464\nmd5sum:54de4aeff7ba78fc838ad65445d53893\nsha256sum:adc4fe608fcb0e644ab378e86119b4221616fbd8a2edc4b08398842db4e7f377\034\035\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' [ppc64le]=$'0 202656\nmd5sum:ecb1b4ac141b61c3d77008a70023d691\nsha256sum:6f165df3392347db7df7ed030519d863951226de6dc987cd7b44527895886a06\034\035\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' [riscv64]=$'0 104032\nmd5sum:9dafee48aacc22fa5dfcea92814b8a27\nsha256sum:f44d894febc5e0c8c65aaa053e35900a3d94bd58b0d4c75dfb59509e3cd5abd9\034\035\036H4sIAP9YDmoCA6ybfXhTZZbA36TNRxmFlgItFiSA0oIDVAq0gysGobQoaEUQRtdJQnLbRtIkJOmXjpJCQ1M+YhH5HpzC6FJZdcuw2CoidYClzPOs1p15nq2762PlY60fY+NQBEa77HuTc9uTw313549Jvdyc3zn3vOc95+Te943t+sKli7UaDVNeSewKG5IYM8PZ+mKc6mKsgKXwf8exLG7PvMmcvb8NXzX0KiWyBp11TPyKujUJZ5Y6dJ2eH7m/jHN6tqbF7YwjWcJ1WriuBOzouQuGUc5GuDwZjgJtXKbnu1jiORnOBngvilPx/ylLHK/kcsARu+5xsCfnRTCuclbGe4xfp2d//QvSwpYr4wni7EpiCWcNmueoWL8wVvTISpZ2M3flbzIMb//PW0uP6jYsrx/+1I2pst2j/Pg52MtzDL4cLF6Rmpm2z9hvCjeneOrYS08yVs+GB+uMacZdS5T45Gu4gj1F4v57OD8N51/wwyLXXWWONn6s4YddRSeRHi2H98/wYy3SufhRgWQ3nD388PJjHT98xLefHwF4X8mPKqSrhnMNP2rh/XP8+OVfUbPn4fwCP9bLuST6m131O1eeHvntqto/VpUde/2z0yfenTrB8c6ID9ZOMD2/aMQ/Pl8bmblz+9ra4e9dWHg16+zyq7v3Fm5i96Sern7z7dtqQn+4UjDjsdoFL/quvPpy/d5V/73qo7rv7nt8/JEX6/Yvz5h8Yd/a7KLOhlXnas78etZbn338aP/851fOPfLc5CO3Pfzchw9k3PnxgZ7vxs890PbhrlV9pknr3vzjK9M3976Sl1X96Mr5/3B4cmDXN//f/JLYMOZdkMjm8D4fqWL7jHaoh/HrySR1+xsCPzc16lzuc5MK/07gZ7Egnv8S+J8g8POOgGcI5mUQ2M8Q8A4B7+M3jzQVfk5gf4ipz3eEYL4rBH6KktT9yJ85NftpgjwsFthvF9TFL/BzSeDHIJjXR4J5jRD4nyzgvxCMWyrgpwX8uIB/JohzmSCeOkHefi/6vAj8bBT46RTEmSaI83nBuDUC+2qB/RsC/q1GPc41Av+bBH2bK8qDYL5TBP6PCvi3Aj9zBPF8JfAzSpCHvwjsM7Xq94e/COJ5SuDnKcG4Lwn8rBDkM58fk1T4PIF/kyCeVwT2zwrG/ZPgPvm6wP9rAv/jBc+XcQL7fYL8vCfgqwR8jWBe3QL7FwT8E0G/HRfE/56APyOIZ5/Af7HA/o1YXcaw5k2wflWep7o47wkn8ulg39GQyCeCvXVzIt8J9l3E/4nkOC/ZksjfisU5jH0/RzP4PJZfw8F/E/F/OSnOc7cl8jMwrpeMuxK4lcR/L/jPJf6HQ5xdWxN5Ldh7GxP5ErA3E/sysG8m9uvAvofkQQ9xmkj+D4F9kNhvA/9m4v8i8CDx86/gx0T8HAT7VOLnB7DvIPm5CvYlxP95qIuV1GUszCtK8v+fwM2kXv8G/luJ/yDYM+KnB+KMkjgbgbeS+ZaCn1zi53uIn5H4V0A8XSQ/E8B/M6l7AXAv4QvBDyNxLoJ4mkg8T4OfVOKHWZasWGZxSD6pzOkPSL4Vyxa6PG5phW2NS4rr1DUWe43NUup021zOZ2XR6ffYZ+VZ/AFfwONyMX62V3iZv9Zv97hLZdElubmZ5PO5PRaXx24LOD1u5pVtLZaAy28pkwIWm8PhY16fZHPMnc34ycUN2Rqn22Gx+Xy2Wovkkiokd4BVSBX2ch/zeCV33NBBI2B+Z5lU4Q3U+qWA/J57hnden8deYfOv5WP7nTUWv9dW7fayapsz4HU6mNfplVip3R1wccfIgk/VJVlsdjlqv8XpdgbEWj6Wo9I76/80sLs8fkls4ZD4NDy1crw8w8zvdTntEvO7vT6nO1Aqz1+eDS9CoNYrWdbICWV+e7nksHBuKy2VA6wlOankqZaTzAWnu8xSZXNVSrEC8TSzirW8xBVePulKt8vpXssrxnvCx0qrfc6AJNfPLdezIl4S6pitqXS6Ak63XF6Pj1VU2GRP9rixVMVLVupgpXIdq2w+Z6yB+JVx40r3mgRFhW2tZHFL1VDyQV7qD9gC3CuP2Oku9bCKSjcfhlX6XZLkZS6/JK2Vx/R4a+Op9NncZXwYye2QRfnCgI//J+fOJzdPKeSSV8K+Vu6+gLNCkrUVnio+Wix2W0C+UO42by1b5/f4eNUrA/54jMqcbb6yKlZT6pMk5nDJLclP/toK/m98gg5XvNj+8sqAw1Ptjn025AACvko3DIF6fHDCcebniUZZkwKV3sGRSz2+tdyHRa4nixWVZ0SuSaU9wHiTKYZxnVQj2RUlArHWSuBy3RKA0x/vUTmERAVvswQAfZvAeIO53ZIvgbkrK2z86jJuThw6eFS+uP6WC9Q82V02Z0UCqeZZucVIsrl54uRPOVGpBBGrfXUCsvEWwbLH56BDyI2XMO3YRzcBxZpUdb4Jw0sB/kn2qYXkLa/1J3DemqUOi53fAQOJlfFLZOzYPS2ByLe6xGtubYUqyefnNySVUvAPY2IoLidJo3xvTwA+fifwBSyeygD/EN2S3lt6SfLbffKcia2jssLLXfkrK+iMA2rYtoZ/ahXCnz/uKqePP3hczjX2GX7PjLnM5ZjOb3iVNdN9Tr+9au7s6S5+73LIuntZ0dIlDy60zJoxK3/wbV7eEC0YorOH3hbA994alsSS+Y8mdmhj7/GPBv2rhfOtP0mDdlpyrXzokKwn12HJMDjSkE6T4Otv+8PiZ0N8LyHvtxq279LL/+dhvEH5nk/HrumH9hrHYnoDy4FrwjFZz/JAjl+fHLtelv85Jiex+SC3x2QtWwL+C+B79CRlPQbfb5oJfx94MeGKvPqFRK6sw6yEK/uccsKVfUIN4cq6LUi4sn8IE66sR5sIV/YzewhX1vfN1D/E00L58rjcTriyf+igeYD1ayfhyv6ki3Bl/9NN8wDr4x7ClX1dL/UP6/sozQPM6zrhyj6TrU/kyv7ESLiyr0glXFn351A/ynqacGU/WUC4sv8xE67s94oJV/Z1JYQr+67VhCv7JSvhyv6qnHBlH+KlHPJcQ/MAfoKEK/uoZsKVfWMr4cq+up3GD/nppPlR+opy8NNLuLKP2rOB5O0hiJPw8GKIk3Az2LcTvhp4J+FB4F2E7wHeQ3g78F7Cu4BfJ5w9DP28MZFnAk8lPBd4JuHFwHMItwLPJdwL3Ex4M/BiwluBrya8A7iVcCPk30t4N9jXEB4FHqZ5WAr3ScJzgDcTvhp4C+HlwNsJDwLvILwJeBfhLcC7CW8H3kt4J/AozQNwVk/yANxIeLgQ6k44WxaXTYTXgH0u4algX0B4OdgXE24C+xLCc4BbCS8BXk64FXgNjRN4kPAm4E2EtwDfQ3g78BbCe4C30jwD7yDc+AjcBwjPBN5NeAHwHsKvL4K6E14M9tdpnGBvDJF+BvtUwsuBmwgPAs8hvAl4AeEtwM2EdwIvIZw9CvcBwjOBlxNuBu4l3Ao8SPge4GHC24HvIbwbeDPNG+SzlfBesG8n3FgCdSfcBLyL8GLgPbQuwHsJDwO/TngrcLaJzAt4KuHGx+A+QHgB8BzCy4HnEh4Ebt6k/twsJjwAv9u0mnDleWwV+PESXgO8hvAV46DuhCvP76ZN6s/rZsKt4L+F8Ach/nbCled9xyb153sX4SXgv5vw3ptwJlxZH0Q3qa8HlHXW4OcF/BsJd6dB3QlX1hOmBvX1Qy7hOeC/gPBDk6DuhCvrj5IG9fWGlY4L/ssJf2Y81J3GA/6DDerrkybCW6Bv9xDenA51p/kE/60N6uuZjgb1dUsn4fV3QN0JV9ZDPQI/UVoveM5eJzw8ANeFSR7Af2pYfb1kIrwX/OcQHs6EulMO/s1h9fVVCeHd4H814Y7ZUHfClfWZN6y+HgsS3gn+w4T/x0ioO+HKeq45rL5+a6X24L+d8Aj47yRcWf91hdXXez10vuC/l/Cv8qDutF7gnzWqrw9TGwXrQMKfgP7JIVxZX+YK/Jgb1deNxYSPHAF1J1xZj1oFfryN6uvMGsLvgvjDhCvr1yaBn2bCVwNvIfyNWVB3wpX1bkej+vq2i9qD/25aL7g/9xKurI+jjerrYeV7o8HnOPg3Ev7nHyHfhCvradNm9fVzLuE54L+A8A7wX0z9gP+SzerrbSvhmeC/nPAZw6DuhCvr9eBm9fV5E+FG8L+H8AjE30LnBf5bN6uv5zs2q6/bOwlfAf67CVf2Az0CP9HN6uv864Sf+QHmt4XkAfynblH3YyK8C3gO4TlGqDvhyn7DvEV9f1FCeAf4X034s/D5Kidc2Z94t6jvR4KEt4D/MOHfG6DuhCv7meYt6vuXVjou+G8n/Az47yRc2f90bVHf7/QQXgP+ewl/Cfxfp3kG/2yr+v4olfBy8J9J7cF/DuHK/ip3q/p+yrxVfd9UTHjpPKg74cp+zCrw4yW8GHgN4TMg/jDhyv6taav6fq2Z8Fzw30L4j3qoO+HKfq9jq/r+rotwE/jvJvxfkqDuhCv7w+hW9f2g8n354LyU7wEIfxn8ZxKu7CdN29T3j7nUfiHcBwhfA/6LCVf2nyXb1PebVsJ7wX854b/TQt0JV/arwW3q+9O/1SsH/j+CgfACAS8W8Mz16rxJwLsF3Av+tUTXijj+/cjw+iF+P+ItiC9EvAPxh/HAwaG/P9IibEQ8CfFUxJNxHhDHf39kQhz/HU0O4kbEcxFPwXVBfBjiZsR/guuF+G2IlyB+O+KrER+OuBXxEYiXI45/n9KLOP59yhrE03H6ER+F64v4aNxXiI9BfA/iGYg3I56J+wTxsbjfEL8D8XbEs3BfIT4O8U7ExyPehfid+HOB+ATEexA3Id6L+ETEo4jj32O+jvhk3P91Q/wu3P+I3437H/EpuP8Rz8b9j3gO7n/Ep+L+R3wa7n/E78H9j/hPcf8jPh33P+IzcP8jPhP3P+K5uP8Rvxf3P+KzcP8jnof7H/HZuP8Rn4P7H/G5uP8Rz8f9j3gB7n/Ef4b7H/F5uP8Rvw/3P+J/h/sf8fm4/xF/APd/Hf47UNT/iOM/4epF/EHc/4gvwv2PeCHu/w1DfDHuf8SLcP8jvgT3P+IP4f5HfCnuf8SX4f5H/BHc/4g/ivsf8RLc/4g/hvsf8eW4/xF/HPc/4itw/yO+Evc/4k/g/kd8Fe5/xFcjvpuvm/KSTi9Iej/pvvSkhQM7NvDz4+ls4283sDL+hMrg+5mk+cPnlSUNjz1P4nLkZ4nycCJHCoieyJF8oidyZC7REzkyh+iJHJlN9ESO5BE9kSOziJ7IkXuJnsiRXKIncmQm0RM5MoPoiRyZTvREjvyU6IkcuYfoiRyZRvREjkwleiJHcoieyJFsoidyZArREzlyN9ETOXIX0RM5MpnoiRyZRPREjkwkeiJHTERP5MgEoidy5E6iJ3JkPNETOTKO6IkcySJ6IkfuIHoiR8YSPZEjmURP5EgG0RM5MoboiRwZTfREjowieiJH0omeyJGRRD8kr9SwdJ3ud7tXadiOhoYP7OHDbHeRhm1sO/fh9tMbGjYE4xaXT+3m5x0h6VTjth3/Psc8sP39naHQ3rNxW8PncVvZy8Zz2ScPfLEgTX8J/Hy6/VxGoezj7sMbdvdFJ9w4ZA0VZXDLycnX3l2g2RDcEFx3SpM2qXfKJf03D/UkFenZtPq36vfrG67vb9CzvRc2Fo1hGT/ncU9NaQ99ka7rv5k+ZzTLGr1TI3tJNxx+O0+6W2M8fcH6oOOQQ+vU2TYEN3IvB74OFdlT+oc1Ftnv6Dfam+qntRlG3NzRcG3EseobLN/Akj55MavRwPJ1Jhb3ZPjt06eyDIaB/QYDm/jRl3+QY9mvzx+Q42j8auPiMWz/Jn1Msof1I0/K/g39I1OK7GMvjbPvq58r8p+q+H9j7yl5NmevHWiz7+sfmV57I6qZmq5jWtAfGX+KR/ur/pFtGWxgIEP2I3tIkUDfMvbUfv2qWATbE+KRszSFnTydZciPRZ/2dRIfJ8tw7UdZGntR1h48NytUVzh1cV/0s1ePbEr7PLSYx397v4mPmNU/xf5S/chb44+P29Acn0eQjfrhsZP8qtv6k/lVd/an2g/U54hmbYZZH/5V6Lg8/gcn+TX7+8ckzk0HcyvaN13W76H6NEW/Z+rJ9OqUm/NDO/QmrTyrOD+3a9zpg2fmN1490XaNDShxpJTVZfN8mXhuTXu/aTMMaeaFZK+Qzx2fHJvfCP5fqjiRXpvC6zE3VHjCvvfSsHh1FhSCvsl5os0QHZqpniV9rOQnUpc97vSoa9s65jfm64wsdMLe1G8crG5y3Cp760HugQ16+BjyFOZZvT/RdyyLddn5Oi1r009iR3/E18W1c9E8GjYNvBPPzdnFcmY+Pb6DS3XZO/Tm5LTCz0/izOjimUnlcaV+ehxr0uIaM9eYvzvOa9HUrx2qRUaRPNIX6+VRR12ZKK07iq+Naw0vxPLQt/2MTprfyO8rwQNHeZ4G0vXfj8irOs9eKxt1JStFz9JDhuDRo/YD/UzOUfzaomc1U0d9zcc23v6OHD2MVxPz+EUdr/DEwonvxCsk2wWNU4+q5WyB1KZPYzeOq+czmedzESs8Wbtuyjdv1e++yvg97bXFk6L6/mn1fVHLa1PPx5lUNSn0UG9f9IFXdc6085NCcaor5Pev3+iWaM4f8moDFxwPhR50FvK7Tbou+pO+qOeafXmzdlpjqDPfYGQX12cPzGv8/JQ2cMh7wZGuM+sKbZ7ozKvpOtNtfdF/6r+4tPnH/BQjO39KU/jIpb7oi1eONNqfaE7enS/fNb94Nmg3WkefrVvUF+3788TkaQ1Gq87w7ssVNyaW2c/P1tgd2ZpDzjdPHXLOa9x56ljjXnP67iUsz5C/IK3hYiD75uW2fIMpFsMNfm+dckmZ6+X8Sb36b+S5/nrX/R/A/Msmhbi8c8FZZZ6huVx+OVSk+9Pr/I7cF/3oy2mNdkuzMR5b9jo5tvtjsc38cmLyER5byPA+j+1gmf33d+m0zvideH5IF8uNWcfne1lmOzJGsyEu52zmJfuTzdp8Qyo70nCx8vCP7zZ83CZbHiwbyFAs81L2mndkLGHHGrIXbG/QOpe1xXPo6flf2v49rolr+xvHZ5JMhiAKGAUVqkgUK20FRaFSGwGBVLRoOYqtbb0wQJRaUaukWq2EkIRwETFIVLAip4JyWm9RoqigqFBpK9ZaqLYqZLhJUVC5Kpff2jOJQM85z+f5Pq/P7w9lZl/XXpf3XmvvnT20fzZYhgXmW8xZa4DxrjZ8ujGn2qUnqCu4LaQ1tHl5o6p2RqKr5nj8jPi0+W8t0FrKsYnZguT89NeuOatylUEwbus++kOiD/j/i6PvjlBlQKiSVnj1U3uk3KBrwaUgb/Xd4hBl7ip+uHGz39acrZxtxii/z1YDXTuWPjZ8tPFmraqtSPPbFbkst1mpOB5PdbZblDe6auxnMfPm0pzW29WhPcu7VrSFtRYmzUgsSAR+No6J0KpHYdx3CJjrqHWd/Mhm+zlQ3qo5BPdPWxgGdKXWj1qrJ5IwD1W8T04GojS6lVpIYO9ecU0PU1Kb0vktrYtqUQs3ioG/1x19aaWun785cC0/yrjN76ucrzjbjetyN9SH564lAiKA3v1XRSdJDA/I3ZC7Fr37rnPJWq40QssVz12TKB4xKrLZolo0Mx7fW0yvS3/BjuD6fMi/z1vtki7CeBjVGc+n1JZ83BVfYHtUhAkwLW8sBv2fJ4ZRz+I5Hvx0n9tKF0T/DVeNPNBFdU8JHHUU9CjKeJiSpuIFmOjkWpy/uT58KKV4wBHDPaWLKlQphxnqxBli2C/F+IIrxSxf1vlGNa6vxV21B97B8AXa5DcwzVHtQXtMuF+CIW6d+NU1xWJjuVI05xIO9NbPvy5y/34QNScuu2qAa9YCDqIZ3m85biSGVeriaUT/YUuqP55px63C8XMP9Tqcft7Qc/25YK12OOYTYPD7POfz/QY0gt4/WK5EvA3y+Mlxo4f6M3wEWQjtoDLEMMIwVAK+Z/8uEVTu+7NCHL8kmjndVzTT1k85n7p7jC96e6JvQoQcEKblD7C2YIKXqBTyMR+Ru9xPNCfNB/rT58cHKS3BdiuKqOW7OVTqTJwLKKkl3TnU2E6MK7GFZxsOHkCRnbwcpQeRDt4YgSmJlKt01pE+7kzcTzFT7sudjfsSAQpoVzFb7gOUzIuLZfJQiikf5eABg/JM6Y8MaRLqWh5GBMTFDt+oepLTlFtfbgzuC3kR2rH82Yon+fEJEdPipwaicUSfzNdYrGGfTxx0XOeayPLuyCRFOYllJl2bC/w+5/i5a5J8qsVGB821foqWCcdsUErG1FCcbt6jmVodj2P/DtQZ9tlE7Z0qXP6xluRx9UlJPmFNRelCXjxnOcisRe+4kTuHh+XoHuhEJ9X4RB49Or0vZF2o6rYyWDkHC1LLAzmAsDuvv1/DUqB0xARaAQ6a4nbSWeq4MT/ee/8IQbkO2QfCworS6wHo76K9OcpgFY7oP7lvA4t+kolZlBX1HiYPxEFP3c5wLs+qSYzfscR2/vRseE9x9KUOTCFGBuCBuUif9tB8Zd9NJR4ogFYWfceRCLd0kvnqiTeUUzJ1ajyzSu2bWWXv40AQFtS8VuBrx6rQ8IJwu7XPtoZsO71t5FfPPpsFtmpuwe1od7F27zuYaM5XQP2ic6vvitz/xXl61jcCZtvWrSlrf3FYpvaBPqwjilNeSWriRn6/80uXzqDnwS0hf4U2LKddNQNyatmbn2iWk5vCLKUAy0zBo36HYXf7gR8Hx3yOuESFe4190LdxttBewNGBXLRJf5HCj6rwwx8JSR5Hr9H4eO9fzRuzKkd3U7ePXoHGf2AiD9Wk7Sb1jxh2j+GwhUVLdXEnNYEYERLgxbfBtMQG0O7Ug5gN4rl1fgnwDj1F//M2SEEowK2B/4cQAi76Pkh5PaCl+uFLkB5ZbpJNS4ZZNmoSycZZJQ9cAzYefcBV44fyk1BrqRrKQmARgt4TWW5yfgL6tB1fEQEvNizfXLh53NYXa5dHFUaN+2w2cLylemcryDJBKihXzoJaqVkhAb0gZaiv4vwEsq7e+QTy900ZNgPozVHC+3Oav/eVrFNTwkyyfuv6UFlT77XyO75aa1AGoHatdVlr5K6uGnGzk4Xc33YBLbDsCgmUSzzIAz5yaDcU6aOOnk90TL6fn07T/v3KYvCB987GRBdngg5Y78tXv3b/QV9C65FXWjD2BtKCjq+QHow2dHyFtGt6ccdXE4vN1J1QwJsB7DtH9Lb8E0yQr9ISiP/2HRgm5PMNojm2n7RUr+x2ViKtqNhD+ROjRDPTPuENc41HqCQPQKi6SOeszAWUap3bUn3oUb7aWSmOb6nub6M+jrURzfzgY60ljociFLNg8CCd64+Pdald+pPobd+PiSiR+8RPRXOmfyxyX/2xaM7Gj4SWlrFCgRybukAruMVRLoD294xZPT1byXOp5V7jYZN/4PO80xXLeJi+U4I/rnJRTg0sB773P8oJd+ARmLMKITQV6yVwVjqQPNCr1rnaZRHYLrJSRxD6jL8wqq4O20ctTd1HO5AERofU96F28Z+05GUOLWjrosnwbnNvEV2Ad58ADn7M9cY/5r6DL1e8I/8oFPHJArSu+tBDwMRPFN7y5YCbnwJGfgrcXAF+jXIUhuhyrQX+VTvwCfB46PdVXWcNqPyOpTeKX9uI/BdVM+TfoZZmY/WrJoO+yQPswfeC+fZwLtQsfgnWNo/gl1cH9+Q0gg3gaQhfqueWgc7t8SJ3QA8ggeq5t13j6QCiDz3vvD/rJ8v0IODKm5jIgodB++dypELyJE9RRmLazs7hlKqBJyRv8aj4Bl5g+Owa/lrjVsYPqy7+kVqBKMkNH0Egapj2fg8MRyW6ixl/q3rnDdonuy83HEV2pwyuxI7iEOLz4lymzKziwPD3YWS5tfnx7DgC9qmacxpbqidUjv5ZISGwTHVnj4OaxO5eHd1gIHzBy5xsAZoxhi1dlwHtg19KvUfw61c5KwPDc8MRHWwuAbmHfhl7Y3A7+2muZDTmWyYAnBUSG2yhfi7SAvoDXg+M58wY37sS2rGzKxc03pT/LZPvx+vaWozqLn1+pPjfKbm+G/CFBq5+SnToOsEbVk/ZnU7tk2Z9Zqn0rPauFcOYHuYmxgOtvgQH8am/5Lxh7CsqJnzD9BLA65hczNbPS0H10bMiryHF1MoPQE8O9LKY6MGLP90Y2qyq1QUBoiaWH1MYErn3K2xBcobZhTpthxeWmeGJtNmaCLyw9zfsHbtK7Gmm8Hp7/+e73PJIO48vDRg1zgLz+DIP81jzA+Z2lHSgR1n0vbOsysfBXo0DFvi+22CQWDNRGndKXh7ERSKzl5xTLa6Vz8eDJmG288dWQN88ecVNXew8ahmPR7hSMU0YSksTtHfqZgLGfnvtiROUpO7yeOw7j32v5PEHPOTcVcao1QyGzs0Cfd0/BZ8I/HFG+lpGBxJ9LB1TDgUYgF8HwHPNnPJyImAd4uaE66gE27Z/I2qbvsZ7weCtDkp+M6XbXHJnCSq51jB9Y9BTeQB43HWM3n3J73XudmkPfhzyKLQO2itDdpSvSYy3DUKtTNACRRmS0YBaZC74ByC/gyAHf6IPPc89RoANIU+XC5H1fqlWXWVHWXSORLMjY2+K/ESwVKanyZvh/Uq+xjaIWkyMMKdeh9SHxRDLLSBGmPt8mAR97pZYD/RZnDHQZ//htdcs09keUM8t1RU9Bln9dq3a/nqcvRcZbyzU5SdSdJ6luQ/lRrCH89DHfMKC7aFYCT0ckpADPRzaPdDDw8zJ0APCS3kA28OJDrmE2rwU16vzwcPshqigaUPQ5vzNllub1gZF5UdNZaS3MpahmzvQ6tykgVZ3Zixtm2pg2t8rYP6u3LtjaUQxt2wS+KGxJG3X2QzvaJa527tJ9PZqkWjmRvhn6wI+rQv4tJPA550MXvBkkbvvZNGcD0SQLoL0iaK3D08UzTw1MT/JLo0dcUTEtCRoP23i9cEYQGlIH/xHXR2KWQPCIf8YUcd6AtL0dEoZgLRIG//t5k8DTXwL+w7srqVBcBSVEmWTX7Il4jcx7/lkDPM3gYwhFmZvoJZtn52Z+Fe/VmfJ0d6rwrXkMLzoAGCxk9AyCdMKLnMmZk+0pNRBwxVzLLG3Alk6rn8aieSbtOMpt+wiJkqOJ0T58YRWfREbW0ZZepHcMntMSe54iV9j7CFPB/GN4rvvorU6K47wtwYc6Ks52growiWCFV6WmFBpwETuxzA6yapLvpCd8Sp+1ereBH834Sp3lgCz90LWpP4McYaK9+IqrTLVVlj2BrqpoUdpYHPz1ipJYkrXD1yYCd7q/8BAEEor1KqpZF3Di4mW9MGg5zpPoCa3NJLS8F+nuTz3WFv7euQRRH4A8x4HUWzdlQOIauLnYnh/qiiM5+vAZ1QcCaB2bKU0ln6MDPKmrKbiAZn2Ez6ik5bYxc07lmnVpMU+GjhokzbfHjjPnVR7DGlvxV3kNXsBSpQzKFFRiyx7ay/GgXKz0crvozxUblGVuVwOit2rFxn/Xm7qEaa9O0PLVTxky7F0NXyIB+EL5Qttww0fOWFea7Pxg3/NyiUkQN38fXTW9t/Db4P/ijxV27IwncIV9KzS0sU0pqXKN22tgg5QfT3TLoanlRl1inzIv2c55uKXg97GXdw+6M3xz1WD3sZnbb/NtI7+Io4MerYxP+egtzFD3pwG3kQp5Nuv0l8fXEr99pC39wbe/plsrvPPwbVnD2o1eVD6h0PaGfJGfjQkb8gb6Q5WNfDmM+TtvcFv6vkD9bgGcjHkv424z7yXkUvoMWQ9pH/ASuX7s0pJzw+szbQ8twX/K/XE0VYKJxxZjc19R+REYJoLaF6HmkWPi4TDQMsWIG2A+NCXTpM1TAxEaxHwXoS0gbYgai+Gs1K5bxgobX2KKV1nLm190VTaePHLfy/tdpwpTZtLu503la6+uP3fSy/6F1O6xlx6UYGp9IM/Vw0q7cSWjj4KpffK7iJ/21Rej3w9ehhR+aeJ8t8MyBet+AZQmUu8x9in8agA8P2wbzgN/gJCqxwVa8Mus8GGeYw9XCh/ZcMB78L7mazttlK2VOm7hTpFAfkPc1nr8wNllXPg/TQeoAyzSwOv1wW8XhfwaieDpzwZPOVJ4ClPAo9YBN6yCLxlZ+4c3FkxRz6R+y4+UfGu3Almging07H9joDxpBABS4uF6QTHIM3G8d0evDaO1xobbMeY7y7LJYAXfBvO8EA8oPcjv3SPzZNwFGVZ73XV0MNmTTEss8HydRDrBWT1HG0DfbipJQVgS1641yQnTMgbNTL2slJC35LNctAAhkPEKrzLYrh4/zFJcOLEYUVtca1xzdyZw8BfZ7Fbacno1wmKJGzMeB7ApJ04TmHEitmmNIJJi/6esiI+mWjGfQFKc/sOpU02t8ekteRTAuKT6eb2mLQTxyj+QF2CSYs+SlsSTua61y2Y9vJokuCY6yqZtJYj9AjC2Vw3gEk78S1ohZN5HASTFv1Pejgx8xV9JNNeDo0RM2eZ22PSWrJBU94ca26PSTtxiB5NvK61DMemZwv532IQv1W3XJ84jB77xuPbXb3LWPTm9dOabitqn2CxF4n1G0iMU5O6w35rsvChDscXmL2VI7e2NYsbYy+Dn5AAflqySf4V4KNkyAPyzX5bP+SrBvlxfZCffk/pmmh6/xny411V95Sm959mQJy0c49Q1oalBTpHlkjDol130YKqkbSx3hIPsC3TBBIBlLAKC1M6LPPH3k1KC6S5VSPov+r5tBVpowmkuFUYsdBhWTybZw159fU8OVNTydQsh5rXzDUt6ZZ6jCbIEaaa8zNDefilRFsJnVBvRUdW8XBJWqngPUJCafn4DHVmqD/KfY9O5pP0qt85dCqfJ3iPUvBxIpB6fgwLVlI1Ggn19Xf+Ycr8XbY1ymDqi0LstpKiXAOoDef9y5XUF0+wTWrqi5sxm1S6dwHlvn//MRU/fEPC9sORQQmutVT4XUyY0NGv55/z0RbYYRMjPNtnPKIicjEtv73f81F5pPDAcI4FZ/8ulIv7F9as1wiXW3LyezyfagEXBJ8/q/PrDu2d9thZLa45ndSRYkzeVgc8q30f9/jtfS7woHYhrv9tIRdZp5Df3Z8W6eF5GTN8mI3bvqe37OTkSD00y3A9eRf7p7xsiWtk4H7RybzFotiyJfwY0RnDYlFc2RKXmH/C/5GRopNlIYExootlIWCnaF7As7ZbRlbqKC5/eYGOW0AuVhSoF++KEJ2R/SNtl+icYbFlTHkEovyfsVVLRBehtXOyf4igH2UgmhPS6Ysb5IGaMq3dFKxAlz4vcjOLX4EP2ZUM79qWWysfywMYf0LlqiEig9FaRrV1srOU+ofgQ5O/8DslECzP2s69yOMT4cJxAo641mEYRMskLxb3D2rLrXXWhDUirombvVtXdK3vqa9eHm+ML5EqfhJgmXwBRqWS7w1f8IGESlU5UWlWzs5Sw7JsvFxXqSvUiWKlOCFI49FjXXs5sqB4560EiVov+cq4Q7UuN5yOeuNR07bI5PKUnOS0APAbb81tddWgJ9G5SSTQ35KfxLyd2Uy03Nr5xJV9uxgOeYceuyYybyf9BS23ipvz2XpnZsLbw79+aAQPcpggitIMi6JI+EdYRlEKeMeJKGrX8Ela3XCO9n4Dvl6F4krA+VuHXrDPK+D5Yfd61XIlemu5NQGeQ0zPK7vWq4JNz4c616ucTc8PO4SWuJN8/o6PDaMtMGH6VMCR0bEwM92aW+W8X+R0DOOej+ehPMAmJr34t1fpJJtuKn/HnM6zGJxefJtNv/hliDJHlzWP+pn0uxjOPP0AT9uZp6uk35+rmKebpA/w6xTFIWz+DFcKHNQC8JZF2VL8zzXsX9abk5yjvuwcBX2Rhw1C/hlMGYDGNbVIyK/FNAFoXLMLkN8R3WrdLeTHAwoSkLqzve6iMkDIT8emIb61PT4j5F+D8iiv+PnTiywOAiLiHnNbsY+SiQX3LwoWTJXQCqsH3O94mPx9LczxlMDKpbAR+Fs7avX0bMVPDphyGB1n9adW54h5qDsg/iQxD1kevuPXAp2iisT0nXl4WgVbjkq0wlC5gZy6TuVbFO/iG/Q+qxeXLgQlhmhuFBg1wcmfFnAnW2JEpJDPj01D/C3jTg4a/F7K5Aei0e68zuQxz8XX0POr1dlbxVf/DOdOscSUghzdvqt/rlG4BGEsV9OvsrxU/5Ne19k0WMY7DejNNV43FWIszfy/2HTRtxoM2jvL5GlY+Yqyp+Ie4ZNwoOfM/GRRzjFMa8/jUD+S7he/xDgmu/4+fZ4pBrn18MRADBLwHbwf1bkgL1BVx5ZV5ZtLzv1+oOSRfHjPZUtGGtmS9XnmkofyB8U1x+D9n1SyZRN4Xbdael011AjC3XFpWhIFHq5pvOmUgmyMs5drPZb3cKgvejAiyMPyBUc42hWNTwn2Z0lMo0jLeuTR5SfmJ8nnzz4qyn4JuQ//eVO5XBWklAcqwVr7lWnDKMX8OtN4/olW4/LVJvoOIvqWK4tU9K9kj3yqFmwrJ53SCDDuEUsszRL05xs680AfGsHOkvnfIq0EFwO4P+HH6Na5SkAlzvAFtMqq4AMJ0jqkcf0XbVYj7QmTnmb0pzv1ekug1CsyErQiJtKDX8YR7BEOs8NeKxIsoDVWp6dK7hqiIosydJNRjHd9p+hc6eIgQPLSxdrKAJjjVqjSjNMi0yJBGwHBFWdJQOqyENeYlF1m9G6KRLjNovaxM4FS+qBVR81FImrHONsF3vHg69460Y3WiaR4iOomithuFccjzzhI6Qwo3p9qPxVh9dodzlLaQfAtQkz5Qvn73WemBq5AmH7rocYA1GeSBKZVxUTq1VUch6XtvppAjU5zSDlFrKJ+rcI8VcKvOqxTzpjWE+JabkXXtdxa5UAERLe6/UpvqE+coY5uLdYI7cM5yIKpT0kbZMPEoo+StyVFty563nJrUYuFL5JXvtL+N0ZPIltuWdegFqwrDgcS8yn7qj5AE050a3TfYeRD2Fb1JK+Lbq14CbkLKYeqLphn8OjWlq7DyDcZXdWREA4td0x8D3yCDH7/7i9RzYnIh0jj9+7bjGqyuIMk2v899NPI9ly3Fei/C/RbM/SX4YFQ9kWIBv7vCE6G/59tUkW3nugWEvEYs7NzK7Uuvxnq12oCEFoh5Oo/Cu90sBLqP7kN/0c/xRfCc8sm4MOiNnw+5D47JrnZFdcKnnIzvgg8Ogm0bERnUXrtdyT3GpB1WD9B/5+oBq98FHGz5ZYPn+FH0dcDezu3KvrBGoIIbD3QYf38a/j/xDPor+DrAC0Ri/J7IX7xy+7zDe8uNo0vAsb3I2op+vxrgbrfkGc6eQXScuuOyT9PNaUoP0UpLW2Tr0w0pUQwKRXPbR8pJPFYURvw+o5SUtQK7dwxl5n8CSqT+hS88ttvmev5obRFrZQ1cYsr4cH8f4tDCTpv5STCiG/JgRfRt5SII7fwIOBrhZD41sRX61uuUCb15sBuG0Q5GaI5tmtEb8vXiNxXS0Uz09a82m27Zf0wX22xRj4FvYnBGq0fwPs60ztopPV9pMfix8JhmA8leYk5JJEYNW8VTizwi7ByQONHJx3EXfgjxRTc8VLkRGl7KpXSsNx+Eg5RT22AI0RyhUwELShTQPxM7SN9WJ4eWd1yy+0+jHA8S0l0ZX489WH2+ATAoBM1IFWLojbbx9wpcmGhmiJJcbAMoZte3cDRV+k4RW1KiZaP8XbjoEHErRFFNcCvE/mt1HDiyzkbqHhym3b0G1jRXjxw37w0slBFfVGGnVY5qPgYva+9L7MyEtOq7TDx011kUWMgSDdVn19NcwhPpUTkPnGtaM50qehtX+DVB1LRnI0RwLsI4FuEyP1whGjOKUrcmznOAcODhAL5sLT5uklodThchZDDugAhB7t25IL0owYhB+FKBy/vRWs7HlZvcA18DPdsc9yu5TtxbSWej3pDCzWcGk5zXI9nT1wtpzYt3Ls1V6coM8ymdpM2jts91DqM60WGUK+Ra3KkzjIqunOS43ZjTKaFA+ZFYLEOMJLC5gsJv2PCgPZ+edCFCCnXQzWZe1qXRY3afjpDq+LbpIftPURMoe7kYWLl8UTH7fQ3jT2KdThHn+TKrexSvi8cjo8yQvoD3T4KrfxkUdaYO0dPdvpQP+lsTTQEGma/W48omd2gs2fWn2TojEqUUuR8arTI6ekopC/0iuwX9o6AkG8u3AJ+mIjB028dfek9Xi8nBt5WhiH7PIG4Mr9Yy8Ms8Eu4xDbbcXuhDo1ZPRv1G6S7/ittv6wf1TdKNWUlW8TIHjJUMpDsKj6S159zNnOlch5asbLGbLj7aKjHRbsKaDfBfhQTD34uevupc5o/oiCVWfnXYYgCxt6YlX/ubHyNYrZcyvXGpQpveaTiHXkEdw4eoZgjD+e+i4cr3pVTODqbsJY7E1+rmClfw30HjwSLioqLtbdHK5mktCRSC7xTStYrd4RqAkKTRUJ8VOk2kT0+SuT0yyjRpJpRopFPR4nsEHfcfqT8iZGKZTWjlEmUjlziuB1iGHUVw1nbF4yMHcgwxbLVo+qSqBTybRhvFvl2lFQpoX5veDsx5u0NwoORGEWQm7QZrpinbsw8rR3Jke+hG3JH18uoQ6S/UUqnkDy/GGOEH3DJbT/1PhG59Yp8YWWXa2J+j1HqGuHBP+CrV+rAu1lkoD7NXpGfRdct7E+RRMpKtxX1KI8LLeVWIcq4upbq1OeuKdRownmaNHeH43Zqi4E4f7UmyvDjDVybaBmlTXrppbWKFaM44URsCMQ1qa2ZVY4+F9Q6/J3hB/HV0sxkwIo7L7BMKzLquJRqM+D0vX/1Om7PiUQzmafOu23WhZIYobqz31PnsayTg2xb3PUz+Li25wEP5I6+thIqseH1tySUuuH1Ibpw+VA78EZFhvAjvNZl4ynzofyFeqlyge38d/6SctOiPKySuNNBqyoZOzpLg738u2ZXdfNYPc4Lmgrz43rQ440mPU49SYdk9+hGMXtM74EGXd7ZBTq8bwqjw8iyoxVIg8w9XP81N1wp7bXXd7Rh7pu1e/mcTJULTwh/taFKXFilxGfoPDNyItMipulE7lVjRDPJMaLXpWNFrroxInc+NmZ7mG4U1Z6aSEKclq0bo+QjrR5FKyfFjZqzWb4bvcUzOj5Nh5CP/NDtZAfMC6RP1jyEi1Qa+eaczWZriP8P1jBpzitruFz8F7JH3S2zNZzIQGP5+fw3MnpJ67cO9g6Yx28NHITs9Pb2HKWU8Bd30bJvc1ou27ytJVu5mkN6+zZMrBZ3KaX0V53ZgP8XkRWsR/OfMj+JHk9UywNMOM+D9nX5yVQI4dMh85QpXOTjxLoCdZpRKWH8VbKTkxtTWAeYtLnqAR1HPtBaxoqRtNMWTn5/edvh7BhZAVOrUOcJtQgJxx5n5oHMynE+q6UXVKF4UZ2QJKMyE/kYtaQKy7QkMRcZ1doQZCgDXVV3elHlsvngF1yeWwkUXn740kxb3QugN+VC0jbcNYl+n+i6n99yuf8uo3e7GjDQu6QG7FLmdAm9p+F3ATrNsBHyf3HcnnKmXlb3l18UATMXaP7l4l96l9Hc9h/8ZK6RconclLryT8qXWILS/CLY1JbLE/5QSlzVRT30QrKLJsnbLmuQ1njEdGGvb9aO5nMc+C487Rg+R1iZgGsrlXh+xoy9zqA1xzNEJ0vHiM7UjxEdDR0ryuePFbkT2KjtDzJ2hz0FrSkArSHHEozW7DZmkmMw7UGSU1SrvT+cM2czShWdNOBIK45nKCVCFf9DN3fQHzXfpD9IN6hvSKecSJixI8E2az3UZRhXQi6BuXdkaI+yMFKmkVAjO61KYkoiXCPwQBjfbxpmLKOLAcEjDZHZOIvjp1/huKeOTiDTaTt1/2sX0QklOTNXA7/OzNlA7yZVhyVFjUqJ+Gl0a7/67e2WwxAVelKKc4+RGHPC4PKEK6Cp6V6/Ik0FT/zyhGakqWMvDG7t4Yne0/bjQMddXUfAPAZ6w9jrJai5W/eviYFNSiSNnT8wuy5nUiS0fWd990Wg/wLMCVqdPToxclu5HOlHKVrRzm9Gzzt/qZfSCvL3RJ0ogXRm/bK631FLD+/RJFE5ixCCX87ucjVgVEYeSRA/AyfkgYaIbBxxAe1NZFHTdEUZoNtj1P1BUsvIBzqH0csw/duVGCdm7EHO6OkSPC2T6OinNpaNwSVUvAWGTki46kYrWKw6L6G6G9wdt+NTvB951oT2gG/Xx/hLl3f+U2t/BAN7uVl3Hpd4veJ+wSvuz9DRSeQBxP2Ic0P4lfXozNifYfz/GuObJslPpKw7nb6XUJaddu9mnpJQWOfrgK/HXFOQDY6WiJweY6vPzNmOZhzEXWj/OxKzDfLuYeSTh+ZVCY64HInkcxtxOUwWcQHaPzJc4uhb2PP+eYafFyefd3QUpzA7xJcP/RPqZUkmI96zNXcez09Ee7noufg8nWR5MfGAKMHSOUpp8pOvgHyu0tZE4SwCPD/OZAnL+yqMSm/AEO9ZvvSnCRFfhpHnPi/gRxUlhygDIxl+/Yb2L/mRTSp9gw4Xub/ANGZ+QDy1MtlWgs+jIsswSylFVWHvzrOUTg30UNf7eJD2vtQX9dgMtQMfpi0JlWqBZVrYYYTEA1yAHfZai1gxlOF6LCvDAnWuunEgO1QSyW/GoyxqdiC1rt6OI0uTULUNoxy3s1J0Mzp/df9cvlRnx+wXGRFnCYno9acw3jQJ8iREDrizaAL8G/fUWfTmL86i8TXOwN8yyo+wAv2L5y6rERFJNIeMZ+cw6YPvcHHP7GxFniVmK8nfQu1vwMK2TAyc1g783If0GnkbBeCLG2a/RoMvHkLHk7FIb/6uNVQC2Ye0JgoiiUWNU4F3xXEQd/SWbGF3QZyYXRCQr9K1uXcZNa69Czyyyzuv/t94U0x8+BcXaAR+8Dq7QO/wzq5TgRRRhUUlhqb4XjDjbPRL0PWOAbTZuYv+B3EORYGO272WIQtDO3rJV4WkE9dx+7RWzxrvR4x9/IQ06NDeDwqF/JM8fUqvD1jfF/U/xY2Wp9Etl8o5MWxtwmVGK2pht6mFV/V/0Gc1YCqpw3IpNsJSfECsvKLXvIqmlm5U1eXUuPQGtz9pC+oOeRr6ePmjFXVhNfU9TV0JEVc22aWZIqvLOzWDIqta3Vi06vRoM+inWmEQ8DN5BCD0JAz333/1iS52HrM6tHvsdZMsZVQGOQmtc+vj2zgKg4Zr+7nWcrhPrA0+vyjdQ/0tjpA594B3VxMbJxwgx2itcGLHx/tWIRkqCjR8at0jjlDNtxjD+DsUoCqbR8U8GiMkffiUpsHKGsNw5ZSBOvSXj3oI6Q57vewRlkiCP55HjkHp3aniNjRLiHtyYKbRW/Vi3EKrMQpD8hjP5ts6cWuJDLzVkTmyHcu+ts9UT+FpM0iOtkqFG0Hf4mKWprIeOiHQqnkW7Fw0hZmL9DAStBObNQ+dn8Ab0EjfNXANAgvUW1GjnjTg3H+RGCARwexCXrauBlQ/KOtF8wFClQlJCG9QvfuXCIlbdhM/ix1lRPcoSCVFb/P6RHN4fU906fNMvt6/iKAdoaI32/o0aIX69Tt9ovG1faJx/v2AL2moJRNP95E2imXh/cokTYNbdhQplyw9i1oE/5hnu/CJTgF0IYpaKtE8o+5HFK0AilqYiK/bQARcCbNLO75qRHjT5qCt+VsttzVFBX2W/5nluvrtgTtyd6xdHReLBzwtjpNRX7/gaYfhfHGj7cISqUeixPeKlHouwcWJ8JYk8UW9pN5CZwjUhHPEPVWI6gH0E92FbHrWjTQpyOn6siWuKtS79eVZj5Y3IumUSOmoFy9CWr8/qyOZ30msS6ByVC4q3XVmX+3zlsuLLmy98JaETmzoMcqEOjVmlIp1aRCtAzaM8ZPSjxqM4tZZZ3uXuWW/4D/Ws39DlG8ZjLIwaQ74qbamsr8UoxQPYosvSiWGoXQPMgJHed6tnxYrJfSdvE0QNT0Uucudcvvv/SWaaetU/vJm54OGqJeu8QkRx00241a5Y5lG4t3qMAyQfVxbIPK/tfHxvlnbiflidVEjQ10B+QHXoF7s2aUoUH9Q2FzwGFIWF1SjXWLPOkj7h2eTopRc4vlIUTplScFTRan9Es8nilLJEkXZsiWeHeJ2esujDd7AK59hWkEr9534Yz7rI6jwY1i0jc+0lsvVggvqYz7ivhyduDtoC7xbmDxetZoj7t5Pg7/S3XKrohn9ogXQf9ksrFDnRVb3e/Q2YMxK3fM8XJyCfGfqi15MnFIulZf5yeix5LoB9GxSIvxcdKp3GfjKnHY75EcuV95+XtlipCP713eCvL/bNzJfXagcG+BdI66G95ICmVfeNSchKS306vgHnREj5Hds59jP0KUovAKtMb2hgSPk8ycFRthKXXWKWWTI8S69qpSTFqFVEk5pivy90x4X6IoeiU4SWJoUnebI14mb0ZkHiCGYUxdpUj5KfxvS2/ah3awfmQhXMsVt7NVom1gX0NPrJKaKpA/yV9VLD5Dg/fdoScyH+qITE/dkMes8yG72Q+nF0wOlTC/uhTq+tKhnLJk1Tz4lrl1epl1mjxW118vQO+cZ+y5+VipN+1we9EQnfhonDY1/kFzUynnBacSD4mrj2ji9nPq47rg6jpFT+yBRKYEZ2PqFqzzAQ7XNl64/wC2V2q4TWn03W5zFnW+FxUmR9XtYdqDfclkHNR7v9dacrpl4FOzler6GWk5sa7lckYn8HkrY6Zy1/bYqSvWEofsB4Mmjh6HJQeqcRBjrn6S4VCYvy42huzoWQh9rbf3LdUV15VLwWxdWphQ+Mibu2x6k40oMsxF/3MfmfxQcFaqk6g7gE49SX+3FPVTf+dxEeHA4X01YEkR7Zw4TA0djt2JUMo50fypdRtroE19i9K95tiUyIlB5VaicglE7crGWk7tXC0kb3jtEnk/LyVurwEviCr5B/SFpOUtZPKVGWYLOLrYokeV8HvJUX1XGWZ/IqZvRXZlSVJO/TNxoKcuXlsSgSFef2MER95bL9PeaONTLjuWU1hJTBq1Xuq5L3CGff7snONGDTMSprwwfm8dEjSI/QSOgdu59pwRm99S91AhCjMZBf7a8N056W+NhtcU3cptRl59SVHtysyKAb7P/CugJ/3hUcHLW9nIWQ9NIV0XZgdlUMik2StOZmUirTnyPjcHDZB78TozaXInpwc/avZ3qlOBhMj35wod63uBuWJqNT8swarQk32f3vImRwUqq9gbEbB39JTK/0b5pVLwXPjHygxShXTknJaJUOn0P2tE5vVdFjOAX7RVnqGReHzphot1HMD3Bx7NqcqVeS7Mx1wxHY46UsKQbJFS+1FJ2Uyeuo142LMyVFrVeuZTA/u7g8okUZtWz1bcgSD0i0m8tbSXwL5cKC8diVCwZVSrjNPpt99B84guz9AqY+7Z2r6BfEzhSAstIqvYAHm2DbQhpLJWhEkQQpSU/KZHRm7rFtI3AJ6SRLVH9ebm0G0ZCr+10KpXRe0nxWBpkORZp9Wlp8DrV1qKaOCkRdFpX1HpmM7eUbzO2BGoNR5porNXvmoIHJ3do0reXZyhKC2bvh7xVkYrS/bONUnoP35HlNNWpwowyPf+OD9Xe8XX6dqPGKzQbd1l3OgPFfenzDkd6q6jwKkyoYnhq57sHPDJsovSjXUL7a5yUSOCpVqvixxZmqPgjyKIMsc6w1AlTyUS7SzE934BBa5jopCc+Q+dIA0959BN1yHGpkiyq2yXb36KS2koSSbqmYdpIKW1HvjlNSkV0YhDz14mNiRFjA1pOrmwfimkI0TJi/h3TCKmQVL/NoJkCYRggsS+1phNrkvGhN3Ev3dBgh/CG8Qhfz6LE9c+k+xvqAc+ozZ1YNGazHehpGCkFL24UvNtcHpkjjavl9BZ1v18UJ3uSeDuFvklaBUtDk58k5sjSKYj7nndcNkp3U/TO0OJ6qYeq3IdqK0PzgyPdUVpkudbDstLntsq+FO2J5fawZ5O8G1tOzm3xk7rGp80vTJmeLUh23T+2OtrGaT1ni7OqHJBgUSwdSvS1nHz4q6PvWxK0cnrUko7z6kfxY7RN9mdxMtG06aNFbz4dBfaW8MiAdu7FGUj/s+blyLIosKLFgCF/SYZp1ZbuWfOQjDNVJFbzBPCqlMSYEUd0jhISPvyWkzvLvj8fJ/Ugt/jW1+oFnVh+MvgRJyf8hH4lora5CbiHEK/lZP9z5Ee4qiKVuevGGoHe4JKIFcrgan3yj4BDEyppO+IytKPe7otaQW08RKf+tWq7gTaKW1AblIAYher9C1uhpNcsv/CoyChlLX30KUR/k5T1/SSM7zd0DKfqQ2qHpuytDJOOopyl9LP6Z2e+ZPzBZ7d7FMf4mGUUomJnMYo81cyKbjDQsLMJ+V2R2367ZC4dUjtQ+tDFoaUPNaDSzlEhtWsN9Sm5627W3tZEbqN7PtJTxoPDm7a+W4Bop19K/oqUMogEs1yhmi+lN3U2WUboVQ0+rPRL/0TSF/dC/xWJ0nxNUfVFy6Ie/KhKqtcc88nXFVXT8YKZqgjOlmAV6Ec1vQRpQLEeZqDAyC1IB2hOVd/3gbRt1QyQP8g+TSKaBhpwcmfjI8PN2voURNcRwy7wCF9gRYl0huW3HKlevcP3dqI+pQGblQ2yASS+rTHqimojt+Wn0C8+yqP3CXJzP7+dODubI63fpgcdQGW1unLOcGlp5CmtkCRjxTo+uYv0hMjPNhLZtciGxIr2IowUkvz5opNn8XydMGEc5qlDK0eOFP0TOc4sQRJHf1mbg6g1ueHtc+Hm1caiZ9g8y7XMOuPJuUfMq+7MSdqTc28hrjchP/nkzv3jt/VFjV/3YnvhDmaN3Yk7E3fq27xia9HWFZ8VfbZ8B3iME+Nig9RPtvitHRFJjyByqboji5F+URzBunIplUmuAQRd1bmqVIa8jurxaCZ2CqRqMxEGfxBSjfwFcePai0RAgKFEuvcvqJNFLoc60s5xpTKIc8NyY6i6jrDQZLSz9jCWsiddUQ16xItv5QHU8wMv9cpPfKNbW7r9toMn0NvRA3U/684G9JBe3Kzftc238BsuzOIeml04/Ro5Pmv7E7MPhNlsSZQpynSzqT2kjdkOqBdqCzTDtflQdQ0WWYPiWNbCb1zNkdK02hL5R6g8iopoB5I3yL7Xdq4x2bdmfjHrBVH9B1pYOqNbYDZa1zkCxqaG+DCGbut4xmmk0gVL0OyC2YCuQHkPQQcG5cI7/YigGzlDqSiRHY4kJEo+pW3AilRamAeGSwOHaMwM3WmdVyjSlyoMrRHyYwwwDxTobGgU1aF5gGpQj8+VGQ+Ut8JcgPY8a43Sfcz4E2XoFLBp9o/R8zswurP+iZ4s87l/lr+dWfE72S8Hncn0wo2v0OXhMXZlSFv2or9Xp+98gemTX8I89CBRXA3xerNRE93q1sdp9Ehu8CmVHWnJl96lXT+Sz8+pCY4v1GRt91B94luuZCUTqkSy2bCZenkAB31MoIYTIwme1nI0RjvG9warczQjwuWSuIjcGJZTBVjplpsZBW3BOjqOeEBXFzygxpDT6P4DG5GeQISGOO0nTj6uZvTj3t5U+qm6W5ycL730ME6qisnplc/Xq6p88pcJNSpsRXxRTXmSN9C0KwJRZaaJ/oZcQ3UfELSctO7/4IaWHA2cVfus0GmV4HEoBVh+JN1c/15R4uFhVLoSPMjWmOOaLcUlMdSqqhGnpaqtweug3VbgRW/6djTHm2d4NJvtN0Zju7fCvFGt9qmXpbN6peJjlD3f26xX4NU3dtghvSp81HKygg6Wgi69yEkKUq/fLJf8fCknaf3mILUyUC6hhfeeFOyvT+y+xPKq3ZAj20fVx2T5yadQiaQLixCxzP5Dlp9Zh51raQvywTkTLjvOK29Nm2+5VozOWpxsMQ7smCKM6E9hkDmcv3XLhb3PaVvLZyrpnpgUEigsPR5D13WUnpbRe8jS22h1tpX+tPVarnQ/aPfl4cirKOw9XdNy8kRLQYzhyDUnrTKi0KsdPAuifXuGLG50/t6UOK8A8CwKCjhagpjkAkhq4KTFFehuR+5PXS+jX1Q1jYgEy+84cIG1qEWF1GjLSWy8QmvIH25L8SCYh53pf7T+kCulY8kfmF6hz+jGghivXPBm+JGFBuhTq0R9cuymZaTEGZg+SzlCFdtn2as+R0jpJ1UlQcko1tlSgFaYiKDJF3abPGXNe6wnB16csgqjuq4bwWZ8QM7G4zKEg0pFUTtgWiK5sFTmqgFv+0vAp6/aFyLkozlEEadxvwGwIJk84yID5DgTmnw7EWYPcjszH1wvfCKlN3S7ioHrsePYKFfcJ+7G/cVqpYQa0bk7utV694B+EUGgFVXGR3G10a0n8rRkZ3+TzqOzgeOR0gA0LdpjGW5fwJx3+gzNiUiWbg/yE7UC+Wjb+W8FTc/WJ+b7uKZTcZZZnO2hqhy0E3zSuoVeimbE1BL2voNgJR03pZ/aLckUvSkfLZo2cTToY+eVYtabpg4wvvTa7npxclwtHvT9RVuakKDIQms/BfNQNWB8PtWkGk9Z8cfnqKMYXXRkdDFSNob1LPgkdrD0zJdoD6nw2T6/tPlFrd61SA+jC1k9TIxwjpgYCO91SA9VMnHtaOAjnSRYhQcRC5cWFKoICb2r3k4jERtBEr8WqkdKt3QCAt1GNNWdZiRxkIwCOmPaPRlJcIm3OY1EUFDyI8gFnGjqyN16GuUoJFYYogo02cr8DBFGoAnXuw5oTfNPGvJGYW74suPayS/j7OR7Cp45+uU8umkUxyeuLeydjeg/zuxb7W+A2fYmY0mL7iKvLDh8vSxj7djzCAsGW+dgLCBuDrTqXHuzl2n1EWrV+tjfW235FbXqHB4sfbLVuXYH6yd1qjOQn9Q24Cd93Zlu8pMYnQgMQjpRBHbScvGVn9Q7xE9KEUwz+0knfmb9JLfDqPf1rJ8U19D3loQ+0PDmUD+p5bdHBibGMZauotvV+5wZOugNnfvws7u3i9XDIwykDXY4Qqvq7Ed3wPSO1suqsHydimTPmxHk41TxAdrO0J8j9bLnoXtjsttTC3W7SHGGYxg6q7NImSNLoCDyQucU3cUZVn7yyVQSMWaoP2vDoF0mwcdCaikFceC7Lzl2+J7Tz7J804LEjO+9KB1p2DLQsImBSPcXFSMNCwFrStUNQtE40vE/oyjxoxlBnWu5U0nMMpydMSt2mRGU+X3RyYrzLII6Q8tueXqy1Ye1A3irde7m9Dmrh58Kk46hciKpzVUvBlA5p6a8dwCXozVDcTn6DGp1RPj6rdBO54A/b9amAY9l9I8DbTrXltcMtOkWP7RNtxMspSPWIlorWhPmtVyuOBRdvfMuzKsbO99ENoLWgaJbd8Y1yZxljnQRzPhupxWzVDYqGdVl2JQrpWrbMcAlRXT1oS6KS7gapdxzJKYdPRnTJxzBVBbUpvemeFhY+lIbx3C1o0djVA8xOUcq/HAMpieQX38OK1FSm85O0qRQtQF4dPXDvhyp3rLQh6pdBm/9vWYpL/ublKksYmFoLZR/yTWobVQxVHv9JmrLlKcwjofUMNL1b6jUp3qd0dLWUo7W3h6wvOr1HKkyjrGZ5x1YgZra2emyP5WqVcNoKpJYLQYfDd5aEv9nJEORju18MUKy7IeP2V+5Ij1DsU7FPsTlHKkY6YOqXrZ7Xo7UwRJGUKN2p8ZYzhTyffhxtboODFPkBnqzvwyWzLaMIOZrArwbRULcTmQP/5x+sRNNemonGjnRXmQ30R709xs/KbUkm5PF7Csx6z1ZZLli2Wo7fecUnMogtymW1dgpk6j95PbjMSppgW4/iWYsveEALkb7vi+iq4uv+m1H8l1Uzi1Q2VAdN2aqZHG1VHgHBlpwJbp67lPkO9bLPMha8E53xYB9yPnBqkiqth44c0IB3lzrIsUeqTKQSq+ClNQ4lVSYbA8+Df1YjYN/c4eEVDd54loWh0pxhEPAleydbRctXQGHpmd7CACB9tOEAONsCVLdBI6dUDKRevZc5iwAP2IAf6g9DV//DX9SHhlohcWftxPvXgip9ttu1li3S6b1w5cdmFmPiYVAbSURcOoCq6WULKGxXuphwfOlnpO4OEElpfrIBsBNfpcJN0s7EL2FxpLeluyVjwA5HzHIWW97NBi8NkGqXp2LFUIaRZBrgiMRfoL8u+kQRP3KnxH1nkOpjxxKvXUcUM/n/56j3niBkJzSm0eA5nrrUwjbkSZ2+gjLOvt36LpT/WTo5AVfqq9q4KyXsmifRislfjLq887QQhVV2wCSm9vEl46MGU5Sm0FK1SsfTYthn4obCyBepGSdG5QKcVeRqjQC/a6cnD8NYlBHaloG+A7zkaZjRmFl57xTqWmpKtIvhroDkQb/FoNiNrR57SaunfMMejrE8hbR63YZWRbdVhX7N8v6qrMPLKtTXfDbaTFQWIp0KweoodGcSI215LD+HZVELvlPmAY5e8lA51rWTmrO/5cyWtLfudb8jlYwqAP8OeClXiHLAaUgHkOeoncjyOd6yJoMWcEWPykeSBMWPxjAa9SqIl95qnF2+RkpcuSnwnw1SX/2N45encdxiUiTH9fplXk+9Eviup7s8qmLyIcIYctRRBdd034tRaE3VHHSFA7Q9/Dz3Fz+yLHG6OoJl9C5EmHlddwzY3r2FT41qhJJ4oLCoBpJP+ruUxj4QtUWutbQB35d9dzEgXlLnAweQHb/UaRFdGbDSdO8lf2Q8QAQ9k34jo0RlBJAqe9YBHHpYBFkSjtCEDzw/4gh2RPuAYb8I7sVIQWDGinkEwZvsTfRyeQnQTBfRVe7PQpNxiUQo1cfUoXIKCHZOI1d26s+dKFEtl6qIsVdEFFjGol3l9jIxMkbOi2eSb9vKYkBffuyCvMEun3WsT7uJlmhLojRY6S5kWBHHoIqn00yZaAH/xFHaG+HzYBIF2GvPrSTAxhSTnKo5y64pyZxbbnK5M9cMuNI/wlXFWcLQo1FV1RSZ1k5+DKOdGAkq9kzdGmg2egMJqvZsUYtaPbZVL+YvaDbp1XUnTJMz7/sw572iqsDzTw+I3IXIECBj2cvhRXYBctypPtTYUT19ZhHVT0HWR68oZmhuv/0SHQ2cBT7rJJqVfaYMs4juQrwj2pUe1Cx/DlxMvo2eRIke1IxmT9yfw1ITSXcS3Bc1mmXXsdP7xWrFV6qkWg9VeHFF8L8A7PeoV2+fHp0AXB+pSI0OSfpybYgdXR1xROjuqiVWSuptn4Smhys3hUVXR39GK1HbfPNiUIxBcyHd0tlqEwaYB9Vi3B80V/p220jTzMr1VC+iZtHjhxLQ9uPPVXo/KKwqhQXo9P6QEUlpigggQoXNPe+vELSexuAiuKmkGpx8oNEsHyErdUrG6Ht/g5X1vbh/dlAPoHy6znS0GQU5zxJZKnaeQvF65CTcLM2n1lTg+crqshEPjOTVK/8BmaS6v6DiJ+0Y2cTQpmibtC8u6yGH9fIJUBHnzEyPcw5km4vLTGvMnJh5k2b752IZl63DnMMMTEQPLHsuYcZD0/9uChO+iB5RXJRKy6Ja+PUyoHGlrtGjcs64Jd6l9Tk2VQfMv6tVWY+r2gd2urDTMZrkkJUzbWM31pQGpEWqVXx5x/PsI3cFzYERUM7501PtU3lk4B7SzoBRVlfcLdR3GXGUaCk3P4FhnFdEwvZWM0beavZ0Y/Md2XcROensqPbmJM9avDFFAMWWgzzbU7MevVt0PosQJuWn9Z/aSfNkaE1whIYUf+LNKMyEEUvWp0LhqJYFUFFq6y6IYpEuEW1q7s8BG0+OVKqdUq32ddiTwcMxtI6Y5AJf2GObzcjqdvTApkZPc0xt11MnN3xjBQFE3MDHmoh5vaT6vmV7O5B7fcXTV5BdUV/5DqIP/g9Pmj9COzkLgm6dqIXUa/GjUD9iR6kNVTbAdDG6Dqk1a9dMM3lgZBbNxZ0ZlEdm3/o/HWDs+bdYg/+NR96U8Ezrc4Oo7vKwO8i2Lnoiw7stJru7+jZm2pryEkMqV6RHF2det67q1BVd84s98SIBD/v2pbdu5c4S2cb4hANba/WNbLdjAPjfbWusYWZLxRe5vHyiUnrZSMi9arfTCMG2p6w/R05nzb4dwEVopm27iJ3ubtoTto0+PeG6O2Jbq9+G5C96P6gEywv4P1P9NuAzHiS+a2BSxfQ8wekbHj164Fst3vMmRVVG0fXg2Ha5OYAriGZmyZF9w4p/Wc89tQV6gpa0Q6+dzPaw0d79+oPCns8ewf28Atq0B5+wRNmD/8ps4ffjvbwC56Z9/ALXog76Oe1wd6glZi1EO3h8475RG2h2779sCW7evgF8piPmM7RiR8FRcC71aD9+0cQXcWAz9b699377lSxuqiW3b9vwIpqXaTsDn4nPCeCH7deStuQnNyIISegst3O5j/qXUZbtS/mjcpVjg1wqRPNnO4mcvd1E8354C3R26vfEs3c+BZwGJ4PvyGaeeqNluyW6wovufPgfS+FJ+78H3bzSf6ksHDbNS5K532KmRYh7L1Vud0e6nqQa6GuyAj9NzK77E45uqIudg8f7ezDW/PgHX3gROs+uiRGYbDiC8EKC9v2l9nDHM2dMmU69aR+W4k0Vuhcy+zuSykdubn3Y6X0gQ5/v6gu7imnJq6X08Qxcurj6jlP4vrimuIabRc0gXmBXNd7qKtw8w549lK+zCO5AdOSVjYJlFBgZaHwFDArGtyCZL6W5FsozpPsCsea38bUAyKUgvfF9WBXPZqklHzrImpTRDC1rNXOKI1aU/Il2gHuDSnaa9eDB+KLcH/5InlgGmVYn41TSb/zEAXMGUsLdm351btNFvXOiE4fqruBg+4bpAL6ONSdCrwg7lkqW+Yb5v4KdhWaWKQpo5ZcwzfFe/YoXWIylAQ98vcX1AhrK6OsN5ROrlpnlIFvu7shuDeUOnDXSkvEiuWB07OppAKMOT3lovBiR0nL2vvMI6ZX//Ykba1WI3jPuN82XClxy+7mc03lqHV1/NwYrsHKIu55XKenzmaerp7xm8KcIwiJyOnKeE3AjlCR3dPxokm/jBeNrBnfkn2iDFGe8+p8hc9ciLLGK5P2QrqVhYtMKJC/luZfqIudx8wXKUN2XbLZ+A+d3+nmHz4Lo9p19xkVHoFF26zyPhYwvDhXJq4ukYm70XkOKxtxuzLwRGEVX1eLofuUPir4K3YYMx8ksL+JM913lB2tR60KKKEldyOl2IpPDbINF/J47zXFh6Xjgcr5ISlmzlD1L5C0+EhWpn2QBBmu8DKtd3W+4Jif9YYXmLbMHtM/NuDUB7kTEYeJAQ73vXjhkvKKj21NrghdVLK0SCJQrPPUCUn1h27uZViYrGQLRRo4KBela0nyI7eTZVi5zAvQyQP8PgWTU5ihVauYnOORiqJkvkfnPcyS1JPNGHgoY/TgNWaqX391lq1Dl8zQ3rtMqcDf602hbMgZ1PpzIWhkaA+I2XvyswxvSrSNWp8Sk1yaUqJB/dx+JbXL/vXSAV01hGbjBTpKtsxBr2zyYXdfkOd+JZB6VOqK5jzbQKql9PVeL2ptGy8/8gLMIZeSdpEFuiwKvFtenCyLOny1FPzCZbIw8+63+8AqDGVLflkiZdb3ZeAvruoUM/tGu/vrvjegW2rp1vYedkfQGMHu7zxJEOuEGRYcPqnN8MKm6bQfqvDVMSIb4E8G2vHxzBC5e+Jo1/90hnGfrRTt/QfquC6SsYnkcZ3XMifw4gyhq3CbqwWAqVjsvquJ0qYUYco4TNjdiQGljXlbXaVa+9mAuaKTefh/pHosuSlRqpwirtla5OY0k3ylQ40vIjlShclqCnXJJqspneYcoQSrOTWeOTM7EqzGbvoEZDkwX6UjPpvPJVEHmV/WjGfO8zltJkFH9ag9jtS5TWgpf61QlzWPWaXa/fCuWdOZX0fsfsjc/+O8+ZFhiJSaSkeYpFRdOqLXi45qaxoqJTq6s3brJVcZWJ57J7/7DB3QevpKAeXfis4gcOjxlSdLvuz9hzhhfI88UI7wzQ8P9IoGdBtmRwDKcxH1DH8skl9pTaEZ4Xa1+1CdBg619DKXulOCn1Y8i2PzOwahm9KEbjN6NsUr+cyv3/z4L+k468sMuimrxvvJ6NSGImMMsgxUH80unt2JfM9qhOUIxdsLTqthdJ+1/TncUKBmR0x3l7Y+NpjS7+3Vv0p/UXrnsQF8pkcbz2WSnf3TpNyLyfy08O5UB9OpUOEdFY58fmRRYeniLJd0XGIbFFMd2GZMnNYzMZux+CmKAktW6lf5yzVoDttIj+rs40byxr6i06qeowww6nKZm3zcsg18hcFUB/l2NqvGI9kKx7pgSF/KdbvN+jKM1ZcroCcmnWFQ9un4lt0rn6KW9SodZj5Tc9mR1RiI/0eivIH+ZOQrGq/wF+OSw4bcSLQjUsDsiOxPBa+rdVFvSYxYbZ/LrOPcM+2J7O7/yTWRxevv50/P9rBEeyI0aZlQEhWiYu7X3P3wPrMnsnvlKXZPJEhJx+n66L1eatGbH7wmmpbm2LL7UP2VYheIYxPmtWQX//TuuXq0Ct+67KqH5oVPvYx6PgUXa1RSunPKlZIY5wgPstuHpSPwNqID6l/LkebHi6svDhO34UfjpJrkfJ24en81cM4lLsIvwkUF/f/GrMLvfsisADgPWoVnT6xcFpVIRW8+dWTWkoCmlffvGhDXIYp4rVyHfsOBrKmf+e2f5DGKI4LQ+Jk13/cvqaRCtRTbI6UUw8WFOqVCbDRKbaOF1tbu4kOKKdYYsxI+57RUrGPOCNYHr0uU+bVxnnP6/HYZNVQ6ublJHZxyc+36l349055t6uZOkY80JoZsXr8u7X3v6pi/AlvECS86ojS7ZPIAqk2N64ken5sy5VXGI41kZou3x1BMHG2THQKzgg+92uCTVqMMCOvEg9LCSx6HJk9rH36UGmbJc5ZpdZ4YQexPRWfWZvkW6kZIT+uYFQgbpyBXjWdivowKf4FFY7t3ID1hf735C+3Bf9OX+lLDjYtAI195eOz1XVItfxz2WydBPDIYZR7kHF+xbo+MpSL29TBNRLFR5vK5nj/bd6RMn9iB6clPcdSPx/BlvtSo4ajU5LAGz2Tbo9DeOepDwhXkg9b/vzG8gXquVEWp2N7Rbs3Th+vXwhzwK2mZKJsmu5tKxZJLSmUDMZYNN2zQGQ6oz8uN8ZJYY0KyU1SgK3weO8+ZPcmx+1DCEJ9i9yFm9s+NCI5o2V3Ro5gtn8b1xqcpvOVvcd/B31K8I3+TOwd/k/su/obiXbkrc77DnTsTd1fMlLtxZ+NuijnyNyACmR4XWyIN0dClZAeazyJldE9DW6R0DEV/OaW9PsaDfORDPa/HPNV0a0NbTnhJjAev08fZZFOqI0iXwRfZXazLT0QYbrvg+/n4UbTPmJ9OpVuCPBZvK/ksVJWLTpzsXnmU/gfS54qXrF2FgF1J+9E5wmjslkz05kawrdWvAT9PPjW4pPSGujnd4UNk2O2iAQR3auN/egnRaOYfux/wn+YwegJpV9l49iQaR2kk/XWViontnoPPR+bKnKuRp4aswzkccbblmZmzOax9HESc5YRHt66Mb5LRnW0+YkiN9THtz9LiR6b92eGdp6NbrU+beompSh7Sy9pX/uDuimawwAxdoll2D3XMTZXn4mT7KKOU8VPdi/Yr8gTI5lLImeYR5jEjROmvRiYkxwyewZsao1sfKuLW53xp3KLiC3+3Q7sVT5wfcWhn9fliImDq2dNSsOz6tFPIvolTRpX3urE1oMNrXFWhPR7Jx7BgzW+Qun5NYZT3drAHtTfYlvjZTRna0cciKB464eoTbpQV6MTdu2R0IrmGptULOO3lMrCPggYsX4ZudfBo6sDArvnlspwYbiBpc0FZ5YPOSzpNqHx6u9e5IajTMioyPCcqzf/mYz/NtBTl0ax5aMbyDaS+qMSuSJjV2ucZWJoEvK3PXmBoHn8x4G2tAfsDTUReEyXttEBacBc8L7p6yoSCwSd1HMkxAx4XvbrThfW4Km4O9kNoHblmzKqhXiDyK2jplM7/L1TRn3d2TJQGJTxZu2vb+m3e4d5bm5RRKir8MebA7+yPGy20/4HjZydP890zXSscPgajU5SfvYhMiTBK0TnZwr2rvxaO9sK03/A5KiInpmivR2QpLt7rtQKdmb2OefCv46OM9yK1v+3CvVZkYwV7y2M27bWNtCRH1UzLEOueybjTAscaljrhDnYv8MK9n+7yWroKL5WKsq/jrjqbq3Rz3hc0YRn1TAa+XF+iND9S2NmJjSCVUzx14hr0K/s8XPy8Q6Yki/qOy/bSKmlaoFA3BSLuKrD2Sik6pbP4yw4ZWtVVSuL6ippy0JnR3da3xQMrIKYzo99sjrM7nTGciZw9vKqYM6MZUmWkVqV6Wx9/jWOrKEz3ULf5UG31gAgnt92WMudGm5i9CuzkVs/1GeFBsrjefBlzbktmwmNsQ0zc03LZs/pco7jNuzsq4dPCsP+yqis66YKz67p7U5tiVCT1WxUg9y0fcW+TjN25W3umUE3xyOWR0lEUGic6+cznU49zP6KG85f/Z4uTT2lqRGdOBtu1LVh1PGPV0SfYE405ERMDEQZG30NWPdg6weNuyFsW3XriBpXyPLtERiU+zx7fA35JDZX4bI8dPEXviUqc1h35ueW69ZGBa3dtyQk3fJqNX5lv6x/zrLRjW3W5TK8u8y16iuZNpK0jtqCdPlc1FZW7EN3ueKKggX9TRvV2jNklo16UBQZ9Db5fg7MMxUQX+E98UFxEO5Dj06JON26q8Ww/m81qOPX87iv9Vpn0u4fR756/WV0Ta3UUa3WXKqjo+R5x0kHxwjhy2qAoZ02nJ2tzqTpmNmQt7hC5j+s1HDPb3BPW3j6TdP7fUwPW3JUfM1EaGGm5vkCN1oyRfxtnJ7Qv55TYy/dc0U7XEpZUcul7KZFha9hT06sBE0sybqSKdndgBTFasLaSvdp9fI62MgHP+dJrqROmVx/BRCft8T0ydO4yf29RRhpEVdcBESxJ7hHJWD3ZiHlLN31pCHXCizIc7DtxA1iZh5TEE0qO6/ZdpdbMn18uo77sW59JjMGm9eXIRoC3AwjaVi6jw/pq93xd8CUnOiQlrOb40/LGAzJaSzoinMyRKRBKWvb5gJcLFlCpto1qSjR8lI37zk/zj6kuTdkWv6lHnJJyVK8aHJtSX9wATrFPCJcsIxGvOrALZIePayTiFbpzgorsxBip1XYwUruCotSaZTJHn1dSG0VuG4SUn3daMVKLndszEDFT35CLB8fLN3V01LJOlhZGVl/cHYKRiYiWv4AWdYdPfuQrua3q7GpSh6Zo7X6GSLco8dQeI7LgWE8dnzwcEbc+7OsnCc6pYl2oiqotxBxU7f1h4au3fJCSIxNmeGIimzzMOUO4z4KDpKVdmoDP2Ov1YTbmWNOx1y8DImD3UnyaTjFZMhatbufoWDkllzyL8YI4GMXAp3VLU1EcTAx30Nhj2jYUB9N1eW+BnepmYkE1rKXGPUUe76B5ZNLNmLRy86yBLA242lM1Xv5+dPWhH5Au0zFTfhmMC0E9TPyqAWSIZff/0Vln5psyu9n1n7CtNecH+y/sqZXBtvRa2eAWC80efOzDxr+1p2V2NTRHzisQJV2SG3oLNuqwx4sSIOroty8DT03d5eOitM9g7o2yRJ5a4F8tsRN6zw1z6XFpKazOj5+dbZQxcUcPpeH5G7ewUUdLChP9xO6sGQNeGj8CYg6uuu/7QMq+yg/ijWlyRxRzAN5ldBvKZTO+Of1U79XHrBqJG+J6PygY6mvZzkd4yXhasSv/NO9oMCtYuxepWU+rsjG6ekLzDPW7BYVK8KguKyXHLur595mzGkKdPUZvrMoNlCrjPMjHZm+0q+Hb11KpVXnvDsbbwdz9d9+JsiSb/4uHFlt8G/26T9dk8tBii3uZc9JAV//jKA34VFejNOz6HfijVwe3kjOolZU3oZU0Xb3ppFbsym7UCoyorjyG+vrBpAFkQriEUAlhUk5MyV7DMifsuC6dLohhcUirQyilBlxCaGRJIlwq0ClMiMSu9Fhd3SRDqz0FgEOZBOLS/PPIo0Qa9SxGPiVTaYdN60GnY/+7xk0fMpamxjCwB3SPrO38Gcmb2qeloFH1Xx64sx2i49j+vxhtVjUpLde5fh34ebkM4geq7yRIQtaD7SILdWEy1JdS4t1HvCl+3n5mzKpSdNKpfqh2K0za3Y/O/e3V1U4MrES/DIjtr2O5lkoPlie7IzXY2/u7tbxq76zZnze1V43aKwdPOfo+OilEbW5EJySSzbugEy6Z90D1qgbwYtEuaCP8JYVUOIn2lTRoF7SjL7p6Z6ELeNbR1W5toaATJ3IcV1GtU/6IlOkhujefu6Nknb8j22vwYS0v8FdkeaHKogbQh+sXhxXRRVLn/spq1/giDX6ULxUk68k8rKia4vFWqSDud1aBvbNxf+xK5uzf+MHnR9IaVgyJ+WMnPHhkGNArpE8q/uotn6aUZOjJcxjzu4LduZheZcAKtjC6pdPuIzja39AMaEmKTtrhe2JEJ8vwgr1pkXp1AYZmPYSiSM+KMhIASdGMh5D0OIOkdPT8u4xP2YNfQvjIxB4645aidHSfN+89t+wGsJFow701L8LjZGhuLa0G++kz6orSkQ0JURmnTihzYlepFFk03d9QwkqZvUNowPsqbKQ0ZBNYXKMxcf0a7+14IPg6+0h3FJ3vkoXJbus8dUVPvbupVHI8p53qVBvyZVQ6WUCN5BfskQXJqG2dy9Eqhxd2Wkr91fDhHinV2PBhpYzaS37Yge7pwTqk1KetnCcyWkmOR/6tXzvoyz+LYoT8WPF4mb6ylIN8WuTPPpG5fulBlnE8da+lQq2dndtzoAfkuYq7/VJgNL/9e2w6MN+OpSsb55/8G7p/Z9LXRHQLtK4vhz3dAfqL9BUwsXWu0hRbflUV/5/rzlVD3SxdnLnu3NOs7eyMQ5qes4XqqXOiwspqwEfZ2DfqmSxTaY9ObbUjyUzBy9H+cIZKKk6Pk8WCXve3o9O8Cs/hGHNuTtmA8QnqUSDpe+O2OlA2cAKOIx04AXe4lDn/9lxRYEW6MAjiydyRbjtf3A4Y0sdiyImeoRhSnGfGkHyZ5bpNgCIgLerJ12LN50V6/j0fqj8XM50l6kIniVx92ZNE9PbOjv2p1BPJa+Bffdl3DjSr8d76F2s8dxofl6hDk4NSRsoAa1/WB8Y9BcuuQqty1PNlz8FG1QO/IQK9aHVeN9hK6/chKw1TFlUjebiq/CKMaH7K4shUUtOZxyesH1feGPcUvKnuvN7/MNsM8iHwBhSbV7wYMldEbKtmVgw3nFzPiWbyu55Iix4B5++zGg6ol3BTxj4Tlkp6l8xjxAuYuUZM8+7mtIdqqPBdOFhXAnPaShOqwQMVBYyPgnZS3nYzSEiwkK87HUN0Hl6d2C6ZUGKPebcjS0E2U/TUU/dzmXf33fMI+yg+WTRNqR2NsO86Ov9xFpAv8iymOEsK6a7r9wH17DtBl6IvpkSwEauKoF6z5BulOTEoci3ai+JUiFhDnTDXjFHGF5EoTt20V5jB50DculSF20aiqHVaBopZuZMDx4rR71bwZzLvDIQpFiXTdI5XmRhJwEapMCYd+q0Xvanb6HshZ5B1pX7zIhL8RlO8vPprJl5eX4p7qPIwLwbjruN6IhdLr7kXKTRFzJ4oYs5Ii4DejWKdh+oINhAze/Gx2H+PmakXeSlxst1UgWzfvGcyfAqiiSLIMUOljHIZKYP2C25yC5BkWRvwIDsgGrRA8l1MWVsuRhJOTTBJMzCtgLVmiLDvDdUKVic2vA/68Pu2zRyZyN0Lvwm2ubKtEp2r1FSN00iKAAetE1hdD/raL8X4GLh1AekgF7QOn0JxSNf/ro3UaNJlqMfbBHqM7jJ8lhj0NWp1UxuyoUqItb13oZzos0apLVr7JcnXuUUkliHTNDAR3med/sfhuVIqkFCahmmlUhS5i59wEE7Hcz1hfu0u9QS82YxOHq2sPiDTxozDPNf/lip+/kyG4nzEVb+UuF50KtT4mB0Ra7tgB5mcdnR+aOcfg3O8u0NTJp+yNRKB9dJkSmjvgnkQZQibWo4Q1ATCn1qThzMrVdXFYPX9z0qleh7MK526PpYj7G1c/zdyc59FWVpycpE/+lhPXPKhnx95gc6jUdsN4lKpUu5B9oIHWodNU1Nf1IttU+kted3zi1H5Q3+JUzwZzlUcviej95G1HTKqDZ18Km5ukvGtqIgeTJyM5MhwcWOnRYbsbAshoWLUwwG5N+zeJiRbuYJDB4Dn5VJ0JxfC4nqZKnJsABGoV1b5HJDqVe0cvSqXg6Jfj8p6DkRwP5Oc4/HUFwXY6fiSGOoan+8cYa9i9jsWuKiZnYbYlkuuqhx0G13sygqVlCPLZc7HGaXsmaUi5swS+pWreSUlDx84tRSmopaocQ9+rC97aikOnQV7aO6DH5CrYvs4YXBVbSzGJRrDf8G7CZxoXz3Sf2pLHoFmfXTy71igXlXFoTZV8bUZ9hjVV88pjSQUjOf/RRVWqKLaqzh6iCYpYx7593jt7EXUwlQJ2k0efjUqnpU0eyZ0sOYLGnIafzEkkluK/zNlNnac6JzG9w0evF4fiAx71V2fFnPa0Rm3uXoF0uaXVVZxT+nO0sMgWSWKh8FrgXlDG9jZ35uxJdWDVHNVUnR7XpMMnVwRq5HcqM+aregv1BXoRCDyPujHVT/tkdJNVT+F6YiF1OZmTPiJPfb/JoMBi0OnQqKrH/7EdSGZk6Y7jwnRSdPQ67h3BtA+MkdGNVRhCk9SCLNlT0epL0mPrgcJ9ucqoMZ+qFHchdBaG1qKF2ZMz/YlqXTmLF6nwks90jmGXtPRp/CC2aC2rD/u6dTTRvYXGPPFgKqjwor2atXKV/Rqf+uY9/2ulF0qfqGSulOP6Ylq5qSbldE7+WkRHni4kLmTtlasgV4fo8hq5znTnFddvK9emg6oiyS/b95xQN7ffoQo9nlVIW1LFlZKCQmd0nBOFVkvEyaCLdZJBCVS+hp5riRmUxt1ZUDnVY6sNlbscv6a1flNbTCfH4pj4hHnr29X7y8we3mpSrEMeXnfxHgsK3vl5bl+iX7lrlfXY0WAT9YPm+J3FJlbd7ErNGl7RQJqP8DgJ6V9yZPiRA91lc/e4gKpB7/Ph+L28VQItcM7MH1oB6dUuonRF6QjVRy6veE7ZjzKhu+QZ2qPEQqPxAYMYvdqCRevgHFVks+WnoG8jCkY/XXl0bV/fHQxrnr+RcgpI49GboN2YIYca7BYnbWaimjHPM7mYejbs3GxA3ckTd+IvnkV8silPehp8OPQuuU1D3qMXfVtTa1PmhMiegfuSNowt9M10WJNJmmJsbcktWyY0KGrQl8pK6vLotBX8bxb5T/aMqcC0S7VP5Mb3raNaNlQ/HuWhdYS85H779ianyJuxP3lC/CFxILc5NCUEqleI8OVUn28zJdKkTk4R7igM/0bdjZS7xNjKB4xzoPcgmuXSbDvf9xDagU44ZHohevuQa+JUTXezYoLAoxboMH08T9i1JbtJLX429GZxCiMei8Wk+en06Ok6Q2UJc/GgWzrz1E7LLH3Edr7Y+t1o6g95BMdXf1Hn+ikDI9vmBaPdqT3XxVdVNteEdB7578Mk2q3kP3arzoxuq+urUS6QlW0VwyUPbx3ykB9kYW5JFMrYy0UhuGYcAy0uI9a02OxYyb3bAqmeNuin+uR0E8tTrJUBuCBrx0d9Zn2GwlGPSslPNT3ca6YxDL32mNau0BMOflJBrVzPBeliVWik6W4ozSrnnqo5Al1AVgmaQe0ZursMZRP/6x+cVw9uCYdMb4XRWWiM5EY9cV3mGuy7xhEEb29p0P/1Zs4Xbn9OWeLXpXpG6lKAQlOKHqQPLG4UPXUUKieaBCdfA1qfm6qufp33zG/GBxeew3Tjn4fWw8jndsB/B+Tn4L4SfvENmuBc090Vy61bDhUwpwyT2yofQvN6zao9Mo+XSVIRcW/nhV2vcKsBcyXg8Kul6F1McPs/53v0U1tMYAF2lehM3F5RVpVh6igNhtD36Fj9aLpEvs1OksMfY0ufh7158DX6Cwx5mt019BpqVqCusPjs8/hBPWAx0ffphn6LTPLz+q/Ctyeu52/o/5zPID5stmG4tNDVqY2FN9nvkvH0nP2o2JnqTLgKLYjtPDa8VLQl/pZ+myM+cLrhgknmFtJzV+h2zCB2QW4VPwq/3vmK3Wdr/J/R/nfG1grk57IoiAOvfO/+3U/ehR56yI2wFH1McRRcRfb55RjBbXiHvkCuf/oq0aZc5tLfBYlr3iAuPoQuDqJiqnFjLK0YVlUe6fzZhMvW7XD5DzqFzNvv21B7/RlXvlsGOPDbxjd2d/ww8TAByz/bqBfKPiegvEeNP9+sWQLs0+yob8M5bGUNRzyLYb6B5j62oYXr+pfR2U+KP77vW9B3ejmt6G3vj1pQ1+vHYxqD48NuVN7w8OjCMlSJN49nC7KqhuzWKdTMt/FKQT6yrReozFxl/0dwHheeIbjqv+IdxqDpQ3w7kU/uidMK8B88CDXZHGz/H38fU6tMig4KSRhhUYp9UjM89XzjuFUQt7EEo1fRIgqF+HLPkpCjA9Gv3UfrxccwbVV87HvK1BLe0i/bYZRPEyfLMODW7XxvOx7mhUpfklBbZEJineGY4o5KdiDLGrLVyR1+92xDqrXAAVP4qvNKJg0fJSDurf/iTrzU0BB3ftYGIOCxlcoKDqjw0+n+A6nxw1/uTzBeWtwUtxWbbugX9jbjdHds9rL90apgpR+1WD/iZw1ckDBTDwyiVp5UoBOBAq/gRa/oda8tOh9lzsrGVBwBKDgrn7ql0JrMwoKDyEUrASfrhlXDEFBYwbVP56rMKFgJYuCt84OM6NgGIOCCgYFDS8Ho6Axg64bjIL/wlyTfMcjiujtLzscV2l+NK3Kv8d6H1KcnmDZapSOWaUrZfBqh172EsvVpYeh1UjFBRLbXyK6GGPbK9O/fInlSOnfZS1hgKEvfcSAoWj0Jx5x1qyorblUqFoLOHr3rMjdERfNXGfqm1YP7/Id72vI3D8W0+6dj4UxHNt5mLOGwogxrslILvTCkw1akIBRt/ostPcYafT3gXRqwwNKWWWDPPydxxxXDUVReP//B4qWIcuSRDEo2pxtwaBoOULRxLX/dygaf2oARXmnzCj632/SwwPWMii66MFQFF2pYVCUpWf1R8V+CEUtAEV/On4T+LHn+qlsCxYlT9wbiqLFShOKmvN/H4qixQoWRR1X0XHk7f8P6Pk14uIIzONr4OL6m5jb8TLg4oih6DmW/OmixQAn85YiThZV68oQekqWFjQX1coXyhe8djVX6le9QpNFaSrqmdsIqYfDeMRUKuYRlitNs8qiHndy1uh+Ai5+ty6Lum/FY5+bM+kfrEoBPwnb+X7VaHQV5Wa+PUA3sW6oaGf2RdYcBvy0vmHGT1XExMAVkNvC3BfE0tawwLd4cEtupUNbcnvKtvSR4aONqrac1tzm8sabtberQ3uWd61oC2uNbI5qXF+Lbs3cWn7lM736Dey0Jj9xWpJHssxX7o8HzYjXDnfn6/kLcGcV9TwJ8400ovW7DScaXTVUEMGZXUdVHrTwmBWLvUNk+6D7FnM38DfXhweuzf23r9xHMDpifZEZj5K53flQA28q4HXFGTrau/vzYtd4Y3zawrfedwbUJCB9UR21kMAEyfnpO9qCDnjEzwea6CjvTjRnpBocfacGUPE6nMrKw+H95CPD1ADlJODPCXqNd/tZw46lymLcf69BM/gXFz+J5tjOEL0tnyGamTZDNGf6dJH7RA/R277TRTM/gOfV00VzNrpBvhvku4ncD7uJ5px6C33FfvD8UnHVcQ2aUXRbmHtxQ8VKcY13L9BrRPijyC31ICQpEv3sKsy1K7iRSm/Dom1sljxlvl+PvluvJXmcovTVPPlC7myeqZWAkIno+3obrB+g+YhNI0KClPpmHYzuxJ8oVf/IC6ft03uCG5MFDH8q43psH+1axn71YX+q1mCPxQ4v6pkNM1bqN/kp6KSPjSf6YoyQwGyg/I/5bShtw0zmW+MbFt1idZp0zaIIiXeza1JamaKMtEHtiJvRvOd2AN0wKK4rasX94clGvmB5u2sK+Oxvyf2Luji1eBCnh9O6Iqm+OicVZj+NxFefOB//Oj5qS5CqEunfMWoJge7Im5qTinp2d/Uy5OeDteZr7UlOoc7DIgDXe3VxhGQrRwit4gvl78kDhL8uw5i9F5vdrmGJcdsDk/26DzS/e1QVSSXxXUtkdCxplxj5QG0fw8RlPugLXwnDYDwnEoYx8vkhP4n6hODVSwlLoUDApTa9GKV4Yz7YiwAriVQ5oL61fzhw5Nr7HapIdD/L4q9K0B6ATWIk22b9O+Y2rfPZNlOv5ifR7xEvki1F5wQP4L1obB3XIPiLWlKNzi9+iSxzUS6q0ZJD8awgbXeAs1ThpcEV3gKO4h0NjFZcW5lJhX8M43Kap5JR/kgvnL7O5ENsExSLThbu3E3bSHc3oFvLfDYNjW+idDYwszfp6JbyHrS/IDojwz3jTfIbkUWl/YG+WCqxQfsvbGqelaKQxJylSIKiM1G2onNNNg58HkbdUWPoBIEou3ykbbnWHv02tQxvUgqViSNhvElKiVAdZOPm1Mkx848Oe9Ec2Rr0pViRk8qObUOwdrQQO7B3D0G1ETAeGxsDyBVmsnzhAZIjPuDh/R5XuHw5prUfh93W7SE9LLt8rusVU5Ix7iwrjLqGTq9i7zlA/Cua1AyjRyeyfYKsaKtIqwZ08iz2LQdVZ79YnbnMzkeYIcFcM6zCRpKuOjr6XI/IncRHNeRIbwM/c2Toi3PUlo8H+MlzQPycz/CTYP0kGuP9GzdHsdysvtfHcnMKPsPEzSnd4JOnkXNKpNQucmGczCUqcC1VQQaHyYxSbVJSz/lD4h70dV65ljrIC36lY+j0qc1iV6RnflKFVICpHLybkZbhC4W6YRxcG2efm3g3leslwLmeAkzhqcFE5x61cr00HNHJG62iM3dbuZ6gLZ4CjujMo2euUtFFSD159xn9e+165SRqwWJuNHZyA7dIhXH1fFxxToVzz/E5CTG7t4lmluGit6WYaI49DtzhWnTavLSi6TjLMAfwWENVmcvtfbQZ3pheFeq7i/8kQ2jviSWH2aaOINfr6EbDC26BoFVRoGl1pBUGwVObhlF/Qfz9VFEgeObYojBontk8H9Xp+NIopZJJH2qMlZjy343GSmozZ2L6pEwfP+muYYgziCtPMoEvtqT4dm15IxfiVmpcp7fCMIzLNSRxFMXDYMzdzxR5P2Pcs0mY4uwwXNyqyBuOcwuScEXBMI64GWJdLhp/70xxm+hk91PRmWOtonPnW83cUEq4eSkY99j7MPoUnFs4nKMoTOFQ13TozPnwIqVcIlYeyebqVVwtjDItdRdJbROSelUvpjjHB32chWlSM0fbYbtIiLZ1VGcXqTjNx7jFKkxRxMeBuzhwlwPc5SRsA83ARGcacNG5Klx0EXh8UgqysecmvKTu7104Q6nNmIWl7NrFd+CPxp5kONjZMX3QfhldqJ9pqsE90Y+7uhWIz2c1rcDvp+k0cPxpcsPuv9JbFGcFz4DjzyD/efLz3Z3pL0tk1DekT71MdFLwCHCJn2WJS/CF1DBLjvMjl6fe8X6Pi+L1/ERfF1U5milXFd+hFhGva0l3Pm1L+NFV6qCg8Kg1iZupeVau9ALBT6Uy+h/d/rkyoeNHmDiLO+UndD+7D1dshev5ljgdPqKM2vIAE739J+a5i/t6Mkb9AxuGLFU7+j0sf6/jauqzPosdb4smWeFKiUKsBH4R/Vy9sp+uIufJA8Wqt44q3iZx7R6IBZ53QSywFFPMJTGHDPDo9wVihEv+Pqq1hUBpRRALdEEsIDrThVEf8D2E9oFYptoOc2WjAShB/0i+PK0eXJeubYFooBGsdA1Gff7A7cpox9X01r4Ormcy3ivz+LoPoz8qLYa5kn/TJyVg0yPgx3c50qD1LEKI5vyEI5Sgoz++RH3xBh6URH8SexmdnEGrPFH7qLUvLXbMBL2aNbDOQ/+u9sYDi5RD1nnIgXWekXzlZD3/Z+w/rPPcVm4wRzhR/2Gdx1xz6DoPijIQRb5j6K9edpjw+yTg0C6y4O+4PuUEtxDdGoz5IDQXzYyydZaK3m6yeYXrTuUjB6E6Aai+qvh7QHWSRfUSKZ1Bnmax7EKyDqc1PAtkqSym0Zad1xDi4QuVEnHzjnNhzZ+fU76J8jg9qAaUUPNOcqVybpz97dq7qeWNU8+b6D2SRQG6cRQGtQ0t7ExY0aN4U4DRNlY9V4paVh3KYiOiqQF0YoMTnVDlxGooPcHqDqqvMOR9g/p9+uP/7lrIBzTy5NGd24ojxH4mJvpLa4m/hgfKA5EPLSSn7EtbkPKzS+vp+GBVucZbg37x5NzsGb+/IpfZZ6f80YznNBatjJzBUG4ar/d5WHjc5mDNaY39RfDD31z3ALWZtoAKseKwKcn3TSmhVhxi4dJLLat2JqPfYcj60bkUiAdX7TQg3/xGccuqh+gEwDfoTnU25yFzAoBYeOmSyB3QZ6YUo2UPfgHrxK+MjtmVcr5EKrTCX6PiycA4WWJkmFJlr9SyfkvkCeS3gLy/CUNfwls195xrMvUxEcjOYnQF+ea/z2L0AZ6xRIovFKPvwT0uUB8rUswS4PUyxRs3MNHJ841oVqJUZHCWpbiV0yYPeq00p3ZF/OkkToxe9bFvDos/yZQ/MY7Bn3HEGGcZ9WeDnUs4VWY5jppgFYRagnkOp34YNqI0BjiI01V/jM+N0R74GCs4oMgtx+gU/jiu3hIX62jquR21hYZ5ognzVnCPJmLUEsCis5YDWLTuOcKiby0Bi7gmLFIUARbdJ18rSjCtzSIketbxCoky95nWFl7Pz6D6W7goDdlsh8lmLaYLde8xNjsIh34mX5aqB9ek6xAO1YPNVuJUzNW3ROfKccfVmxRXRtNfPu/gFiQiNPriOUYFRIai8eZI/+b77fx4mQqQuM0p0+yjYLsnsj4fzePx/4vHV13eN8jjMyBba1gP2LCfHKmSwjxxywjSoxLJW0dOZpL22NQAcVvLqtSHdOu2R4NlFP2MXkzUt6xqoR190wLfkoAlplT10EkNPS7hdKZlre4MtBzvH5m1yvUrKom0+9+1w8l/MRG1gVmPXMXaYeww+QJ5kO489Ku5sdI2aPRV8D+w/RUPmJOPlL8A+OO+SelKdaAVCrC7Yb3P7aE0d+ravNhhafPZErs3mdJyB9IWf5G16uf/ZSR5ix4YgXQJO4L4YXiQeQTH/sGurggwecVtXew8ahlv2gDttpbtnYjDim+/zYwdZjufquS5s++1B5j3X3jTSmUum7Xpy9AXPZe3Yharxl5pWTVBJeTxOPSB+D6XLWDPyvUIH+KjEH7E31NCFLeq5fmrL7B7cGfiHoqZ8hnc2fgMxWz5dK43Pl3hLXfnvoO7K96Ru3HnML/8mcZ9F5+meFf+FkTEM+Nir4z+/FSh6jV9iTIErQY+aqle2du7LGgNJWzv2XsGIYx9JLO/FsWiS8XvLLosegbo8gmBDZpLsngHbpyGtk4nW4YpmUhpVctfAiZSon2qeQjdWn6FKGlV6q1XHnwiePBffbwALOPDNstX3jvmbmVa5bTiff0/ee8S5L0zliF5N4uiFOS1QbMmk172zv88a9Kj+ck15yCSq175uHcZLWw/w9oEbxayCVpO1v8vr9OPJ+8M6NQUt1dWESRfwOrU2mm2QQRjFZqKStYqFgt4yjeojr9Yi7B83Gl/DGn//BhG+0MEPPZds4V5XybgZa26fx74/a35O0HMr5xWpVYwa3OsPU7ZYQB8yGG+EdhrLhH9M/M7QZifKrLR6pzXj+acih9RTtaqrdCu9aGBk13OkGddPtAu6YzrQd4w89PaKb+a1u5WtTBf/rO9APqTyazqVZhzFpWinMen0Fz1Kvbc8iISxVQooiIkKgd8IYqpvJtzE6Nbo/+1Any+q+DzjWsFelM4X+RIEe4ixBVdjMIQ+rLIS0d8fIz64it8RRK9OPY75GlpR/tjTXupKJPv9zb4fudYn5a6p/bBA8XKGbtGo/VtiD6pp2h9+2dmrZrxS+2CMQfCDmvKoPrGc20o8a7dRmYeWam0FNoj32+8yfdjVrdvql/kq4fWo+sHe3/DcD/G+4N5ZBt4f6y+2gDCy8mcv+uxxPp/jur/FtOvqkgZiOm7T7tm4f5U2MJL0a0tlzzRt12zC+H/itRC1SWDkMR4IpdmTEhgPoADi+e+CFrDpLl/h25xu+SyJZMUWGj3LsP8HovBz3Y75Zo8tgbaUJdLA2XygKK2d1QNPsLRyzA7ftheyC/IlUWtMbYVdUGZcyL3OvBmIjAq8kEExbG4dmV0dGvq1akBxKSWxYfaqDUL9dGtJ86IWzPtgVd7vbCDKbuI9UpxXcuqE/lxMnoYMTM/BSLhwMVaoc4b8yCX+aIIFuhKF7m/Bi1/bvKkKQdeOcstaU8WtZ9GtxP+Gx68QHiAcCBHKnKyHCl6+4UNcOFnJDXtXgkWpSwCnXL7J/Q6xjWFQaUlseg0z0u0Z9qkg6ce6osFeEgS5Y/Sd/aw0QSSI7Xq5bW/RxTUfbVnkfJvO8f/dxHFQyXn/y2i8B2TUlyoajfkH+C0UX9t6weJ1yNZL3qp+FcihnwqquqPDzNVDpjo23sY9d4G/PN/JhutIpPrqeRhMx1UL/sfqDI/RiswC5gVmD188IGqDX1Zxn31yM7Qt6DQN2BFufcYjfFuE7e2LO6vdJbFyZj0k/notKkRtEY1DLQmFPNuK6r1BL6eSHGW5SdSGPGkVBYXIw8Qgka9o+rwseOHgtZU7ImLyZU6ywq6Ktug/n1Wb37DqS2sz0XZWTQib2uTwuRvLY9svF80NEqh1Lzbg6MUdKrl7zqgvvc/2xI9jl9+49SAfiFbpcfxrpn0qxJmm11k/d9bbriDWgbNYlp9YSPKthx59vwMNbt2BbTcGaJni4t7aCtinGsK4xe+H/vApGOtJ6qfqFlNQ9jFalr/5f8Bv6rUM/4f8Wup0uJ/Db+uMZZX3Z/3d95MufpfuH5VvRhxHOoUFKreNxSqB+b26NaVcfLA5Y8jnwoFuBXnUWGyZ5Jetc43SGVEvu3i4mvoq2wo/qBeI1yCpNTvDT5RnyVuBw3tHooN4GcX+Y45dt4BMAYhnXa0BPN8yqDZ4pW15VKISWNoSwJj1iYB9Zj1ySWtwPcJhj2kB9mOmWU44dxQGe6spjjE1yaseC+2jZXh4DFYd5xWIdv55dSV0ZSjxelBEcNHkRdHFwLe5pt9cyqpaialaZh5T5W4PeozKp3fHKZE8yLYVzH4T4sPXUTcVBgk/6Lk5IH/Xb+EGkOmo1+h686iqPnIEfRr9MI6raXciomaDShqLvs2bcHBG87NMwZFzS6tBfGaihw2av7Ayg+wuoONmG15jztfRczfofh44V+oPYiP/2E1g01Z12RKmW+VjB8Ffu4HzyJeBijjlmyKjBfPvYbuoScWggV1AJJVH0pFUTE12mJXzK7o6rkPs/AQQBhOqzzIO9ElUs9f7vuA1Y8cKtikHyMJZ44M9MPZeVt09cP4v1n2a7zbJv3dx+pvy8t/01/dv9s2tJTsmsl5REdmVrESo2/w0W2vvwzVkblFFI/4xGTnzHzyUG6eTx7GZWbYYQhLtXsDMRZL516Ik0E0zSGWMygNeIqQmp63IU8LmJyfgbTp4EUYn+qV3qRWjaJSGkY5b6Pi0YnYEx0rlK5fgb5kIa2Zu5/1aGvVWasoDXnuf1lv7Mijg/zZOMafrcvG8SB8vsmflae98mdvs3umvw4bx+6ZslHSK3/2RjYO/utSwTiTP/sD8/6JYFzWKpjPc0LaZqAb/xZbdyL/U4abNWRCDvPbOJXuCNLduq1IyodqTXEx2Lj1Ezo889KpSy2Lo5+zPGPura22/o1SN/BdvwIfIA/my1a6Jui+8za6xLI5ujraaKoPErFuomuD/rhvgDhs8crvmC/SH/33vY+E4fl7v277+w5IiArqt+XshBZ/jpIpAxKG7QgVvV7jKHI95Qj6fhik9ZN53omuTq1vWez2CP02RFbxSv/T0eiunG9ZnNowxJ9ffGgP43fnMf58FIwiuWXxojpkQV5ont5lLjdhN7Ig8ARQPm3OX5TyKn8Xykc8doMSbjXsjdkodwXqP3mglynhh8/CeB4ChYe86l7VT0QlTkFO9H1z69Fqc+7cBHPri1RmCbbcGyrBfuVgCV7/1HlbRJEcLL7lJFqRxOHpRIkuD2Gf+mNkoRW1/7tajO4UTH2IToSy48xbKuR3iLKGnf5L/Ag0eSHSR6HgxpK0oOFlCNuC23I1OfGmmP9DHp94k4ppZlEPYn6X+JvxOVtZhLPKEqI1wSAq1IrPpryZaUpZYgU66PY7wr2WG4hv6O5rtyrT99oXn2hjpFZtXen61bsg/RNlrFzKIyYGOqP8ZwNyyQu6VAz6cR3FVsu6zS2ktjJ3ThjEihJp0JeRrTmpYtDsiqssJxsCESetjWZOCoGTDnYsJ5XAyevYhYxSEycf/wdO/j6Ik2VDOFnxJzOT5KJ9cb4vmkmyLEUnHzWKH8kD8EBEsZAkfdKCDt7MVQe3FWqOxxcpERI4K6NaZ8QHpbiqNGgdFkW+SwWWaA32Dhv5wowSpcnZytkxI/54vC4f2s+3VFH3LS3Z50QldQfhX8UdtG4pAL5Gn2FOHqCbc6qjf43bMjEwVIn0l56HOLvotlihlAxwxu2061csb6bMQr9HaFn1UAWtnWtZtRL+pl6CdyWUOgrv8PdhKVqVYXzi6oeXb9fea5yROC2JwafvBySFLMD6d1a776HZ/DOWLyq3yQZE5WxUPp85C/dNwzMzhS130HmPtwwpr84xvLWR/8S5Kch47+mDxy71N3tvd1e2Gx/V1zXVrO8d8g3UxW7n85Ms2G+qLY4+56qxWMc+nzAw31erhZj7d3TPYq+98ONZmDjTgL6j+NVL5juK8jfwqdRzKS5OYm9ifImJk3IiCQl/mOcP3uUwV+O4v22Q1ZgVSt/toF8/U/7EKNV2rQAfph8ejlOPL1r7RupVKfhNBjlSr7uqqOXZfJO+TbCVBisLme9mtiyuSJ768xWZknyi8yBm+XoMb8f0ZIqP6JymQ3Sxu4Nn4+v//fsTs9E5kFk/obMhiI+pV+kPiT7gl469SyZUSSsk/dRuAyn6dmqnKHd+J+DbTzeK2VbWdqJW3jK1MvwHcytuxWwrJ/YMaeVgHj7QSkvZjeL18bMMUfGTTd8UfbYqJPx0+Mi1T7YGbzu+bcRXTz4LXnd83YjPm3aMXh0Xa2GBvmUP/L5Gh2Q/mWTBfCNgcSpa/T/g9Rh92yIX0c/cAUPjRPMKpdUYeD+P1/FlVHgthgdsLMZTg5RWNr6B3m3OMOc81OMBqw1KCXUrL0iI49+I3pavEs1MWyWaM32l6G3flaI5tqtE7hNXQ9qnIvfDnw76oudi6/0pEgfwZ+XzqRFtTiDv86y8tUtmYUXpSN69ycytmzW68Yyc6TZH+6XMd+MnAH8y8RtsO6nprvGUfzYm5GEWCRbwfghqWYhrR9c0LQN6PhUnU8nkuFIZx1H4iRXHw6qHo1+WzOHOwT8V1zIyL8uD2OxUBSt/KefYj6KZH6wUua9eib4vezjAYclnmNZyFIY0viLbVUOTxJwRPNd0x1XoO89S/G6qNiMKc1U5Vpu+Gu2zs5GxpzMKb/kK7jv4Cqtxwej9CHh4IxVT8FHsqRj5QghMcCqhYSTqb+D20Fz0BVCfuU97l0EcatEeiCgRzdn4KYvuj9oZ/P5MOwzn7S+7x9yHcLgFpd3TcQ1kiG2Z+WvNx9CvUEDeK5Q3LxeVMP1/kj1OsWw1ry6JSiIdXVTMr5B9DnUB/z4l/Fp8+v9icCilYRz4HokN40KVuSi/2jwOxTvyT3XpzNm72dRt3uss98qeUPvIUcw9Tqu5M/HVipnyVdzZ+CrFbPlKrje+UjFH/gn3XfwT0I+wuFhWgkpuUTz010dPIIyHzxbFI/nSz9qMPxsYXjCc6T1LLDx21vTdRZ+5HZkCAnt0wU5Gf1TdbJTRfzZ0GMpu4Fp1p5dZXohLSOKiOac+FjdyWk3zoTEtynYB4tD+Mr1qGY5ucKO0/E2VDL8+oKnwg6ONsoyYohoPdYePdzz1vBZziaeseCPwhcBlq+/fR3UrdYofWL7KJR5kvK88EH1rN1hJ7bUY1+Kz8iEVQFgE/OyaRUcl9xhlukzgzL/emGLUiXuMWdQvw6yA7oqGjsGcRBqoeFf+8Y6zZold+iNDJu55Wjzoi+w+xVc/PWt7A8Z/e+B0Gp3eUM9oAXNvEFuXPkDWorR2PehfhaOvsLOzj06UdtIJhs5TgRS3ykrYaei/EUhZVsG8topDqRrgbytBHWoYD9wcY9WWEYPGTy2qfh1faKLfAdFPXx3WBv7NS8wB0MKn+MbAXZ+Anj7FzN3PRhlhyIaZMQ5wu+JUftL8x7lSZynV1sBDNB2+uvpz4fDhUdrhsWLwTn12FqP12EUnMqte87mg7sUuJF3AV0szU2AmXdKLZQ4no5ja7Q1YCToR24u0IfLgqUum73/77LxAS5Pr114yf1cO0cacxvR5WAxYtndKlWnd1uch8+W/wxfQ3ARjaB1bnIWLleJm4Of9/KSAdnkAq4/Eny0+E1pcU6ilROB62XGZwkU+slDnqU4zEhL0Szx0I7yztKiWfgkyhBFdqhLCWIRWuEPa+5rs/1bDYdlrPjWR75CPsaJarYof5TAcRninHnNI4WPOUrq94RmMr0T2PAoonXs8LOJC0r9wsLdfzVQduQ38rXONp32IF2h0/afQfQSGWUJ+61wjWtP2eXiR+UJjG3qe8EOO7NIfiTpRAjlOtxSd0jtSEYbs95fJv8wihICkCgmBIQ06EkhlVXEI4nrx33WRte5JL6k/eTNY6244Se0lxUhviYDZ51lb3HlQa38Eo5Vk6+xiegRx0Wxztgvl73vwz/jqlYV4CPTcf5sKzebkH6TrU/p0OnTzP9kBaPwH6fkkC6zuHcRJc8+jiwQ/w3j+OQo8TNUb34Omd7hcOjBdQqnrXzeXURbRt6p+ipPRB8nyi5i4cc6YtM/EyWbb9lDLmBuH6fHkDw8Y2x7+F7XmoCBXFaZi7in36f8XIGogwZt8RXcQqPn+rcfUg+FYZZadDCzgZsOLlFNma6qp2n9+QOd3HkBfFpcy+w+M/l5HWlVjAHr3QY5c2gs2uavhxaXM6egXKuOZ9v5ouPx37k6/6BcBFrK4uN81fjZrIZ2shZy/WhPFoFmiZZQwpdPLbCkPk/0i3olPwSAG6zFbi8lS7rwYsJS2Boz+KKUH5j3cI6UHm20wa/nD4/mJn7/S8iPfgz5dBi1fQYj/j1re0/ACUXX9D0cHpOfi1rT3D/+PWp6Hs1ruraJ+rcc8Vc5Sh+F8jO4YwGn68rJOpOvR/aDrifmg6w+/NdNW90+QTwHo+vtEF+L5XAXo+m6DKG4L0nZGv3cN6PrK/TmyI39wtgzW9uvI/nOm3v83XYcoGuk6q7snniLd3fvHMQNjP+lpp1wb0Sxp4SB63ddB5Cp3APmeppYQY/ykY+bRXPVv30torPPOqUD6tapKMwItej5LPxVaq3g2Wm9Os34WceHfEelEB2hI5pQfzYhUzNz7v/QUBsjB5Lehr64ahGiUOUrEndR+12QUU6Hnh4m0wKpAT76JoXE6K9mRTt4D/EmnrYgz7FiPBDKjhfiBHevPprG2GBk7TSBPpxWw2gx+vE8q8wsA+lBDKaIJIcTOfYizZ08Nnnfc/px+yrtHXmhC9cU777im+D52keZEIs2gvqriUWrSGUl2tRTJVmhFRokbzXq7qAbFfnN/cQCdfUf9GHsn5Xu8JrJQTS1pxjLV/CikwdCWlNrSiTC+Kq8XtYpw3mwrkQchzn+GbnRGN3JyJaZZzoEser8Iccat+/BFJMETXUf0Zm1vAc4F9IJGBSCNuv418C8NtP0TYsz/UdufN3QxmP4QUS8cjjv8d13PrHzNZ7X0guo+IDpEh1GeKuofVZg36Hom0vW+hmevdP0H9XPEiRO3QNfVKbg4GehrN9NGbAF9TgBtX0h0IZksusPM7nsa7JAeNDHYDvEfaIFrI3pe1FQiPVulVZMfjhlTqBPFkpd1AUgTlBsZe3o+8e7/WesXlSBNSKmSG8x65/Yz6N0eAzmgdxD/IftqRc+LaEDZVPIia1+gd0xvR6JgPM00l7j4f9a76AuM3qWS51hZRT+YX/R32S76zUxJ6jXkUQymJLqCoaQRPZ+4B/ohJ2sHj/0VPashn6Y5hHEWoeVjnMkSlp4qoKdhMD2nGXp2kQ/wS4ib0b8RZ1HbLXfq9GaPLLq14vprG4N7VM05jbm15dUhXaFty1tXNIc1Rtbq9qMVwvm+KLr/BWJYahc5ZqLUNel4kodlDdr5tEGrAMx99mcEWIgy00qAKSbxRiq84224c3i2zOl6In4k2vncfxn6L9KS/javvg6k7GHWDSKKhVvHYrSDoA/iqT+lODqHyo5zsgXIq54aRthQ8ZY2lUpWhwI+Afz5zWh6i/gUjYdS8mzSpML9PI4H7ykm/EjAOSzVE/BkNx9DI68o0JX292tVLsxtUr6BwL/vHcPHrEpUiWu9q6FfRZtVprq2X6gjOdplZbiQ5HEKdfh78BeX++NHbaTU8+uYTZ0vSXE7OR7KDMwqwoai26/3WUiJ17Wj3sP0kLa7JgFK0LadfSxtk0OB/h8xi0R1Trptti9vtzSZMtkB5KTeyFHTGfGmsnVLgT+X8YBTEM3WrwoMzw3nrzVu9duWs43zlfEzv3U56yZDJIv4pShU2/52yTz+uiAY/7UaiIPvGuT+qw1pUg8YNzvaQC9fFg+/MdHzPtBT4lu8deM6zLnVpZnfBu9Fjqtd45X+35fZK5n2JkP5c0ifzv/IplyHlAoDROPL0Bdw5RJ78Gi4Xg2Or101RGbjenUVJy1SrEO/0BaqSfcx8/AptmXo5iHSHa3Qs20onWC8ehEGUa8/Iw9tzgbOZhelMTwARoXbAj2NfECyRWcdVxP+aRWM12TIsxv8yz9RSsPbuD/Y627jKmelXzgBNQePJPUUO5K0shkBOcqWy6nt+fEMnqQM7mtwjejjQ2sUV7I1WjT/rcaifw2p0Wody9aoUP23Gm5Hh9So7v+TrXFC8d9qWB8ZSlVFJlsjNXZwjdmoRldII78H6D0MNRIJf0pOjjwtISRUUsMYanmnTXBzpqahX6sTcLR3q/ArgqBWl7b8/UKBEuPOBD3y52EO6pm9mSSJ2f7FlYzCHMjObvQ2llZIJmFULGlnssO3mP6/p0hi1N9rlHUN1Pjtx7/n2nf/n3K9Bude/XuublDuL/9WN29w7tXMeMhV8zB5I5urZnLfqrhUMVFAj5v9NGczZ6txLe4P3rD7hGbjBtCfzX5RE4GP9oHMOaoJ7EgJJ9ZSGH1N/cVgsht4O6H6tNg0v04AeSsjTHkR8NYSv9aUR0wE+cVvNCCq7j434dUbUD7uiKlEnT2Ul+P+B4vZHuvsTO1MBX1MYKnJNfPdns078jrqn02LMKXVQVq0eT6wGyjnFm9qd7SpXUhriRva3mTUntzU3kRTe1OgvVjcn+VUzaWPQL/Qr9NUbS3u/S9faaQkTaL0p35sQKjqvrMK/bbMRVkfjn5Jhn7HZhHBzDzuD5sc1wjJW5xMHoEpSsFrT6u34JbZY2+1mPDgYYv7oWeK2UrMYp0WynHR/OXYyVdIRmNH/mLLBNxvcV/Zyp1N4BYb2FZ31qHfeFGlPD4bVUkrqVtt7LNBepdTGdwc1Op9Z39ZIi+XuXuO+lXAQ797k/trisVKto25V/I1A33SFp1dbHpxsavG3E//A9QP/YDXJfd/31Djz/46z0OQhtkGvbVAa4njE7M1ya77D15Dp/2DgRMPnzOrlu4ry4asWuqkePAPIeWQ33O3mP31nXIw+rqvrB+KJ4fUjK27P7wy2NY/3bgQy6kObVbVAv204+p8sPVHP5rGfa376v/ubsu7fyFvnkH5KWQx8updeoK6gttCWpc3imvRb1ftM0E+w368NAljzld6DWN+vRo7j/r01a9XIY359Wo8c76ScIKS6Lfs7Hstj3m/w+MbN/ttzdnK2eb3Ge4fCuNeeToXsJ0fboxajX6bCO9DzrK5r2RvAWBok5z9oBj4cZJZ+XhpijPc5/6BSqyGnEPHIWf3QM6huyhnq+FTpNnVqlqXHmjvJuK/puy0f4qE+kmHKdHs5N5/LHcVPxy4vxlRwY49tNms2xMugaawq3PuK/PTJFzveDxfcyyIUrZhjhsU5SSGUKY4Hb+O/s4tQP8/PJqvGvtzKMTjDoQA5lBcAvgCsw07emPUWoP56dJQ/bg2RD98dsaZ9OPQf5k9QL+H1ujfz9Yozhpc4zWkUY2q5lzQqAlFLA9GSvYCDxpMPCjej7wQF2VuOPI7yquDe0K6zBzo/y7/FQfmHnBc56phLXZyDhdGL58K9J1x/Dw/nkolR4SogpVzMFwiB8+LUwv4VEbZECPY8kfO5IRD/6fz1ab636HvIUH7J7XqURjXG2z9aTcvtI1KF4zUrEW3m5jKnQL6juer0eoGOs2B7MU1kbIiJpnazYP870TuAXjONnRHkQlP9t3WoW9AQfv5jh9kanhYfvz9Hx0j2NyIk1ldwO9jo1af++TiEtHJSUR6T9cP18u4x66Rim95FmwpIh3ozXPc4qoKvyl604W4DdYv5PO5cbr8eNZf++Us+/fzS8iPttigDOC+E89B+pDQnJ9IjSBGmXD3DuDZcfzGimbFGwQGHqjqJc/4mYn+FCifnR9/TxmqFGXzoPbDfx3toghiBPIGd5ydsxX1O9Cn/BL4qPPPF2sPjMX2CJ5eYutt5sJ4jia0UTzCxjQ/3BJ9u5mA8WfIg8ZeN8lvd6YlYeLQZBW8g76Y+KUS5S6B0hP2OfqK1dSvJEjRRJ/i3A9yf6A/Q6cGe67K+xLdx8MNDfzSXo18wylfaSvVWCZk3t8lcppFijgB5D851/ki4W/8sWVpUrFO4e+1RD9zN2a/hWnvaxhv2qTfWF+3W8+0apDs4TLaYF3japr7JpcEKdF7wjoof0R0kYcN+MjHTLUadsVTLe4V9811Ii4g26+4f7fYlJ/MtnriD3OJ6xdRqyf+QK2uzB7aqvGzn8+b3+pODbaz4sShduZ2ibUzt/r/ZpmH1ENrPGxka1jT/63GzvghNTZUZLE1Wh7+txor5UNqrGrZzdao+PO/1XDrG1qj2MjWOHH3v9Wwfjmkxm63ZLZGauVQ/3Qh+KcubeCfurd0sjUuVexB3sOfbXxW7pNXBbVCe894vr3LXDVUfJsNd3a8Kfary0NSWama/pjRqSl5y8BGehusWCmql+0vE+omYcyNYT4Vj5lIRHWHY9K/f6RJiUD0ZT30rTe3k2V8zlYm7nBf9JNxgx/QmLMZ+X5BZv/pMIy331Wzttekj0tDGoObW9yjG1EcZJ8IaZZN7ytmW2IpFb3LIFbEXDRUrICDvuznIejm2ErL9xfu16oF7uibuahcdwvbEvEBjK8WxT3MVwDj2zhp0h3LcvffNFHWwDeu9YtKMTCjKsubr3xImPzKugzo/8/h7F6fe8VvyJMSOe3H7DXo7M2NQPrHSY/ZPq4vQLZ44r7IicCunJUHbsDehNRYSzSCRSfk821rTs838Xs+Kmn9h8m+5qEapvZ8j5VRdgLsVLZyEpU0ibtvXhpJO3j1m/gBFJyo4l0xrqUvT2pYayjfH6zrXSYkIcJzAp8NxisolvtD7pVJdWcN8PfnSfRe+Ks0rEVa8MzlCb8D9KMKPJd4iFLiyFFBTSPnU59MEgbXhxgre+91P2g3PjXPLtZlGgna89qxnLLrHsn8Lt694kF+EktL3RxOI6eZ08pp43RxQLfcbqLIVAcyUhTme1AJDZhJX2ZSFQ0jTPS/DfT/6LiWiidtuHOU6JsesZZ2ttJQHVfitYSyJEdt/pQ7hbAQ/4T20akP3B3qHzc9irMXCnr65Vovng22Y1S5zmA3CvOy52E1qVoVP9tjczI6J5FdoHPW7SJHkE/qKnWhuixqDOW7QGiF89D3jgqr0xZ+/75wuBybnu0x7F8+rlmUxbBpy1VGxmdMvcV8Udvd+lvWZ4wCn1EHPqNhdvC1yFLIv3u3+AH6PYl7y83Ta0dGPdkW/NXxr0ZsD1lL+CNMSz10GuKYkZufhS8FXTbtF7q76dHe8qOz6KtQaOWO5YDy9aIDoE8XHNfSu8lW+1mM3mwC/Sgw6dcJ158oueW0NCn6PgDwZD85iS1V9wX0r2dLRX8vdCQ4nHLXH9COMvWx+0RUHvGKC3WMEtqebOZKcdz2qNDeihP2g/gnXEstdydYbsq1hdW+/kW1QgHOs13w1vtaKzk2NVsAfjSF8UY6mzxpt2J6GeKKef8/Ergi7acy8kTB15YDV9x+uFssHPUTZ/puJJ1y3Wl7s1xOaZFcBssESWQMlUV5d+1PFfdQi32GmfRhDLSf/6FvvpriSchk8NdEORLwIqILA66b+DUa+HtUIxE5t1sIeRgXaMbT5jO+P28iQ/PUHxDFyLezPsP6/qnqAd/fq5/WSutuX75ZAvmX7hab7M8G6P8nd0qAhVJCj+58YZLDCuD/wdl1rKzdTkKUunawvG0vofEaJU/WBX/OjnqqoVTC7qXT+xva2LYjLIH+g0qG4giDSV578jVEYAj6ZZBTcVfvMvnU/ESabL/H1gggQ26icYF8938SIRyG89BIPdQvfMSt3m0Q6SxkR/rRT2bZRB9hRurU38WOdDkT5dDfqH+7efk2jDT6+N3iGaONEuGS6xxEZ8pZlurjnx++xI6VeB/4kcpSl5oAfh+TemSh+Ad4TzHZv9qcPnmhGGIn62Qm3enQc9dk+j33u8JR14EbiBPt/fhZk7xeoPqimUsFn19i+XgiczAPERU1p0z8DgR+q9i+FsWaNRqoRjod6M6dMdpM//t6k/1l/L2t459/fx5pdZh6sn7pxnU2OTWqOhi/Bua5ZsJf/qNL7+kleyWAdT/qsKbNYRHA/9rjENmMCEf38qDbslbUoZuygrqD25c/Cqt50uYab8I/pwmdg+7Kqob3jvwk0ykhp5XtrommKNXpUFt+ssVm9vnh8/0S+Ru4q/xN5M3t+JTKaBsnHCbn2fp//z714XBs+lEof5/5ZoEVEXgPrTY7HWpkIqUrWRbixqJ43/mciCB0N5bThAbqPcKCwokxHoJjPuhiK0FfqVQA/YQoxV2QfydS6powc0yICp00kkv8eqD/B9R8wlIpKaqOR7dgOz2sHPg+QiTyP+SoL7+1V/zZyPnsHRQ5o4jPLZbVqeJfB3RK3UdnGNorr+Uge9fcLYb2foFYLlbdQaUYuFckFL8b89BM8aUDnDrDIv7LDUj+LU47fx7geZxUGbAjdLmyCN0X516hEBT7glRWXi+NwANdk1cgfpSGKAUMN/uv14d/f5lTmyM9mHxFSnXrsCL0FUSnnegMwF41zwUQHNXYeSdfg1bsX7sRpslnSqD4n/pGjbmw2OC0kjkFqEnGr7vupwN39+VI68Nv6sS1NK17EYb8EfnTsxZfmuRZ5TCcwMxSO3b2imT64FjQ6RDNelEpV09LghqJ+eXx1NJujllrin/FJ1MrCcxvLePpOBVfGuyN+a1tNwSpULm558C/Z+2/DOi751+HanQbtqKZ2tRT/59sT0qICcHrKmdnEe7kyYKJgUqJnriCzqk5HaoFX8iqnWPqr2Bwf2aqVpajGvhkc52VNb3L6DHtPYwHkjel8OmvOhnjz/0KXrvTTr2FL+hXuTIyX61V2X3qorT3QqcR84bbezLrYiN0s5g4wBr6y0ar3UP48wtL9UHgD3iZt9pe8ab/Cj753UAtsdsHxv9Lfrr2zCi0fuW081//vqLK73GBth7+ZFoXkGj8qZ/a2JjYaefRId5ja3CzRYQ8YGoglL+gmM3DHcBrYSlUksGo/L2JV4a83x3+85D330ffGPJe9VodeL1O/YVoDU7uv9EQpFQi+v+8XhzEoPjKP+8bmHNyTsV/PC2+qTThJA/e96A6hxmNQfxwboX2LiOPi9KQC2cgOVY2TAtq5M5WYkz9RNd4iCiDHJemJVG7yPfkgSyP6zF5ACPPDHNKKaZkUg7tNafkYhomZWe6OYWPpzApK7UD7aQxKXP3mFMC8b1MyoQ0c4oLvp9J6U8daOcgk/Jw10A7h1l6UgbaOcLSk/yKHvwYS0/Sq3Y437P0JL5qBz/F0qN5NS78LEtPwit6OOdZelQD7Vxi6VEOtHOFpSd+oJ3rLD2KAXpusPTEmVNU+M8sPXJzSiT+C0tP7MC4fmNSrPsH+HOXSWnpHeDPfSalomegnRom5cTLAXrqmJTUFwP0PGJSorsH6HnMpCzqGmjnKZPi1jlATztLT8cAPd0sPW0D9PSy9DwfkBe63Yrp/9lAPS1hw6Qtejq4nBOTZt06oFdawp1Jq3gyuJwP295j51dSUEHqYg601+y3FkfesNOJJzngDXM2s7Zssos7wN8k9jkCnncmmvwNeC7WmNJ/A3knmNLhea7pOaISypv9E3guVpn8YXjuN9tdFZQ3PdfB8854U/nfobzC1M5dKB9nSofnuabnOnjeKTel34PyJprr4Lml39T+HyAP03MEPEf3mcrD84leU3l4bukxlf8TypueI+A5+qWpPDyfMHmbdfDc0m1Kvw/lTc8RD6B8lykdnk90msrDc0uHqf2HUN70HAHP0e2m8vB8os1UHp5bnpvKg/fiZnqug+foZ6b0Gij/1NQOPLeYIpLJRihveo6A5+iW0WcRVrXUoP9T77jG068RZ/wg/pl9dixaxe3KbVOB99Hy1Lwicdo/bWAd1yn65/oNgYDXuZsFoBM3m283lrdW1t6rXtFjnhkWVaPbltnn1IeO6ziNuCu3jMRQ/Dm/QR5k9rUqftwrcdVQu9pGWmxmETviO2i/Jz/Ji28DurjBB+F39F9MtArj115wQL96HS7ghHVFtkW1yv2fLrRfCOOy+k6NzlHu95EHBqsqGR/Buo3yJ3j4dfC06En9fttztnN2UGnDbJi7BJzcWgKytfxbHMquCkM7KJQVaWXay3CKLoHZdER7m2sj2pNIAz9pUbFrioVvJnm9n2rqwdjd7AbcqMuaZ9TFqalvhllCf3fyzfr7M7R/gu3nRKPSn7+1fm1gVG4U/zPjVywdn5vPHjqd0NO1k9pTDNS+YXy2RmodW2ZwLZiTz6ZJkB/3ukXwT+Kb0P5junHS07cMg/nU8jvLp+ga1yT5AnqCoNm22D6CiQ8+BPp+yU9cfZbhZ3n7Jab8ja0G5v0Gd/Jw7N1itDeFdqZyYI5zu22a42xYT0LqSSlIm7BW++2I28kz0B2l4IfvIu3KG5d32a8FP2b2sYXoq/RCvjsvx8QJogjGk41Sc5SrA9m0gCvAz0NsmpDvxDPpMaS2HGT6ypNOo+LJkeztjSvaIpvlQbg/vkC+AA/UQe/a5Dffso0yrM3GR2en+3FnCbBnmeMyYXx72dpqV4KHfmV58wC1uYOP6KzU3dYJ0XkPSqtSf8gt4mNaFfkRV89Hv4z9SHGOxLhnrTCt3SRsXMIztUkPL+VnvP8UtS4PfJZp8o8uri5m1gicFh3MBVRE9z+iHTp21E48ZYBJ/qAxbmm/ktgzatcw7FfZO7d14G+pC/LC/9H5zu1fO6tG/trZMI69NzLnK+O6X1WkEfW0XMX2cwTVTzDz0tzqdeBQRRLuH7jW7yvO9u+LOdsPFv+di0oD8FuDesYXfG54DcmzNqRL1QztnUV72Ur/mooVzeXVuq+gn6Q3xnLPD8MoTDBieeuMBRBlxFMPpMODe0RYt43Zkk8oFFBGNPOYDUTt2YKRFPnSYss7WvthHOEfVfjqYWGNOY2hbSGZWp4lLrRqnZuwSktkc6G/3ai+a/xbP6NVuoRV3GOCkYd5LTbFfVp7AUdROAwT3i3Dg/dDyyOFxCiM+63lSKZHm0M9WnseB/UqvFOG5xwQncsfqcgTjFROEWV3j6Tiw3H6656uwPCcbX7r0BoyWk2Wox1opxZF/Sq/bea9lcM8elxmR00xlPlM6X/dwF+LStYUjwaulNeoHuc8An7+E7ii0ZTNYPap1KDRgIg2O/ufQHwTHD5i7VvQTnBvaPvyp7l1YY/MPInekyZReAtw7jsaHCEahbdxQH7saalvyNf3SiiLNow7S8OmpJHTdnwCUZFN/3OwqOHEe14EB1vxGN6f5SdRw4j3Qroj66JqnvRQZYJRvcvAd6wRZc/ERZMITLTHHxf4X5FMlFCLrEa66B7oULSVEihy+v+19yVQUR1Zw69frzSIKCjEOJOOKFEn4BoXhiC03c0SRD5EMG7QPBpohW6mu3GLGUVoEHcFbY0mOkQdx8lMjEZJzLhNxjWLjhtqknFpo0nGjMx8MWpGef+9Ve/1BtH5zsx/vvOd4zun+76qunXr1q1b996qt9VJors2MyvcjUdhtReW75Z/ghHn0o+q450MV6tmpc1qyZcZ8ozqkUpJUDnXabhEurueCTpMONqoDKt+P0jidn3dNhH7e7kbqf36R9IXobaqE1s9vJOk+n2lhFswXFo/zZQR9BLXKUegQK8pixSG81ykmqE24rm7vzs6/K9Pjw4P/vlXzcP3tLBPN9Q1j0lcHzkHd3rTb680u+bg23m3f9cQIpGGh+DdcQNhhqqZIXXDJVVHq1OaRzpvVu9TM9xrnWThiiQFucKosb7xiy9gDRZyO+zyjajklSlu5d0HmH+7CVeLy5t+X/TN7PQ52+eoX/lmenrZ9jJ1+Y1Xf7JPrsPrgZJ09/iQW9k1X++7gc/Hhh34rnDmH2cOGV4i3VVXJ02r3usaUvswifu++Wfu0k/uSWJmNzf8ZChDNZH/762vR696XRK96XdM9Z4gBp9fxV6jbP/ianRHb66TyPvLe7uXff2Nu8vmv47f19BTrDuqdeuG6FVLoO5bpG64UBclO9UV4Y7uXULrNt7/5tV9W+slKVzKfGb3NrnyV0Fc8HVFdYuZ+XLxt591VQ6p+Ssj7V/DcBFqtURHPFJGv4zw4FapdEsQIzecx/G/2qCUKXfVPsesV+Lztpt6SFMkEk5R93T0/BsPuKUlnRNrjh8Q5tcN3PPmdCvU7iWyszhy0X9QXnpnF1hXYn30QnR2uArkfY3In6zjOy+R6DqS9P13KN1nrj4dImee/WBpirvTD985U1x9yPWGV7juPzD0vM8ciSGyD/ELcwH/i4gCJkqIO+cL0W3YgatNThGrzyv7DoRE4ajlX2y++fToazMa6oZ/NXzYnhbtzAWR4Yo9Y3a6du35nm1Qzk/cpbzLhrfESPa69jeSPu10fbrl/TeVEgXXXR3aAIOW6SSWKWzjEVihMfIwtEvIeSbK71z/Rf0MaIewJ/POSvo/DTICiVC+bZSfLRXA35+banOdkTEkrsYv3rGAf/68h+cvrZA+edqDU/xnijPqrBdniwXSn0zZnXYY6L2Pz0C6pBi99GaiVUr22XsSw8qbOP6HFrvrlDcoD6by3+1uqkusGbRb5EpfQqnpS0h/9yr3V+0Ty5xmWuY0YX9DojxyL4b04RcgCqBjdvkw9vPZA86UtGYcWxzZ9LJv/wCjHvbMt2IOjvUX79I9AcV3MbdAXqcwMnz9Q7L+PXWTTf9KsI1hBw7iar1Kx+UHMVrzU5u0ZhIzho3a7rsnQKOSLe8C/lGdKR2fCwp7pgWirqA7D3AdLjFA+s0GWTeggbsKrx7g1PKIcInks+gRz0bH1TfId8ijB1b1jk5Y2St6aJfe/WsA/zfba35xHNua93av1dKUO3yD8pSc63I3JHrooOjohP96dld9TVKDurUz91V8UPTA5OhwmEtNzszabMKfU7ZoXYwzemEQA/37bbjsDs/dWKQGzemCz9ChlvC/VjdmO6NVsjDAX/LyoZ7jw+8qZfqbKxcf/5C9DuUb8MpP/5rnGZQvpN9uKuFqhiurIfLd4o5KalBqWC7krmy7Mx3arAKMy7ul8ZJe1dAT6VBJ7+qRVb2q46uerR5aFS0dKYmG/vZZML+Xk5QBDuafcGKJxIBl1rDL25D3eWtfvC/SIPQ6pHPaeaI2s1aSAvifIpa5GZ+vjHyOPJeaRp+zvPa1MyX+Cnf218wGU+IVOkr69SCP30n7yZmHeTBz2PsW8focjQU/XokxVuK61492KWqi39PdqHTQus41oG+/qX5OHkTeMtH3S1XD3btSbpGnvFF8qhOf8AR5bE0qZ69zz8gyb3xpebiyzFUO2rw0dtUu5TrJN1cTv1qps2B/N1enHFYDla6Rr+AdM79dJh0KMYpCrsYrHpTyl8tB/r/qmbxImdioSoKVQFjkNPRC05ZtUq1Mk28CfVmwvW7D6Gwnt2Z4ZxjPjVHJeHeNWonXPo2GJhzvxe4x8gdXU7hud0K25oUHS5SR3cm6u2J/beL12pk4syc6E28VT4P6ay555/dISC8X7AGcz1vt7iRXCfNjGT6Pyh1WMjF53Ly7/cUZa4oX8EcA/uKVJQ11Ss0uxX2mS8mw1g2FeGdvYfEu+Qkm7p67tRk0qW7kCVfid6hZ5D72hcrQ+QRriEyX7M6U3eLstczgGneQ7BZ9XhO5N/2+y7TT9a6J5Dsjr4ar1ZqG+qCo9NdOrKt6SQpemH7/OIjhvrkpi5yOkg2ejZLtcgxjjGeWeqSZKw/rUhQuqxmZ3lidIiP1vnCTd078ceaznRlG4vyZLz33Dzd/oN9TSl8TUch9rJjj1DfURjJxt7hXW9ifLI+/xQU1s8PlYcxS06vd8At8VYZnNxWWcKEtEBm0MOblcS6FMt0ljVQyToU7R9k27Na1kgF77ytWlpxw4TUyd5TyVlShe7zyFkT0aRs4d2vKt7uUV5LeHqaI4FbfYN5+4fsed+6X75Y20y9uVgvcuU13W7GHPyE9vN1Ge9gziftQyS641zMJv/2wMGr/hege7yhAH1ZzeZuY6jyj0rnYvVZ5K0i/bst8BnVp7BeoS7lO92rX326HWX9or0sDblJdckfcuXUkxatLxS+hLm0tEXVJAbpk/bvEcMkp6EMEpL+pLdmk6lXrrlb2GN7y8cfhypaPw7sp2fjVfVKHNP+a3e+UKzpVN3R/jsHv7a5evr5OKX2z8/dte+vcxvfa3DP/pJlYt7Ou+shd/mGkXPlm55Y292t1bfgl7Ut4/zvj1Vzn9tthy92CXwm9HXbya3ewPJRqbmc3aq77mPKsIQXkdtbjhzoJ+J0A//K6XdoSfAMrvYaNs3X519vrhOeFcp0vRc+fKVlwb8ED9irI+2bPZFcxRI57FP8lBXktUu5fs0Ib3eMXyoe5Oy9IPkp0RY2Or+XGKgeuVyiYyBJyf/RLez53Gva6on/6Z8WG0eGdJMrorn9WJR7CbwP46fC1mzJRN523IWbWTwNeTt5HW3WDWqlGpRbHsjjPuZgzwBow76pSvjjWLc0zquSL37k95jPk/u0vMGJ2z1d+SvtgSofx+Jzctb3k5jApUHvq5I/drw1RcqrwPCDY+s4XMeJ4+f1PWgyTBoHOdN7bM9ntcn2HXzDAKLwzeQrshQPVzznV0ni5OjpBrkq8jpoCPvb7OrYZVvqdSh52x2+KV+l21ekkd5bvddUqT7iqXTAvZNxRZYK7W2NbQ9AP/HBlGPNqZNO65sgIZtcr3zC77n+Nb0/f1PDaz5lPXSdeG56nYZZBzVxXDRfF4SxatwTK+w7YUacQnp+Kh/H5pKmE+Tp6qF6ySZXwRVMtt0wW0wz611DX8nHDaiW7f3Uf/a7md9mYWqdiaXW46zkmEebpuiXra2TSN5evadtf4zYebuMcZ4sm1u2pk3r07yjRv9ffuLQmer6CYU2XnLdbRy1ALvAaOfK297Xqd9XMrz6ivPQZHN74Mya9EcbvT82RE7AnScPzCiT49d5erk9di5TDGqNGJ64LSWpWMPMbjn7PS2OCmPvLy76I1txRceMVzPjl0ZovVZSaHjzg2IOyq/TZdu+T7V3NmWUSPT7XHtmN4DmgvfdhfRYl6P8ujGyiNb0lkUWgib1lvd0Z9cuE8e0nSQN57UX//+0Omnc4Buuj9qw+2TNJvMu/elgIs/JTvIsAv+e3smTvmj0uj750UxYL9KKhvT2oL74cUksu1yPnyC3yOqwW58a5d5wpiyKdSrRX21T7IUIb8JE7f9PC6ryr8quL3YuUC1Hv758ZUlfH4D2t4TN83nqRQt564TrK/GL9t8vxnta3Y5Tdh9zbQ+9ovbeVGVJ6jxnQl97R+sH5I0nr19RK1p+vTd73A7mjtYR8n6MLuaNV8Ob770nSq9Jc09DTnAirifJ+jYW8OyRL9lNnP+77r8nXWPDdIZE5KNHNE7h8WSY97z2By5ZliL0f1NwAEzQ66u+K4x9UpZjfqTLsUC2JwrtxsMXbTP73VWkQc3aWdxXkBxFa5yZXCbkfR03uxyFj9icVN1/ZlWNlGZKUZzfJn+NC6xIb8Z6c9WvahPkdEl8P+vFGtKaPBFsftE+YD0EwvhtwNEWtPAw5J9cTS1B1MwQtwb/45AalJwN6Lhxhub79GI/c535Y88deJfIlu5SvMdRjn2CbHrAfxh/af89lJu+R5Ve+BHaE2XgHn2ycGYse7OSqKPJUUf8a6nsuOY1geawbhTiGuaOKqTm8x8vL0j1LU6yty+9WpVQ139BtrT++m+zk9Qv6nlMEMc4USRr3t7o45K/LB7vk6yTgm0cuMRLPuVy+wP1t84JdilNJEdesrc9U32b4W353FUP/yF3FVD9uj9wdlURH5Ll/OA3I355beDc5xGPp2I9nvva+gQej7c7kDUDCeP4jBiL82zXOlGjFHfXI/ekur48R5Hk7cgrATuWtsEJWgv4vAFzmDuOajjtdwd+uTMMvyCLnnPUHVdNMMXLiXMoe05zokYB/8P/ILVD+KgLCS+pxjl5Hr4Q+ZyfEAeh1+te8mpvrrNfv/xy9EMi3EWcXfXq+eaR7pfIgjREuttAeg7TdGzi1cpNqrwvfAYG9HYXfAXINJ9/5AevPjCLfgn/nwLXiIXUpyfEPuNktXbUz999jP/zJ8qaSvQ9yFycewnoHzuN7kobfAW/G8P+Nox3sGe3zZLSXzxcijZ/eaRUlrvzMI/HtROL4LCnD/xklPpxIPBfpPfBK/MtLkP4W9b0/7gL3EN6zALkbb0UlP8zj5Hd7YK+hLOrajGG3UPOHKFHzoRW8C4/cs8etUHYX6J0Del+hvl/Dr038kep5Yg36N/lO8g6C84J9PgNjzYy6YZhxY4Y6JevvOd9G9/5SHbvzUu3xveIY7gIZhR+9y7/qur8c4kT8GuktYf6evM3Mu4Z8H7os0IOc/KuE5/C7jCQFuf7NP3/XTDXdfNQtCToNHrbHXWJrJWnW1gE7cVac/Lsrj9iPywu5zFpXN/Icy0zo/++F+X/8NnP5M1wXCf7gQ6x/Z6doqaytb39z6e8rddhDot8foLRdzLMQ28HsYJ65gdL2zv0+7/pij3rPH3uUG7FDX/nkXXy/3u0/Yr3/2ol9eTVXlPiATUcVafuiGRlT6KDytbZaHyDOnZbCmfG3JCm/2XepDmpf8VqA5L0+1/qZy6f9n5sY8Aa5B5XJ/73/Xe5l4l3uzIGTWGPd0Z26+pSn687y3APhTnfmmd/63ume+eDEFWGPgJm3X3iKJUh4imXjDRlegxn5V8HffwL9PSIdiV+y4xZ+J8u+h88C0BEwlWYjP5dGfuKXvnjCmXY80wlxFrNxI4x01B0Zvb94tfiECvPMlv71+gN4xxVijXodsFR3FNud1Nt/WQT6eRjrVOnqmxFLAliXX3uY5w6588My2dWIpsYNBWg11rm1c64ewDu8ttfSGH5rDkbv6cDH5d0LC07gW5XvaOeMP5DpDEJ+1gCNsDsPnLgTPfvcbp/nJJjLH6D03vmI7KO0wKqL8LJlMqy2Pttey2nlrEwV46StHHmL7CQxG99WFW11VuluX+H/NmgbpFerkqE/b4k9OfwyyKOOjsHlVb5PXNCnE7Zer70F+O/SkT5+8sSVrmnQ+l+eC+7LwHgu5cbIVYP14nUloL9rsL5BPh/O+J3A05RNKplK6PebyFEMyn/rVlxD0LgpB9Ib61M49X1Fk4FiKn4lYh54E7m/fWWUe6eB5lGMG28A/V+pSrFs3lUFvduGuVzrq0OYxr7Oe13sqzPjNrP8nsIM/ThwqHhLc+aD6pE1DHgPZsA/+tf3O4672u9/KHKxda2H3/UxtVWgFThmyx/uFMvXeMrXxdSmO6vw7UbM8n9em+08gDT5Zfi/sap//ZQ7vaCEXz1Yj/K/NnvfAUmXXl/FXE+/ori1vSauhjyrz9z+p99X4hh+K3m3SYG2qKmINeNzlsldnOR9BdIXvlytgNl0eYeYNq0C/LfFlHwJ6K8ntWURjN/vxZR+PfD7O0+9KpDPW556y4G/33rqAZUD28XU4aXQ3m889eqhvW2eekDlGU9qC9rjX3vqLcLxdpInz6Heq9DeFrHMWQftbRbL+szF8fZrr8lTbzaOt5iSz4L2fiVi9qmF9jaJZfpXUJ/E1JdQb94bnvaA642v+7W3wVPvF9Deeo98oUf8a556EK0885qIueWX0N46Tz07tLfWwydY/HkuMeWsxPnsac8B7a0WU4enQXuNnnrl0F6Dp94caM+T2gK9HbXK054V2lvp6R9gzlvhkQv0aOPypgKJPllC33UE7UyZ8ova601X0u91Ok481M3nJqL3HV4SxmDs+Wrkw8q9rocg7dukPHq3ciKB7ytzI1/GNxj1m4hXGzm1vCup/+vncumTWBO/mnodwp4eMQ9ck8j1wfFVushJuA+0OI/GoIvyIifiLtqiPNfLGIPW54U39mZ6gQXidHKwHievYzyy7mgTRCM052037oT45iy/Rr5W7JNjvYr7Mb45Y6+Q7yP45Ay4HJlHvkfwklOGT6RiD9zXbt67BmMwb4F0dzBD+rhLmfHUYZBnFUm9p0yVvhDMYM6o+SSnWZmOb4PGnM48ydkJOS+ooYXObdLdQZTKH5SpkH5InxzTTm+aLsgxVdBPPan/T6G+juT20S/FlUu47E9LOANy3Pnsw7yeB2mZfDEtq1lEy8ae9pY562mZrJ6WLT9FyuQk7s2E9FF6rofzk0cURVsLtLNpzpZMo9HKLD9MR+uleDpWHyUI64UEOlYnEuhYHU+4uA98vSqmFT39gLM9jejn+1+/3XrgUi8T+BPm9ttNFTHOBQ708Q3K+dIheXeYhhl3O6/729XIO/90pZD7AJK2u6SHlQy+9frnzq1JgAln8c7XlwnlibScljHMTKttuslmZ8SjcLbDhKkB9tn2AUWmGWbOZMdzh6l8gMVaZCJ/fYoGcBWVZWa7o0M8KMPfwAGckSs1DTBbikyzhgywm+eYGMYwNvul7PGZ+QBH6/MNyRkZ2uTRL0F7QGOAvbRc5EPEGz9On586PkWfk6El+QMc5RUECvgDiqEDtkpL3ARykPLAPEbsT7F9AFdis1ZWDCg3lVtts+PKjbOE9sSzjvG4SpvNZHH8WLmIVmYuNzvyzZZ8UYqPwa+0G0tM/vhiv3V67XgYMMZhqzRhvtClSSR/ikZvMRaWmYrUTGyspbLcGFturHiR1O9T6S+/zPFj8jPH6vTjhH4KdOI1nNFisTo0XKnRUmLSABkYV7tmptlRaq2EbGNZmdlSorHBXz4UOGzW2Zpis83uEOUFLcZr+ngUJzZW0KQXA9IDX/RPA6uzXsQ00DeJ2J70wBf90wI2pomMfPBJ2gefpH3wyWD44DvM5Sbomoe/EpvJVDTbW26aZeQctFWSprixsXZHkdmCcrYKpwJ+kQla8KFPBOhJP3r+VA4ogsljtHAmJnBcykHyVk5TbDTD+GqKKm2eYTBbzA4vnmkGKGRxkYazmYwOs9Ui1uhr0GlI1zVQANOvaFQ/P/o/Uk/ko49wps816PKz0zJT8nXJOcm+afjpx+UI2e3z9WMNPu3lgxQJPYKSlZalzx+dnJU8Oi3nZaG9skpvufblHP24/DHJE4S02FRabtq4sdlUrhU2K4fzx2wptkJ6jKk8eQb0AKdDvLddjThRDFQqDqumwmzREFNksmn60JzS2XYNjgek1YyHHzWVQzw5LbJRFYEWi1E0lRarrchk8wgMZx/Bt8f1qYwTZ5+QJvQoQXE+ZuvHjR8DJm1sdtrEsZkvisWB5eNydGPH51CBeJHa46Unp6TodS/2ZXohUjz+9dIgXj8Bf8aQuMFxg1A/Qa8gPXBg/Asj4gcNF/kcY5ytGTxIM3jg4GEC3zCpobEMs6USLaLNbOdmDBvKDBqKdBBv6MCRgwZr+maDVFONDg0tiB0iNBg7dogmtrjMYX3RWAkiji0m08ZmhqllLDMb7ajNNNNUbrQ4zFys2eIw2SqsdjPRxthiK+hubLHNWG6KrbCSQlqh3OgojTXZbBak6oDJG1tmtVbEmsv9kzPAsBE6WWmjNbF5Zc/Hjh1EYazRHmuBOQ+Mk7TWPru80Fpm5jRkXKdbrDMtTC6YKOAjXkPFwGgrzWUOSGFayCLH2HEkUyPiJdu40nif9GhreQVoni1eSBvKjCX2eG95CkzQVKO9VCz36K0+O3ts9pR4TVGZtcIkzs54T9PivKq0m/I5x6yO6kG32lWj8ykvTSfyT9LoGPJpntnCkfwiE+czH5NzRqfmj8sYmzPOr96Y5HRhOgrptEy/NK2XpoN5DNZhbLZOn03mPpTPtJkdpr7FRc9rYmYYy57XjOjnZ//y0dLFce38XR97fB/SncCe2UsrHUUwcPkzKR1P2haYpghcmdVu8o63hrOCJ7MUeVwZsbTg28T+kjTYDC4wnW+vANUx+eFxdI550mY7YBlnEl/tl4+W3CctOFhP2o7O2WTzpNHIQKUSk8f9inSIOcsXjZAfvg8RD39lRnO5T5q6ZN9yk9FSWZE/0wiDZPNtx9M0SRejj5rpTRu56X58ERPp2661YrZvud1cYjGWedNldpNpevt+edszOcCT2QLaz0f77dcuMdL5xLP5ydtuMvqNSzFncZT5pCvMFf743qEl6RnUKATI12F02IX6Vv9xt4GTtTnQ91UI7s8jJ3HsqR7ZORv2A5CoHlSWV0Ble2W5v17ZTQ4xm9IptNoEupRVn1kh1FO/+O8e1HBA/JisydFn6Mfoc7Jf1vQdnTo+86Vx/Tx28D/UDJNJ3HClpm8WOuU+lf2gL2WVGqMddQUs9lySROdvsts96TSN3WEtMwkpcg4m02Yt15Sb1EJc9m8eAn85VoexTDPaZrXbY8dZuekmhybHZiwuNnOUUa4ULIpd07dP3KDiPn3+k/KhpMaNTsZFQXJOKqWbB3EAWFVPTk7aGD1EDEzW2IyMfH2uPjOH4o3LSs7LBEjyk7NTBgl8ienBQjonOzkrn6zEhPiPhnFMWgqYdj2JY0jIk63Pyni5/Xokj1gSDTjeSgtYzwoYIZydZrCIYoT1vKbIVGysLHNgCAChQZm1hBQPVHv9ESxWXkrLyBjnG+eA2uVnpI1Jox0a5OuHssZCXJipRwc2UMgfp9e/lD9On8P4pvWZHr+H/fDxtzAd6RT1NR2+swlNg2+6fRybP3o8+L4cm7mkBCRQUmYthE6Zyk22EpOFm60R5uo4E661TNx0EtNo0HiYOpjfmoRSq808x2pJ1EyaZgSKRXFxcVMATwemoSMCgXZDM4msg6aI/dWZSGiFAqfWxs+PeeyPJgFHKVGTYC6aBf9gH+F/urmszJ4oyHG2hdNQg6axFhcDxx3YNU1CcZGAn01MoKbCaHOYQR4eU9jePtJKWWBCNQadvz1Hu6pJIC40H5DgFHxavtFmg1P0XeSU4mfAegpUyliEvtYu+hXMnJSbnD2FybKh1Ig1c5jKYHgcNLAfV2qdqSmEIK8ITIYDqjuM7ey+ZlKsY26sdW5s+dzYkrmxxXNjjR75jqP217+eYJQT0jKBUZiV+G8wwH+GHnImkRhEoDCaapzHA3n8kSYhOTt7brYO8POAfwNoIAQrFogTyvz9mCbBoMMhKyeiHweuTiMuVnz9H0HztOfBaOc3NQkgLxgPcfYKvp5IzuD1wySd5vXT48CDa4Ck158LfJGOT8pL1WeO1k8RBgPxSQggrkb94gKBU3pMNNmssRg/aDqIf0i+IGCQNdU7Enx4FM4bjwj8ZBkmzCX9Ba48i7kpTDI3XVNohO4x/not1MIwFpoBPROslhgC+cQjQBvsAiKnZQCYBEvHKWI/PcyPpiGWRgyxBMPpGVmfuEwzCYLyuRCQTyH1IHTz4dAbz3llSvpfiSbYXGwGC0zGyD8MbB8fahIEaRALkG8m08w748iuRiKlS+gRR6fxRGjt4tD29Dx80dlnhVktCDEwrvSJc8ESWQgVGEgfRjSTPCPWvr9lphIjWFy/HvvG08TSaCaJvZtC7SPd20I84u/AjIHBMs8xkSyyIYajU2wu8Y/fNZMMGckp40Q+RqNp1piLNcU4Uc12TaHZYrTN1lhtmlKjXWMvNRUasYV26wJgCmr463uOcZZmtCarrLLEbNHoYbFR6RDCT+86g3YmAQIe+Cd7UThwVvgrtiSiXQL6IhOwwNEINgn8gNkB/Ig7WYHrGT+yaFM0k4y2ErvghRhmfJnDZowtNsIImUTGwCFAAtQZNZ00aTbZA9dLHfLbvgEDUobFrS0WJATsQDCB8vGsy/zIgPk3zsaZhuSm+KwnzESrth3ledWxjn8W+CUc+/Hyf+UXWD8DfrTXLycxEpaVwiETDnnAoXjMofw3D9X/8iF5WvpzHcswuId97G9t/GQ4H/HfbfxCgL2/a+MvAAy708Y/L2WY+QBLAb53t41PkMEY3mvjVwDs+QPgAUx80MZnyBnm3Ydt/A6Ay9ra+CgFwxzh2/gkgDIJzy8EuJnl+T8BXNSN5zVKhrnQi+eHqhimewzPrwDYpOf5TUEM8810gBAEPgD4LsBTFTwfFswwPWbwfBnAiJlAB+DnLqATAnAdz88FuHkrz+/oxDCN23heFgr9+A3PPw9wKsAMgCsAVgD8I8BGgN8BfA9gzHae/xzgBIBMZ+jnWzw/AWDX3/P8BoA6gAcBrnob+AhjmME7eD4HYBHAWQDXANwA8ONdoHNdGKYNYAHAge/yfA3AQoDbADYC/BjgEYCtAO8BjOgK+HuAL4DXPgAYDvLcz/MXAG4DGBEB/B8AugC3AywCWHEQ2gM44TDPnwWYA/OotBv09zjPXwEYfwL46w7jdJLn+0YyTCvAIoCGP/P8VwDTL/P8vacYZi7Anj0YZu8VnncAHHoV6AJccY3nrwM8AjDkaZDTdZAjwGE3oT8ACwBue5rOpDDBjkjnZDOSuRLJ0yEs0xfSUbhXdauNr5DhJl2oJnWhrF5Rxa5SzVUf0h7THtee1oYy2mAmA2082oLWNv4WQ3AHausVmQtlVWzOKtVkiq2j2JNPQ+KQ9rghlNGFDqxikeYqVW6Deob6jDZYqz6jC84CEo1I8+8eehqRnmWVynZaK1BEeul4bqDnkz2noRqRctZpYEF7egSQ+Qp+nwPNCkozK4tiNKgbQ1aHrgmrYtlUT8fOaM9qz2nPE5ZPAXpvCcjpH238CJbUrdA1qKvY9HpFKvC+UEYJuLqujZi8rjubegwI0Oot2gvai9hd7RnCVkUV26BOPwTkhZQ/C0hhIlAoUlMufIjoggtei1rfg52jvqT9TBtcAP+6i1r/lhbKVqm8hNZ1xwraQGagIq5N4XcP+uQAe7GXOOnQHapU7FTmKtUE5Io1HNPBoBkO6SjrO1RebnXqY7pDWKo7Y0AJ6Qgq6kAGyOcS0NwuwUToFTa7fR/ZaWsjCi+w77UTdgvVJxyfRqCTADarF0voHJRmBdJhE1xdpaeYFl0HQwb4HTRboG7RBrPxLTmurjnqFgMoG/3TBme0FEAzKrCP33zfxs+QEHlcCdYtlOWCCtcrLKtDJzeGZCM1QqkROq47qzuva8k6rjsHojhGRHQluH2rE0+fOXvufIvuOMwlIFsGbTwAG3yJ6mCBAbQI5ID9zqhXZGHNhTI29xjMljOZh6iOhxZ4yRLdOpN13OCTQTsvZmiP9QbSZ6EdC9j4ERLaDs4fpDJDDcxCDTJqUPQA8H55v41PpHhZutWhMA9miX0AXtK90j0E8kV+AsYC55YObIQDfMkmSuegRAcTg6JRJOnzkoDxJmONV47nQ90L/2zjb3Qlcm+VzUDB+bchqjMU95aulasBi4id6CAMxTkcDN0F3UXdJd1nxBjAfAVePgfahaE8n9kJF1ShmzoRfVwTVq+QJkpE4t7ZIk2V4Hi1XLh46TND+2L2l2JrnrYMlIvzZKA2depoRgukDV7SEzpoeYa3mE3ooFzDesoLOig+Im3PWns0Iu9W8O8bevB8opTMrVOSgtBTVTJxsNb3CDQi0lBWDVja9tNVsCd0KJkQkHcGxAa//AnPL3kGaKeHrpDlIFU0rsiMqytQi5CIAwpsz5KePXfh4mfZPllT5UgeSRPhCk1ic5eIkFfIflzIrI6Q0/mQ2wxhxKFjx+k0ROnpHk2hjFAo8lKY0I7DzZTpVJ+sbYrALJhbIILJECP98HOeT40h+rdCIUyKdd1XqaSTJb7tk2G8rqB8gvoFlrGtYlFOu2q3WN9J4FXL06AJRGaKRyhmT4lIuKhdm6vEoox2bWYGi2WpgWXeuGIyxIRaI893FWIM1L8KyEuCvLMyattB/w4+i/w1hlAOA/j7G6jfwUeonzDdCe2PgfZ7Jp5Plwu6PREJr1KJZsiXcGroqWelU6WP1m2BOG529oW4dus0nv+B2u6KqaGt8x+lSanq0IrHTRpi/4BuKsTJxzRERw4qHOJcbO/OU0MPxkjfCAWBKB5r/5D250D73cUQE1M/uoktCN20QEZlgnRFuXiEPVWiBqzHzvWBMNdHQFw/YSnwHULm+qaQAtHc42xHeqwD4pkLBcRdI4tFq0MtxIHaCL9T1b5dQNaR+LTVodpzayN0F1id2HcQ5jK12EWIfrJQ7z7LosUWLJd+w5C8aeJkvwjENoU8QuujJAK5yed82sm+8FkGwllq0tBUCtidak/b0isS0pCHs0bCiydJahqCpacl9ISthWLsPIm5cO1zay2sHQS/nIshF+XRl8Os0CvzpdJSGIuCHxkKQefR1x+Ek4WvwfpLiL2FOJ2dCzV16Orh6InxL+C1Al68EFMbMKCehiY2lEHVU8E4qtfz/GB/OlNFMojzPOBEPQYnC3BiHoPjAJyhj8FZCzjaR+DgnPwD4GQBTgGNy5NS0YpUsZMb1Nk46dl7RHLp2MmzJHZJ8lUJdhqoShZNsWsJKpBJgl8ExAsTXuf5iXScKsS21WLjsPIgtZapoZIumNUKUSkdJML/BKBheePH+cd101zAmQs4mUL8BTgkApsvsggks8XRP0/60WEMtiaM8v0x0JuzEdbejIdeFVuvmOzDd6pYh81Vi1oVLOoX8h0GGnN+46PHZijgXH8EzgbsP+D8A3CGSamud8BLhjAONuAm4RxbJjAEUblwkopdK3B1zWgpBLFmitmG1aGpxJDspTMCscrU3jkSDFXKfKeM2Gffft4D/hY2PbqfPTszzJrH4CQBzubH4BQBzs7H4CwEnIOPwXkLcD59BA7a/FOA8zngKLxzguCsUrGlp9M9wvdOhamNIaDJpSAYdgKcZJ8hsUfOWZ36DC6Q8A/nBcYzz4Oe1W7m+et0T2AHKxCHlcsEXyPLLiL23wAGMRFirnRf43U63bMGAQIdmWi2Ro3V04OzCZWMi5ek1xh/C9jepqeCf2J3CMsE4qvYMkIl0If5VrRR/PT2fs4XS4dYZP32fBeGmbaNJ3ttwP4pCTGimfWKjOOp1JJiJu1TDo29sS5dORJHlSBRd+hYxerBDK6nGqGdqdt5fpr/OIOYJ/oOoWcDBSdM8MTTxB+cgrpLoO6eAH8Q7zPxEO8e4PX4Lc9nBOCN8PEbQ+GngeAtEfCOMB59CpzHOmILJ1JbaIF/rDcB6n0M9b6SCfTrSRSaC5HvafZ0us9KVHoC1mI5pwENfdgKqDd3B88/oDZxvqQD45uNw7NK5d1QQCmXEVHOoAlWq24v5eCpFPqU6NprUi4sE9gR9Bx9FfrZcLB37/D8KdEf0L5MXBuRi4EUO1Vcaa3rzi4R1xo+el7RcSQyi7LRor1YcRqYuaBdG0F0G3WF7INsgHYTdvF8dyFegHbRv2W5uq5SZa8Jg/ChdG0E+gzWcYysmoS1EujIWUFHCjpqOvXYmXPnERv7j1labL+Fwb2usAiG+Qu0OUJO2rwiAY+BNCaTEaPbeFk0Sq9XwGRNdXWF1ZEQVsWjerefTcHSrpKzLWAJwNbQKbG+R3FHiBhAIuW1EZleTDaT1GUTvVnS5yk93FojJC54qpL+idlAGefTdeiT9j2e/6VX11GHc1ap0AkGazucVGWnmfmo/90Ypgbq5uIYwKJBBiLLpipZjC1mgQNbeJaE42cg0MN4lpgBz9rAQHbLDKfJnuepgCVDBgmCz/pWDc7CWIXEseegyRCwNZuBh9z36Z44bjSwOTSGB/HP8l3bZOHSMwdW2UMlaiJQiEQ3S0FO0mkSGkh6RX5ae4HuWrAeWkm+tETZ+9aha6JDZFfxgtZbu+MgO/U4mQk4dCtEymyqSM+3rXTBbnsqZGIpOxFxO+CpqB1PfljsZIqXKxCb3DGZAlJYSGoIDEj/JCHkKoSGMgQKOUDB0J6CQSi2ddxABinUQQTj5VfE0q4JKzyvbU9K2zGpyXQ4dRDDYxzwLl4DOPzo2PhCJL2+kCjxi78KfGNYXGM6QH+HUYuIg4jmWzCKBWqItQrxDzSSBMfoNwaCUUw8wvNz/GNMttjHb+De4gTAWwF4k73tI4+ZEIc0+s43j4EC/6ELhtgDAtMzYKrPCOubTUBn81GIIxmf6xBokgq9lyFwfXMM8HYCXhz1zWEZVay0B3tIhwyhPL6C8oPHeV7LkvVqloGqPeuznQJDzL51nJ3sUS52CV6tOJ2OMzeL4nuxGToWSU8xzPaPeL6/MBaGepDHxEOiKMg+SBHg7AAcA/PkeHI8OZ4cT44nx5PjyfHkeHI8OZ4cT47/6cELx4+VSwR4V+Gflij973sTj6cEOGIuxRRuj2NUAhQuazNJQnnPgPI7bTw+Ls2Qa1FwyIX8hUJDAhsMuZ8Onx8TnwsS+AkW0lHi/XgCbJ1H2xPIMmsF/AghLSSZSAFuG+qfX/CUP59XelEYFNDeTwUottPG0/5cifLI2+pb3iqkPxcavi+ku0n+/4x31lx/wqp7/uM/MCDN3Hu0fvxfO/r+L/VH8x9qNyqATuD8TUp4Ap/A/33I+xxPvOyT48nxf/OQPMF/gv8E/wn+E/wn+E/w/8f4KaNHx2v6pmSO76f5F15NlkxflWHnZjCSSXAqC5PbZgwbah5cMSi/fHDFwHwjnhUPrhicX4R/HObNMXN2Gz0pNlk4k5mcl5dXlg3CE6Ox3EpPymx2Ds7IHkaYwHxKcm/JEOMgpiKZ8ns+XuhRnL3U7rA5jIVMnMXqMMWVWCrjyPsnYs1FDEmVGu2lTFzRbIt9djmFDhstEd9D5JvIhzKbqcyIiMJZRZmDiXOYZsG/zUreTBFnKs0nr1TLLy2yeVOARYsdhXY7E4ePteeTZ6qZuGJIiOeIg5SBGuHHWG7mgAerg/zR5igdQgZfqYUvy4wjAo8zOhw2c2ElvuDS21nf3P/IESzsKYn7PyNYf9g7AF8WkMb9pe953irWF/fJRBjC+u97qQL3PwQe2IB9NBFGhXjbZX3qi/tbAwXabMC+nAjFfbgfmx8jhD0wsb647yVCVuLPPxsA9cKempgW99VEOJ/pmH/xyPEp893XE2Hq0x3LT+z/VKG+NmCfUITiviLW79ZBfU6QieJH9msGyv35DQuApQH1xXkrwuL7/vXZgP5bhPpi/gVhvotwQpQ/fqD8ZgTUHzhO4gd17KP1tyag/qzxEn/41KPbXybUlwqEBwr7mSIMxA9MrxbyxPriPrUIzz2m/nr4hfroR2D9H2tfhL+GX2ef+uI+eNK/WH+X2H8hnSrUS/0X+39Q0B2xvrgfLMJTEv9xUwXo3/GA9jW/lPjBU5JH8/9pQH1xX16Ea9lH128JqL9wgcQPqoIf3f8vxPEX0iuWSvzgtsfI75rQ/sCAfLF+3I/EByL8K227ItAv7BfqFz8mvnjIeK9JEL1bRjF6i/Ax/sNXdr5HqlA/XPLo+Ob/Aeo0yvRglgEA' [x86_64_v4]=$'0 150312\nmd5sum:57a0ceb0ff20e0cdf6bbb2c3c2130db5\nsha256sum:506399f8b8d2993854cd16174c5aa8488e2f30804a5307672b900b910bdbf9d6\034\035\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' [x86_64_v3]=$'0 146216\nmd5sum:1f93f8cbde11f4652c38e0463a26768e\nsha256sum:4105efd2b6f7cd3cdf78d75ac4d76f028fdad48523c273aa64b9486c774ba064\034\035\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' [x86_64_v2]=$'0 142120\nmd5sum:dbbf3752469216cbedbb5748c63b536c\nsha256sum:ca466ef1c2347713ef4526883e6885aabc5c4de11832574a86f6ba2d466e8c5c\034\035\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' [s390x]=$'0 140840\nmd5sum:46dad031f26de905843c5c7bd71fb9d3\nsha256sum:fd4db14a7e4047f04c8308424944c213c2318e3ed070f2f8717b51ba62f50b12\034\035\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' ) +declare -A b64=([aarch64]=$'0 137336\nmd5sum:150f1e5477759c10042b1d93bde267c4\nsha256sum:0843291cffeca9f77808bd076f39ebeea125f30345e954f4baf7029eac9b7b97\034\035\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' [ppc64le]=$'0 202656\nmd5sum:5ac44e8b06b666659371970418f807fb\nsha256sum:98f3efde62d2451f7768c7eeb09d323972dfb63252d62475c56ad182b78ec907\034\035\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' [riscv64]=$'0 104032\nmd5sum:9c344233394d7343c336614218ae9ff5\nsha256sum:6741a84f2ca4905e9ee1484ec2d91de233e268f27aef76cd07858f7abe23410c\034\035\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' [x86_64_v4]=$'0 150312\nmd5sum:73ddc9743ecc5131d6afb6a3aa0e389b\nsha256sum:715ddfa7fcf7115a644bea34d3b43eb5e95886960dac45dc36f36c47b0d7ec9a\034\035\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' [x86_64_v3]=$'0 146216\nmd5sum:b461c36bd5efc0c0d6f22d2cb87e3567\nsha256sum:2c38f4fcf722b596cd313be869a1602430de6b1ce72bd2b5b8680122f70eb28d\034\035\036H4sIAO/pFGoCA6y9CXwURfY4Pp1kYICEjpBAENSogyaCShSUEdAMTKAHJxAVlV3RZRdEWFFZSBQVIcnMQNpmEBUVFRVvPFZRWYyAkDvhEMIhtxDubsIRQHJBMv/3XlX39ITgut/fn49muqqrqut49e56NSvNMzRCECz6v0jL3ZZQymJJ5b9Lbo8w5fW3dIC/V1uuorJWy+X/bf5GCPu1xLIfTEXhw1Ke3+J37FhL2K+5Xhv4P/sq1p/sm8N/58exctnx4fUieL2lvN7Sm8N/Lfrw+K+NJ6P4/0t4fstfuyX8N6pFvT6xrOAlv7yc/qt/ry2vd7nxRfNyNeHDszxwJHP8/+V7GbxeXDOb95a/Lj5O/Vcf331Qr43lz//T+3k//97lxpfNv6P/Cqb5jCP4tFiGjXjQMn9K5M9fTZ84sufGiTEr7/lru/usbcVz4tWNkveETVKsv/WOsEj+gsyIYKXkLbEVG/0I9muEV8GeF+GveE0qPGF6Ir7SqoLwr+dZTONntUpKH8c09kYroPRBTGM3tKWU3o1p7J62mNJbMI1bQptP6XWYxqnSsildhGlcZm0KpVdgGpdDG0vp7zHdDtMZlP4S0+0xnUrpjzDdAdN9KP0OphEstERKv4bpGEzHUvplTHfEtIXSuZgWMV3TjOkXMB1L46f0VExfQeOn9D8x3YnGT+l/YLozjZ/Sf8V0HI2f0vdjOp7GT+nhmO5C46f0YEx3pfFT+i5MJ9D4KX0bprvR+Cl9E6avpPFT+jpMd6fxU/pKTPeg8VO6E6avovFTuj2mr6bxUzoC09fQ+Jsw3dgL0ok0fkqfxfS1NH5KH8f0dTR+Sh/E9PU0fkrvxrSdxk/pLZjuSeOn9DpM30Djp3QRpm+k8VN6BaaTaPyU/h7TyTR+Sn+J6Zto/JT+CNO9aPyUfgfTvWn8lH4N0zfT+Cn9MqZvofFTOhfTt9L4L9L6Y7oPjZ/SUzGdQuOn9D8xfRuNn9L/wPTtNH5K/xXTfWn8lL4f0/1o/JQejuk7aPyUHozpO2n8lL4L0/1p/JS+DdMOGj+lb8L0XTR+Sl+H6QE0fkpfiemBNH5Kd8L0IBo/pdtj+m4aP6UjMH0Pjf8Crf9NkE6l8VP6LKadNH5KH8f0YBo/pQ9iegiNn9K7Me2i8VN6C6bTaPyUXofpoTR+ShdhehiNn9IrMC3R+Cn9PabdNH5Kf4np4TR+Sn+E6Xtp/JR+B9MeGj+lX8N0Oo2f0i9jegSNn9K5mB5J42+k9cd0Bo0f0ohDg/2234g4suDGiP+K17G8Yv3srgiLv0D0dwS8Bhi4T0qBJPewix9Bnu8g4L6UAvEjp7xHLoeMeZt5Br4shWdJnmy35SPG9cjj7bEeSCZ45Ex7okeeYU8SP5J/lYuc+F9F4fEoZ+Fxm/eg6MT/8UWhGpcmbxeXFxQej5Zd9otyRc5BpI24AW3yKHu9Uy4X/c/DZ9JS1qalHE5L2ZJSW1dqybZYMtt6Y+odERYBkpDGpAbJCExaIjC5G5I2SkZhcj0kYyEJXRX9L0KTOUeQQon+ADw76wr0Vj6GclEuuaAntdM+J+YVRwSRMGdtAaVnUdqGaQErTIV0IjYQwXr1D0inUoM2C5YfCWnoMPtGLGUNxCagI2n+oOhvtrJ3idgxh96ZVEhcBQkgg1Chg94HfGVJFf21vBJkiv7dkPDXZt7OMmKxwu7+EcQNYRaQB8wqxyzYKs6cKiiVKPqPAd3xBtuIsxcDQcxHopayFle6Qv6tttiGVRZgFehoam0pfGYJlIenWNH/CjzBVNqwx5nR9PGb4E0i1hmLdaLYl6OwwBk+pAhM/NqGagqsS32p/QhsFRaijLUKtUT/N/zZBs+v82fs83T+nA35j+r5UHcwPMOCQN96R5tmsDNP0KI/EKPPmU3032kkoE53IwGfCOoNWCJE/yHWLmSvY0/Zov87eKotg0V4GztQhBMk+mfyZ+z8OP4cC88SFi6C+n2icb0PZ9rxDXZ5ehtWCj/zKH/GPj+D4O7fIvpKLGx8As2V7c4IHLbFf1LM+zSKjzwV35y6A2cxkXIiqOxeykllZQge1lFONgF9IpXJpxyLTQfrJSwdBWlqdSFLZ+NU0EIHowxwEv1HeSKVLeSTrHBqbRkMbDW8yznI1ujjKARh0TdFB7GfEFWIH33BxvoQQO4SmNLBVj6lN2EGLE9nyoA3a1gDeac7EJh5lsByvQVT+QVrP5umF/Ke1Of5IVodANe7o5HRF/034i90S8HfKOztF/3YToBZzuy8BOo8CK/kzYVaZ+8BwSmvw2W68gucKNE/lJoTsNrUfgyy0/xrMzvhANlEPtKPLYw3GP3sX/JjQmPEj14dxTrRNoqNqywSC3Z+tk9+HN9v2Yeg95XtMTvh2W753ahqbTHU3R6FmVeJc0rhA/m4FoBOywfRw+xN8INoF/JqC2nBjvWNIMmgthDqFsCDXOGtgsF9hnmlMJXz4KGukA1rmo2m1a+0w5dQ4dl27CXugEfacciE51T9GRbnBay0Rczr0p7WojuWZ8D5JH4bACP7CIyxHrqVE4TFzn62d76NuuiUd9KQbo5k+IdwwRWRWC4RC8z5WMAXF4Y9/nSW6FtjoYQzK3Oi6LubvRny+NOZ4oIip7e5jTgH8/KRS/fBNkmBhGw9ACKuYl0PfwkyMkUlfjckCDaIsClApzwKkKiUAo+CREpBIqUAkaoWy63vQ1kUA/KRy5aUHnYQPPoUpxQUwxIJlXJR3Zbsg21E3yIiRUCE5CIgR3VbEAraWJzigpJCtbNTLnQCAGmPNASD0E9R9Flh8qjHvi8i2HJZtPvgAzkxV9/OgEZ7tgGTIhPQU7VzlLTczkiMNp6S529jaFLrCjQe6BwkE7VmerX9NrZrtW2ULL+NQbaWD0noqPZEk96XsdgDkoQ2AScNM5qY+ABM7+cRNIv+DyLYND8/dZLoe6YdEnlaj2fGiwsKAq7UKG0hVMu/lpbzC8Jtvnub8ZuP3MaImTaQkmMxCYuqNTRh8j7qYKxF8wD/kn91aHfgJrsW974LoGkJQNfN+AurhdBVWwLA0twO4T9RnI2sL36Z4Q3c9tvo1fXi7CPAFRKy3AsP+Xa+p8TlW7OrhcwrFWtRSoTF2wgbsBFWNwY7Ilu/gbycmE9SGEnVPrqI/Xw1ha/AiAs4xzkpOMd30HMWPNu0jvQ8CZ6jtPONWOWxFD60XtTCyBQ+9z0asOQ9kIzQImlZ+qcwOqrddgGTPfVPH6dklxS+2lsp2VYvXEXN/t6Hz2cJJU/2YYRd20d92NeHT345gcYWSKZq39OrNX1oRBHau5Rc2ofRBG0BdenDPoxoaM9T8rU+jD5ouZBUPPZ6Vzstp2E5zvmcSNjD3ga3OPsfsI+82nBvw2Rxzq2wJlIg/h+aYJHGRb0sCZV3B6tgS11UXPZ67ynB1U71NrcX58hULubUcSwX950krLs7eFCx3gDfk4sQWSbkrMPRZx+KEl1FchGloohHgYVOK5KtF24FyP+9keC4reg7D/s+nyT4tjAh5VYVXiMuDWQs9jZ2FWcPxU7WjxRnD4KHwHwUs72NbcXZt2AyY6m3UXy2dyAj29s48ln7zTstWFh89spa6yvQDuC7tlCs1hqAhE30baAvvAwJEvF+puRzkCQJ/xtKToSklZqJEH1z6OOiOGckzFm5NQPekbLAS0UHYauYzKTkLbcynOOtjxJ9P+Ek18M3P7SxtvwjqVAML6R1u4DJxlsiLCLv9G2BjBoYjjhbwa+qY2nUs6j/+6EYbK2plFgBiVTRF6QGfobElbr8VG79EpLtqb1rnr3WW3+rOCcd6ijWXMivLYHdeDc2UZIo+gqo/EzIJ/XFd5CUaB2wO5JsHQ9veCcfhEfSmbQ3CnVjhe65ha9lubUPPJJi40ijXqgTK3QlFtpk5HZmuVGY+5OR24XlnroZcj+mBvfDI2lSFhiFOrJCa7HQTCq0Ah7xjWJdDE+AbnyvtcWV+gxSpNZ42KicwCrPxcpOI/cKlvss5vYycruz3LGYG08fug8eSY/TBjdmQ0fR39Sgl05kpW/D0scasPT18Eham51GoWtYoRgsVGTkXs1y63pD7tdUVYVHUvC8B0kkS1tWI4JFgnUUCFORdh/kxyC6ka3LsNr3dbT/ezP2Ti6s25xzwJKK3NjOemhhM6ajiGGugLQSMwtKyhu9GwW5XyY+bq/bnnPU4oqEAp9DgbpKwMkRbUT/O1h7o1xRt8W7sa23IhJpY41FdJXJ1oH43Rfq8bvJvRmnoM2kbnRh3RC0cZRs25tjt3spWd+L46wUSmq9mCSlPUfJfXrypXOYXN+Lo+N/ULKgF2/KTcl/9+I0tP05RJSfQjJWO0DPb8OzoFVQsdm9ePe+peRzvRhPpS2g5ORejAPUnqfkX3px5PsYtXNfL0S+Q+nV3b04iu9FyVt7cfT6XS0mEykJBObNWqyY0AuJykx6Ze3FsfYESqJ+g+ankNo5dhPH2l9Qcid7m63No+QvN3FSMY2Sq2/i3RtNyW9v4mNJpeTimzgHciMlAzfxoXWk5MybOBE6exaTz7AP2bTtlBzLkrHairPY/1E34QR+SM/STTgJ+87jc+pNSDjt8KwThsBDIhGGyKzJ3qombz1Q+aMwTmkFwvaNBNvx3W/CrUWjt9zEJyPidwT1puQIUkVjS9hM/QDRZ49A5PWI6PtewId/irP307b4FcqSHq8SqXFjZ9H/Es61Cl/MrNV30w1sN30BZbXH6Ivzkvn6r6NpmJXM5+wHWuFpycgVvE/PT2BnNJmeH0nGgWZSFSmZr+1f6VV/KvYBvUpJ5gD7FSWvS+bLNQGS+YQw++K8NdwpzpmCo2mwi7N/wQetp7ehkzhn5XmiuRsPmWkuG0kEG8n+JBjJgvP6+CI5/sPcmdR0D9GfdR7n5zvII350glFaYKXfxdIZVGg+PJJytBiSOQ0bENv7jiNumINIJkf7EUlHA9C7RChA/K20teoLmbBHJCC+L1KzscpFA1Fey75xJ37jBC1qb3gkheyNhB9ikjikXUXr0Xwj52/PYQ9iTt/It8MeSlbdyPFDCSU338h3x7+p91tu5OTWim97lqNaDHnSnh/iEzyWW7+FJ9I+fwkYxavd5W2IEeeM+t00FnsCqWUg+YWNNDQfATwtuUL03fK7PqZoNqZx0JaWQGMaDY+kxFYo6b6RsSjaDEgGnGe89bHinFPnTF+BnxJYGWCgv7BkZwO1vb8ZK0ZDRWLZcfcjdZ59A7IzSOd/JqI9S5xdTNTs1A1Ir0HqXWZBkl9xA/Iv/oUWEpRRP3ESGkQ67p8AI9XOIQA2/AavM+8X54yj1CZaXQuygw2/4rP/3nP6EK9jQ8yGZrV+57BrWTdwGr+EkhNuYFyQ9jYlH4AkWRlsRhMxrIlB2AQilXLrbTdwRupxqnP9DYwV0R7CwVZFAXboVuCtuuAtiJet7bHaSqg24RbxGh8pL8VrLFJgULueEfBjjcAfR31mvKRY3+zEzEftglXiNbjfLMX8F8rvsmP5flvwJ7lZkmukwlP3SIX1kZJQJm1uzoyDBp7iDdiCVRPEa1yh+qgvzR70KeKcrF4PSt5Bw6EkjOpIZjQ03SU2wqK2Ox4MquNhlcqsL0E54VGoG1Zfew5e8rTzQbf8q3OUU774oCSff0CSt0reEwmhIUrybkk+5ZKPqRFHYR79BdMBvRRnpkpCafUhaFd95AjgVmQgM7d56ztk3bMCxVei/1Jght3mksfbbeUuezRykOrdajBY/TXazUC4TfDI6iOPOsc4Hy02fQ/ypXKylPF38JEJofcPyk3QyXNopquOwe/vOQxL1T8qK26Fjbq7Tz6tPnyEdfUg2u4egeZN7Svxm6/HuQWB7UoBZUwSBmvEpS+/OwQhziqQCjpJiX8by6EyWYL+2+4ZLFr8WzLTYHHy4AWqmhNTToIILslj7LG4VolKjyT/nudHOr0lgtOxbVosFH0U2/CWRsH7rCpJgZKoAEhUbu4TF2Hxn3x+uHLzdexpCqoHEqDDScU4P2okH1cXNq5Apt0m71dfOsxGVqXEN14XYal+Xd1ziJVbbip3Wn3QKHdzUWdsf/ri6o7U7le8/Pyw8j318qFeFBPcwVRIa1D5okYcoyIzY+CtVKzPZ0otgN1z5YIFVfZj7KnqiwAmcrG/4HlRm4PVBvDvPbviGv69RBjHr/r35P2SDLOr+jBDGWW3wcpk3lfmikuksgkr2nNISlRTDrEiCeLyTt6D+7Mb7838lyQXSoUH4rIb0yXRVYirEI+znKo9TCCeaoFvJUPTa1Cho97DQHhmJyojFVZF8rGkWtgYr2YFZu2nAvmE2GOC5i0PldpXv2WG1xNJaGxIcMowE/2u3QSEkQBCvqAmwodR85hHQ+j3biW+26+2o+x8UoonQP75jSz/zCHKR3CEfAYrmXwxJujfo4GgYSNR/ReD8pket1ye5qvNHJ+PjEKoottR7haHlqOCKdGAq9DrNaPYdkvSko7gXPH2aR66sKZnfepcg21WLza+nxJUG6D/brlMQlvMS7SlrMtjAMwV6PQAyR/MvC9ly4TQ/BTbJBnWVY04qK8wlAqMihCgaFZVPrIjHvmM27F9Vmdzj7VGIBcT5kvJm93yRg8iyaooTzL81EdV7wjNfz5S2+oy0/dOJJBBSD4PU/vaLzi1Pey4Gq8dZKvxJVuNmE1s1l+k7PzgLJj1FyH/iV9Y/riDxmpkjUv1nRT9r9LwcbFj1fOHQnOgsTn4Pto0B6LvbSx9cr7a4QAO+0UbTURgspWGrYWGfWrWZFyOWNL4oYYQMaBpvXGV1NmHuEpQLyAJBWx/MsCecIiBgnMFso6hko5KSRxWRC3q9CdZC5tP9m2YVO1FhPP5fP1Ze7OWEkiRYwGvT+Vp0rXhkDtfXB7hlM/IZd5T07OixOVTBSXm0asB4dRmxacUpGYHBXFBQWFVt3YVsjUN8ouz77JkPUL5vgZknLKDEaK/HAlRdkOE6LMCMcs5ELTUBFcj17ECP5SzFvlIuUbeWFgVmwM7VAym+daKro3tiui3qPrDEDx46/tk3gud8tbfLPqRN8x+Qegj+v9NTxFoDmBfxe8L/Pu+coF/3z8K9dkHxHzyZxgGA4TqlqxvqYJ/JKSxWKYHv+uTIqmvNZamfJLyEnA+ViCfQkpO1mAP3iA5CNQ2h+guvX1ToCZEbALZ8F8R5mldvfW9RN8cGtDNom85I0oJKbWpeTPs7SV5B+FF2WOPduV57B1U6/5g0CUud9nbr0CIhUfIhRVUoIQkplU6s0HQ8aEsA08w4j3GiJHxww5mM9FnWw/giGCxFvaIsJjhhk3jMzQjOI2PwxObxkZ9GX1Vxrhu5aNO1d0mVlzBjQXkNGOix1AeZrYWB3qgRvu1SR8/AoEYzA+tv/YTqvHk+F7QMVbpLKuUTwy2xPE9cR75uAtYT34Q9LZ4M1ObsKA+/5bQ/KPI9aDxfVxh/9Wob0bOU7sF5QnMXx3F2k+1VL+P38N2sp7T20Dd6xVNZnoB85Yi+tHzhObNVwFPWkoIDvqslSu1fRdhhtAFIJ/0bCq8JghrJ4QgDKXo5VCuz9r8PN25hQrNs4QKofT86kUGpVlXGXOYzecQpi+uO3Cx3ZtpKi3wDE1k/o3tONrrfJZQc06NdNWHlk3gUXolVN/LVuK7K1n1O/Sv27iPS76FL6ClSYtElTE+YvN5evPTgjwXasFoqj/VE9dxtwnWI7mIlw9eCJUHSNL+fUFfJ+dDKbUpBc4HnaPc8kVgRb6BvfzgAwC52eqZ3xCDT3/JKZdK8qHqzlRe/Wo38SOi/0uY0RWzGM/oAhZo8F4cVSlyJbsxfXYP4sCTmYPKonpbJuQMtD/1d9H3KVZqz/geIBLvQ2PEAd0HnwV6kFKgvghfhS8CYZCJv8S3r6xG/kgda7zKS8MNDZ3qqHbX+3NTi/58vye8P/9g/WFQEeoD9k7tspuRI5hj38GMyUdneBw1Ym6Vzp/dw75ftZd///muWgnfiuq7u/T5sIR//7YW3z+4m39fhjL4Vfo8dUR9ExpxJ5flE4UQB9ekFKTLfe2AsbIZE+98TMcjai/2vaxbzN8q2218i9LPsm9lLdRWNbN9jbljIVf7ijIonYGl4Bv5IWkBPsTgInuGPWK66MddUr3HjG8edj7EZR4Ak5wTCbCxgJuKJoGgDgq45bqUPcDWe+Tj+Si3Ai8SfW8g+kZP8kFkSGMlRxHQ1Eq1eI/OAUzvlXWf98I4cd5SnO+CdMcR8Y2Cup1STgk2rvfL+TfG1/faqctLVpSXnllDE/gfWJp0x4mpcvVq1n9JLgZuAflIlL/WIFZTs3cyprkDSmA3oAR2YL66Z0dYe9ew9h6H9qpRdEoXfk/ZU/2JwU/QXBFB53SmWNCeD6Kl7jD5B8J8jpb8taIvEiEUSqPPW3CWpMMTCLrOthHE4yaBHBaMRWarD0pD/aXAEnQDA1ESXXBSYY6lwEMC8kuSJ7A0ifOtGelyuQsIVxzQrc7E+4+XlHx8O15yzMcGxNzP2YeS2gCCSakNxo6XIqN6MmkUtvLu4YG+d8KS3AJSqSf5rOrYzaalh+h7HxdQKHM79onej4gte8lS/QvN+w/bCe4yDyEHnITsUR8UxfqjJTYVuRoJ2c4Mpg/xlozmcCR5Z9jHWkC4Vlz2sVI544ELqAB7H3gToUSStyOXm6D23oWQXI6SyJvj3XIbEljGS/KDFu0m5A+wa7nPh/gpGHwPNjT4ALDGixKSaAz7nGVtLB7HOdGL+D0dOcpXibCvnmzvnHKy+kZev0wX0VPWeuSgFBgtgLgpqH4YLdSedo1HPuuST8FGlZJ3qyN30ExlrcseACTcIhjDs7HhyUmhyUEb9aXTo0VA1+Hz5To8Qf8HUv+B04hLOemWN3kCkyI8gU/6J7C30Wx0gbmou7JUZxl6kKg7pMKjUW5lIHDnggQQYVNPs/6JvtHNuLmigIuFbHF1pr0zjAMHgcVwJDg+eokT/QBMgluJs+PIh8tjjtfgNLghQfPXjczpKR7HqWn/AcjO8q9GVotoZXVOylo2ezB36n2/IviXCtoxpNYwQ7598GAagvXOqAhLesB+K0C9EmUbLveoqt7Ygp/xAks0D8HkQRSIj0jew1WAZRKjcIFn2lJq1UdgjOTHlveqLg+vwL7ATohTV0MXYJrjcF8kqFOwQyQC+mtnTpC8zcBtzbAQbku8PvMlKTAU+lt/zbNPog4pMMqeWHrm9FoYkbeqytjvpeczI0oOvtS1IOtxyVsIcmBRouSoyFIlR1nmI6X1z2XPiEq0ZA6UvAUC7PEZNWtpA4TkD540xpdSUL0Bhwx9uPZa0T8dJndtSkGovCRXQKvVS/DPD4B/vMGoWR1YI2y/5JwYrdMvSV5k70+E8Jwkf21PRS+KJo+8zC4JxnTNoDl4MZYTPMC4ardtwWDgPxcjEVcXS8qQBHE1SFbWLyMiLIgqlHwymwXmMwB0LE0knFIsIP5ZZc8QaCknQ2lXIP1iMNYtF4AADe0kSnJbb5M10+mSK0g5Mt6jo53Cqsj5pkUO0yfN6JzoVvpI8sAuMLkgchVlVUP7vSMQdxV4kL7VoQIpibzHY1FxBX2MlQIue58MRIQ91LzGYPCvf0FfmFozRnAR8x5YZUe64on02JM8wgVJiRxeHlVBpDQRJmI1WQN5IfVq3BYACX2kwDLKAXH9hc2ACpRI1KHYATgUa7tm4Aa2QJ89ik0dA21A73CO0NHvppQtCJJ91kSQvoSqsjmjNaweqz65mdHv7Qq2R6UT1e3bUCcczDwQVt0CRQGvJMpF3oOzGP4KDBYGCuIr75MkyRqu/hThSU8BBmQwoTCA8CgcHHJKEG6KPUB4EhDVxgL9iAbESssLmCRS/W4rYNXVOGeAc1Ej51GobLnouwfAVF98qBOhNZIUAPAoLt/W0xIM9UZMK9IQqPV0IJfMJY8HeXlvMLIlPOcb8Byw9rREEFjnMbBG8vi1fT4H7E/sCwkIl9mXGAAuAZZT39rSAshL1L4wd4GsZuQwlCj7ZaH60wgG1UupwSh7IKspZct4jxLHUVb0eQvxNOXDA1/HJli4EBMGv67OMEdRXQl4gVxKjnVZx6XyqDoLV7wlqfWVpDnxZ8NHYNV7k5JhNfqTqe9hz6FQH3XIJrKxJSEEYPqBrZTuzVL9tmK5VXakOerEzSa4pZwJ8DoFCiywkxgKwEvZazbiQqRZAGyhlR4Au+kXgNYigHPwfW8zIcwkuVgdXKl3ZSJ0xb9H9Nl4f9Ub4RX2axk1T8Cpw7z6yEa22DiD2me4uZmc4N3I+GLf7bRmp9ag9UB9tJK+11vdtim0b6pN+nL1Xl7P/xL7eg/4sLxPXbaZ7ZD9Lfqh7vklbJNEC8YmuZbA/2v7YoE6xdrXu8r4FIVDmsKAzKNwEFM4iOWUYDnkA0kupjFIgTHoGs3aVeduMpE4t1w6XPE5Ygk3Q5/SkRG0EMWnWulyDWyt3mkpQGXcySox78fUL35hVDsPZVvRh6c+gDf1OM5P3aQVN/N9QzrAsO0aUWlofAtokybzTbpU36S9cJMa+5N1WB8/7tOmZly68Hy+Xw82X7Li6r82XFpcWwYF54fZFxpWW8guIAXi7/wOObsjsMeXWhm0zseG8n5BqQ9L8Iw5m2iD5O0iUHlcBfaH1iOllki7JD9a5ZGPyYC8nqpRX4DaIDcFI7HsUXU9JWHm1Rx4SgcBa95sqFracBqIR1a9h2QOcfUitsBoTXH+jGtZ2jzLZY+lv33obwb9neIDwEfECQSY+N57aZot1b1bp19ub4lArbrF1T3sWPkdNN+5Rgs2YJXROgA9Z0LemV9w/qAoyCZymTN7oP1m0fc1Lue4FkYa0+MgHOdzgAYLS4oa6n6VCrU27nZxG5HfcJS9dIB/NTPJ0Jdc6J05JPtCe9E3GMChZe+yYB7Prs5mhA3XU1JgahWYceWpGo+SVb9WlzOhzW0r6VQL6ZFD4wUMIdC4OAsyA/jOrvrI5DJH8azXtV7waWRgXjM3v5ZEp+IW/B7peu+EMT4IgIKC5fnVj6AQNOoBSb6A8iWAnnrjemRnS4i1fYQow3713DpgMmdEBh8V/RKtbJWUvFMaFCR/N9z6g3AcovdegfkmXoCG0FH49kjmo/hAJHPnfRJ/Ad1siGTutI9E4CDH2IUyV1QsfUleh3ytKuiNo+jPG3+WNz40kjW+iDf+M298D2/8d9741RGMJsSW+aJiSSaNXqvLO6IPXemVYUnY4H8E8nQeQ6Yzwou3Y8HQvMPWwQbKOdNYrL6+Ht/PpVwJqR6KQ46KzG7Z/S1Zcd4B12WKKOIcp8+r/8HSIGDDFx9B+fpRQ7/NMj0k86RsYS+1Lut1eVcukgKeuFhJ2F3a/MzgbNgzzmx8WoxPi/GpAJ8K8KkqkBHERFVOI7Y99R55c0qt90C2fNZ7Civ16Ax/RnVOhL+ezqnw19V5LJQfE4fbclQcbktPHG3LuCmOjVORMdb+zvUZ2I+5cTTY/0tX7v1zXVlEX4CHBXF92MPcuAz24ItDBw/o1irs1o06niaeVWOaDiDHWF2th9nT5jG9i7i8cx5wV0siRN+bTejtJf7o6dw8QfbEddT8qDQUl4+yC3msJpb6xVxqblxHRLo/NRnyb8gujss6osKAJv/3UEhL0PsFQ4qUC4H0R2fAAnZI1dHfM0MSdRz4DE7fLJzIZ3D6ZsFEwsjwkBr0m+oXGbVcnatoXWqwyC8XQ/av0kYq10jlGqFcDTxHxWlfXGTrJimdifuE9VM8netBII2zaXMvGuMpKZz5jMsuYFcXRDNZg/XWZ2dLwTrss7P1aL3Pb0N7Smf2GfjKRfhItHYjZOqtF5kbZGPxxeGxJaz9CBV8gRds1Avqg/HFkS65H5RyA/kF0ZstljGiuXHIOGlxqEfGAsZ76srcOGRRtNoLbD4IzQUGPfO9gAaKDPViOTEDmQ9n90/Juj97umDJ8qxAxnF1rsWJ3g9jvidd5KgKBAt/wfPXhb19hL29g78V8xYxdUyGXPkIs18GBl0PZdQF/Du34nduou/YV7RhGsU19xABV2vK+DdWh/D1iojwMhv0Mu+or5Yg59ZF9HuCxDyECn1epncnBbVnk4MmeGl4xmpbJTD4lfJvGU3/GPtU2oBQpDaUstrTu1MhWNZotR98C+Y2ms7c4riwncqVvB1kLLEV3kA+b+D5NdoZMopOCLM/J0jKoF8i0KchmHmr0u8gPk6qtYxdLEg5ZZaMWAv1Xyq3fhLBzuPB41r9URn0Mqsq+sYiw2r9OIKO4vkKLOxkXSyq+mwpezh8KwM/kAK93yNxMTjdqm4oQSJszYpg/irRysAkyl92mfxFLP/Blvk+ln9eaJE/meX/2jJ/FOZ7i4UBV53FV8qgYvgRcx8lZc8Y1KRB19X3izA5aAcWKbcuEiJ0mp0Zq+YW0aT8KBgzUSFE8HcT2LsfQu8+Md4NZ+9eCb1LhUf1dvap3uxTyfyt2oOVviJU+iajJQt7F8/fKYM6nxVwVkX12WJ0R7JAEnkOZVCE/uJRenH6jP7iyBn+wkUvtvAX6Ar0LeySfcX03A2ft7Dn678VyLCnFRUjKDF9OFpPfn/wAdrKXbFAzgkVBDT1lhK2yyTYZaKvjJjgflFYQC5XncXI9Wb1huXZeFKwrEDnZe74M+jIN4Kl3HqvhXn4SSCpRQIQV7cvt97JIySUWZPwyaMM6ga/5dbuPN97QRDnXQlfCgxpdgcm223pgcklsdVxOp3wlto8jpOMxwWOz7KiA7PnK/BFj1ynVhdQr3YAIXqoQ5m1OChYhHLrz/hDp3Uyr3MHhnYw5Knsxt6iD/XN4vIMAblS35as6nRYHhuqBB8rwEn2BdG40ywVHotQo3EWZevjlMXYno/wDCpIqVJgegcJ5JcqOlYJklMG6dVrw/Yr536WUSl19ZpgcIgc9aOksGrZ9/TOHOT2lgmuAf06widgdi40C5apa7Uojiewi17rGcgUxOWxeGzmLkRJw3X9hOQtF3gDvzRTAyuacblY+1Oz9fnz42F8JeYLeOlfK/q+iORK5uZY7F78JzCbqxM5o1ZAej/11QJdpipgi2z/N4DVykKE+xgPNKRY/0rf8tj7SNjofFhFh/V+yMu0IUV/0srU3H2kwCI7GRM4+6dYY7BieTYucTDM30a5uc1pwVLdyZCvq1eH+UWRv9ecAu7vlVWp3LzxVFj5la2Uf9hc/qPw8kor5W80lR/0bJMAXNJJWFh/MOsBLTeK+QGW5853cQdWJf7pJhyOL8KSkaiPsDtmIQYbrPROAilPno4H0WCl3N7SKFita+C96O1LimLrDS0LPxlB+fsutshXWH7HluUPsfxTLcu/jtLBpFJLwkTsZjm+Lo+K4I5x+RdZr7P52WzI+pRn6XE0IOs1vZTTyJqllxpsZE2GrDJfxDtDWPJRvVKoxHCelTfEyLpTz3IZWXbWztu8nXiWfJcn2/AK80NtnLtAJRbyEocv8A+nGSU286y8UNZqnjU/lPUVz1oYyloIWTjK0Mdm85xQfzNZTnYo5x96Q6GskZglAL/1siUNYezl7CFs/Cw/e4UrjbxfP0dDu/JyLCuE8KV90IR4/lQjQ2cGovrPymBwDblYPrmaEFRJI6286MPVZdtMiVkJmdrVwNchvyT6hjQC5sATJOhH+fpKrrd6A75ggv1ePzPY3yf6XqTuWGVoBeGpehf5f+r1ssLrnVtl1HuE1bs2rN71er2nwuutDNV7gNVLDqtXvYLXuyq8njdUL5LVa2gw1/tBr5eHzhakluFYGCoP5ZV3ib5JF6nyZL3ytpSg2hXnQC6m+TzaCWv6qCZyeUkoYt+xgqk30QC+ErGAWrKSeZvhIVt5FzOrBeLXLUH2dnWqhekA7lnJGU1Apqvhlfr0Kvr4rfBxvRDUWg6vJCWvTxqh4famSouxkgMqpRSA4Isk22Ruhvfvv0/s9LGfuKN39S659Cd0gE9LWetkB00nnUROkU4/pARl6yf1SP1LkW2U5FNqDHYIhBlvPao5RPKf/jsWkY+j7nqTFMhmRa0vQq76Ps5DCI2XW9Mh99prExlV/wzql/nsyDy2B+qOBsU+ROIhE/l8S3pgfEmsu7wM6zp/pu4BKzyW7ZpHddrZr/wz5qJn+YnN8XRUwHM2YDl/dzifvYuCOis6snef8XcV/F1TO3jHvGD7vc3ffc3fWbFeO/ZuNn83n7/DU6Erotm7TP4uk79rNLX5OH83mr+bHBNq837+biB/N6lDqM1U/i6RvxvUMdRmCn8Xxd+17WjwFP2u5u/UH9m7R68I1Yvh7zbwdw58x9TB/Ro/Ze+W8neL8V0b9u4Ef7eAvfNfC+88gRfbVHfm9vHAA+1TamGPnNtB1lNgLo6I/hGomZVheRXryFrkyzLtE53eJoChf+M59+I0oEX+B9uzMBsROYdgpZuBpsJ2yihUu8HPKPJb2fqxYJGviqlFeW8b97RZ8zFxXmrn7TzDRT102furU/QyKZRVqp7+lRQS5yFrPlUrUT3bjKyXPmYVbWo5lJN3e1Dl5D0oYt5ob2MUIMgY1Jc9F437zr8lM9rbGEHbyC26yuVdhVqU94DobYCCP0RjQQcW3OJfCwUbIlbwgjuwoE0vuJ8K3hVNZ7ihJORGkAO6JLp+ccvrsHC0XvgJKvw1hh0AburvGCvDKJ2mYdFYvegrVLR/B2x3j7ld6EGFW16PheP0wvUdsfC59qzdazqG2vWIaYVoVu8vOQrF3KFQQnJsnhqNfqQgtvZHZ9J0xzYxtzu8cTtOTG3vdhx3yyc84rBfsdpoj2OXmHsKQNwD9b272qFJoUIZNOR3lFJE36oYFL4KVjAhQecBuYYQ3RTJDdcjL7AvJlNHzA1Q0e0o8ciL7EtoMENLsCNTPLKPFPse7JiPlPBUVVzgs3+ABR0FUJY80qd7HDuxDHPCNuFtuR5/YrHK+9z/YgoOIpbJMI6KqTZAs3VnuDKyP72DbDF3sA3XGV79lMhKSuLQCmkSIDJEpd6g4JZ9ybY0lCkAkt3ysmQk8848X7KLMhm2c4pv+JKH8RcSf/EeOdDMTU7l+e401rOx2GQiT0zERH8sUe5LtoxaLEQxFrMepEQl054hCSqKHykUc2AuzZwk5xEXAck8lkzgSeb3mZdEPAbRGCA12HnJkWehXs2l+REXZKdBMi9vKL4rzw5xu9bR8N2UtXRchXwylOg8JHjTgXQ9vhAoGbenABYZsYx2qLwfiNL9y5monoRWklgcdgkWeWQZHqc/LMp7o1Aktp1loNPAGOOTZ1Cmiel4lry2XHT8wmVPdAeikslngi+qB2QQySOu/pott3eGPdGSlaLNsiKvnq272yQMzVuWaMlYLJCZYcB4AAZyATMquiDPxpx5VyOBXB1HLjiumnzEuPCb5juZ+R9sKnGoMnAxxtLxbYc9KC+zL6Rv4OhOhsl/6srlzB6TwPAnfOtJARUZ0JTomwCIcHCta6KQmHmU//ZtxahiejTXBzaf6mQdh9xe3lLB6Tgt+j62ojcr4Nsc0o20HLYDh+1vR65fsBMFIMouD6yi5Jhht4m5R4gdmgy7goAMeKW7fggG9YQb/bGsUg0g6OvDssuRT8DsaFM2slCy9R+Yff57c2lYeOsQzN4Xll0G2YdB+lPLv0fLGLK1v5xGNF4gLihAS9mConaVkn8P/aYDzLDfWvi1VYr+Z0mmBXr2VCQLvhG7OkhOaKc9iPWlwiMRwMaox79DWgWNH6fX6u7vgkYCAXKdKe2Rj6krqHydUf5LfA+zZoMcEApZ5htYiCJ7uABqr4FeDy6PWsoie1htpiSX1a89jdLf6SjEejfXn0J+7yrHaYT1njfBz2rBZgP2bHig938IiD7DWbVQnlN23YyVzkElt3BSVfCVwF+lWdQXQ2k5qpc6+Qf0AY3qDdLGq6eQxY3+HohA3mkbCSDfUFbc9xhiZS9kdYjqJeZtteHAg+qZpYwFQOsY11esQJ9fWjAch/rK9/TmsP4GWF2SSZ77PlRDIGUCeferfzOVN+cPM7cDuAHyydvgVsxfwPa0Yl17EpBAXBJkHGYZS1kGTOcWeBJzv0Nf63cj+Tm9BzoQYgdWRdoE+Rl1yLI/0JG+CJm3Y+aAOjpzepJJV9qXZ6mMLaWWOWCKWKYrq9iOWdQpv24j5AdrKT+aGmT5+zH/WK1Zn6H2+obpF+JXBEXu/3pMLfuWyR8HMPH8t6h0Ek8S4vO3vYCuEWwe13xrPLOdt/EE7I4vzLm4Z1TMfd2cixvsOOa+FMolX0rrBsx9wpyLe/RpzL3vW9x1gK2tD59ATqlI33WF7Spot8GvxNO0CwttFaLvOjIRDlr0GkkeT/0bZiDnXEhf7gJ8Y8u8gxDSkwLHw4PLfISQIkMYyff0BTrRwBEx1spaR7UyW9aKMGplbdTuhGqMqVyPp3SZrdzEV2ofnzcvH4Fb/1+gk6nnSQ6WlGXETtRa36oWLDVIIRcTKh9lHw0cCndQkZcy8rmUEcqlTIwnEisuX0YsiCTPR2LKyWZq3tKhrAxJ8eX1wSAxXCwgTwGAlMJoBpGBh0Am5zREVWDXucXVwF9Zal0Zgi3LpfjozU+/bNiwQRK/LZQK1evRfQ+QdsLgPN+14RTNfx6+pSU2cmJLJKz6I5MP+5XfIH4rkhZKkwqemDBhQmHjNVJh/XXJlWQqQTt9pegpql7MqrfXA42mO4rTxWE7tatr0ba9Hhi+aSfS5Z1aR0inyweBOxRzVZhTbRdOuFwBjKSYuwYzvsEMdLfG0x4pDI+p274xnuVi2dpuDwBgActD5CWXytam3ZD3NeS1q24HRY5DUpS/JBPboMB8ArfmL4NBVTsKH4k5Y2xdWuNRaMMcg8d6G2w6wx3T9jhSkwqt3fnw/GMa5q/Xyn6HdSjMOYDwBBxFhug7HMmOEQtlAEscuoCBzaASxRR5ARr6mTd085vQkPYAtKL2hZ4p/dX0b0gJf/Et3FB4XMDzJbpj11C1Fbxa/EisVoJtNbLAhpBpvQ0zZ7cYwc3U03VUWAq8aOPrqp7/Eicd+EZt4lkzWqK5kNYh/jvL3G/6a4+cQ4J2hEICpJzUPoEfHB0qOVei7M7HZ4juurSOnPvEMCFdG3qWFp8OaKP33WjNe44xHf219fRBa3cVjVzxBW+ZFMwoByg2mI1bvtRVzMzXfFDGm7Dmo79CVXXtToF55fhbVlXrvmhRLQmrXUvVyvVqIy6pVtCyWlusdhynDjjGPhbR9zxxDuhTZl8ScuHAg1+1qUkgSfWNRLXa+GNMib7lJB8rkxscIEfxJR1cRBs1MNDP3azUki9DKqXXSZMH+/6Tk+RcPVKO+gpdIYjOBeLfeFPvOMBgEvUetVaFCO9LsBXy/T6G5nrG7aL/9xL0/4YmHztJADcKR5ZBRxqf/9B/MrO7fNIt75UCvb9yKgPtgC2i1AiYDdi1Weg4oT7+OcDsYpDLtZKTaMQo0I6cCdGhO79oQYeGHsX5/qIFHRqLuR2+aEGH/oG555e0oEMuzN2/pAUdOnoEctcu0enQpiN/mg75pzcwLON/ByiC9s8Gbh9BIX+0lnCGVGaBQVfNhQ9UfAaD/eEg15Fp358AEoIaCX0XwMZ+6jTHn9r4RjLqaLGnace113ec93M6D6LVnwoGV7TlyqgFTHny8GdcsRIyAPX7iL8bwN+hY7eurHmVv7uG3mUlisuH2PLY7tMWniI6xTehoOWd0tWggX7/4PWOfcoVTviOK8aefJ29W8/fZZxCJ/ebQeK/oLlO4ZhOagNPod6NJiHlFLFgqyycBWMM2DdL2OHu6VcpTNmpbvjMKKcWwLMmVhsZwLbZsNb0JahxBZYKvjuyUt5aXcT2VOrnjHPuoz70mbG7/F+DxEGhjsOkde294zTulv63D3I3riO6IZNFByCv+7FtDDfyfp8zD1uQNduTiF3OVQJqd/Ymgb9BHZENswArVCLnIZP+E7qQSkcGHIXiiEJ/gVMuzWcHLUeoqrSElqkrEGZAbpaeGFx9kIXCjoxCFUo5I9h4lhEQ4P2HBEt2Pmn4M2NB1ia5HNCHf1dbQkJ7gHNaiVyGuvQzZn3twvuGRtfJLE8SR+5ETFBD/oifMxw8BaOWQEfs0JHROk8NU+oqAoQkfsv8QKS6cziaKYQukI1APTNjggvWnLKw7lbxWCzqvz8NoamdHXA6+/3zIFoWakXfcUg7A2lBdFX01rcRZz8o4nxpklxTqEXK66TCg1ZJOBvuGlhy8KV70IiZKDkqs86WHHrJUSQEon5hrybdU1F6YNouW8nBf92zHp+i6MnpKBV9uzqiC0rJwefvKSqtfw4+k1wYeD7oDUY8ewNmRs3GWJMXvQciS89M22nDrEJ8isKntZl9hSK5MjBcKG14Omo2NlrhcmgvXe0tioAc12z6ToXT8evMDpSmHlSUnpm6uU1pw8wK5K5Qw0gRA7jqCU22tEqNn+AUMSUUzdNdVpyG8XYPIKNhgRk304zu5DMqLnDZ7wX8YfDDSs9rtwiW6iv083EdPmLywZV8Uy+jqigX5HzEhIS9aDVMczRnFafJp2EBBGx/CQ93LykxZ2DTpE8Koi4KurWUcShjMQI3lFvGY+EjvIy28OXO5wY/yBtvYeUW6yp8n32ubg6E5wL9WV5kr6B+VWf/RNY40T+NiM9Picx2Na0d0y+RrdjBtFBi7m2kxokZAV2E+VtMlojawDABZne6XKaw7roCUf3X4KmzCZc5dGF6lGverrvgGbcufdJaHPBwJardCGVuO5xrV3KFo1701LtEz1mUsh1lWZvd48rkMfaJLuVrmgmPfAEXNsMzqQprV98zX7G+Btt+BR/6eBa+SndrWGXHEJYwqfij/utjwqSvJJNAEvPCfsECn792uLLgWjpalVzpcaji3GH0Ov4ReJ29gqYqyyN5V9A0Zc5PKai+fkJLp/zweCXXQk1x+QIyaWK00b8gy2Ul/x7Hzqx96ASOS4FOx9gvyctQswVDYeiKKI6t3ycQ2iP6ym0sl9yXp3/A7Hr7YFEW0HKD8ILQWCN5o+207tgwRkBRrnpuE0BrZ8N/Qn3kA3P8FY98FGjMjg/0+CuBx3emFDyim6QeLZ7vUgalYAvxOrx3/4Db5X5qNgjZMvtYhnrVfy9mLe3U3sHzzilrWXiZCMLU+52E4YAsT1QYNneuFDigTuAGa1ws8mtauVGwTHDJc+1PC5Q7UWD6YHwL+Qvs44nUlMPzIvtkTnYmqnM/ZK7df4NP1vqosiD6PyDVavyc34w1BbkU/d75uor+YDsqj93oJvo8GB5xhj1VEOd90ZYOcN0LxOH9towf6Q+THwdNuQur2hAGuY72DggcSlyeJAMYFYm58zvScYLxqBMY2860zDy+CKwcW+pllA1rS+Rt8gfcOf/J9lj0OxqYj++8k7AXxqN/dRISX4UhAo98EL7j8SQfHx7om6R2eJ81MM+H2nyhNN1xZOo2BespUA8xBkXCxKCP6J9iGBZ/uo70KjoIkoFRXf0Bw5X55MlTD0NxkUqMA+LpRUh4H99JpNUENbigqo55YBeqFI+mCDVZZcgy/IXY9Jj6PQJX4ztY+WlPO39WI4m8Zo7jNgSgZmasgueI+3/IrLfU7Ffoz+JYxOonumQ1TTi1ud4plOYvni1YgBS5xJGqM6d5VvFaYWahwhtVYl6kjzMMKVkJFcsMLWudMAYll9pR3nDZgigfiN9WSACPmKtFgZCuxi7iR3lFX3crRn7oIPo6YZR1+Tc8gTnxf9npy97nO/2LtqadPu9dOmwyHfq7HsTnt511TdK4Is8klbAJ9LeCnRaq7hHCPzEfQkkDySObClguGbBcMsdysJCRM59QrH9ZLzDudjWLxX/MhEB1nDnofdxOM79QruoFpas7zFe7v8vwx5scf9QC/vhxkY4/lJjrQ1/PnD1hPkzBXNat3bsEGhhNuMK6Lu92BaYJOQdJtVZ40CbJq65APxUAoCvyuL+KC/Lmw7O86IoF+LPbVLzc1173YfFE3rwEvuBWHgSQ2Sx5iwSKhACLsSiAHqtu+UFEAaN2oXnzNoYpa9xePzqaCE7lDfQJIfnjN+aK04sKLr0cWk1cB9MRO2G+2uEdjg8LGjk+ZDjV+w73b9A+b2TghA5ztDPfPR8MDgl4bmZGKWlQMHiNRZzjh1zAlwK5JMRaLOck8eeKOhhJfUTJwTN1W2BUZHcB6XS95NgsiUPoHSQ3o0swgWX6ecaGj2W4kaHEbu8ZGy+qiVtc78oj/cvMRfiqBIMffArMN+CkCoGtDh5LYlqLSB+dWYKpccFHvwVZIOYekNGlAbBxRe9P6HWsb1rR9yUk+catHvXnmmPtjIOKf7x5xVfuoTKw/99jcshE9e5FfDz/nEPj+eZdLu/49D1X3VGdtJCv0HLYm/o5HlghQV8hFtNqurr0baZimU7arrsxIpsvbmwEk8e6zBHInKAs4meerya/zekx4vLUmIHtMqMGJmbFisuHCejRNzAx83fIq+GCgHoDdAEjUYk+jBWi2ULnyYGf6BzmH6zEHNhO/IOg8w8Y1pPxD25HedY+bWUdHWdam7KF+H8Y9o/U8X7Z2xmn7++CgQbLGd9r48xjfxITa/ENQAuhIyV+NtRQeuRWdw3xBwPe4rNVfzEMnn94S4fn/fBCjXtLx30LihDxgTC/zrclq4u36rS3PhpqA9Cvib0RGnz5XXI47ACf0rIJxjEaut71izAz2nV1qNEab+/jUm4uLgvnV756syV/jX1HMHAu5Pw1UrY+Wo96OsA4HifgNLIjwDPmkazPQuxAjXtwxck15ul6VHgxFA8r7oFO1QIpxELvsIGKcoHAOGIqs4y1tQVJrTpnISfSGICy9SLjF9J5w/ERXMrIW0eH7Q40MIK6mJF8hhrj12wTDN5brncBf92TobgqwIhzyXNPV2y75GURiA0xHzGkvCqCsGJ9qEa5Lzbk2Gd9Hdr2CFV4hNmMFuVVedmEJGJdsk/vx51YVo7gyFHyZhNyVLIJN3KSQDL/LCHUI0ngQoMSc+M2xP3MGc63gVjCZVRGm3OOTRRSNaaxQGckhannU2o9zDHLY++jdniTRQrow2VcLIS1CGA87ZLxXZJaCqVcQBnHp5GeppbI5HgKqD25GU9uRoq+t2svXWPOZsFSq9+/wVaI9sVf8PxhQXVb9P/bGs6+Hz2vbz+Pox6238Df6bCZNu9MS1ju8ybaJeqxpZQteLZfs0KZzCT12OsklXNeoV0k5xV2YqBWtl9896PiZc3rOKrJyKsB+2CwDZyNkOTCcoEiZv5QRwJAxRaBsZ04fdNdSu88wv0RjBfuU91effp1tnm6YliCPrSDEMSpP7Bz9iM3O127DQavDnmdTQeFum6xsbXrLtKgglLkKgF9LkPzcZICUThm2EePCCwiOUp8jW7vKTxodSYXKUyCdQWkIA5zds8Iotz3uJXbpcLGe7wH7/UIQNkqpULVKuU07sf6s5dFkAloLB72G63l44Gk/WrnBTC5XzZw+maMsaP68mscYa2jucJxIo5HCfyaBWyce9xyKaY3vc5ObPo6QzuDy3y9GXJHlRZg+L45aK94k6P3mvo/j96Hvaaj9xVovNlNILAiSr+5gOQbfrXSBNhGT0dQQGIPQfgEFGUiLEyE5XtMsf5cCNIPMJuTmfw6MYILPxEGXe+jfriAiTo0ab44AMta1rYg+tr8jjbJ5woFFnswTa5Lx6AZ4+0JbnmvfKG6rdM70B6V1c1Aqsg+wyyffM2IKxn/FxCs0+XziF0T0mRy/0vUJeK+huTke/ecsXVurAzfOtnnwrYO4WkdmrWoM3iegTYCXi/B4uA8CpuSwm9jHJPRktwsLi/yJJ+SksvIhUNylEnisBqmygtMEEoOvl1XQGclJxUgD1JycD2krfjo27KCeSm5ijxCJXDepEkR58jkbtQkdQPeawt6jwkEfAhvAJTu5Jp0R8XURzHMyr3PPuRl4CtwMJZz0HuHwFJX0QDWQ/mYZAaXLON7FFqX8bOq5nLtsNxxZAYJrqvoqYh2wnGrNAiX8dlV8ij7WO3ZIDYG8PsqzMYTiNwiCXP0wXjZOGE30kN05jWSvIsjjPEYH8ckdFBYLkaBbbh1fj8TwsCFx9twJMwFjZLBDXUnpUD0Zm1iY/j5am8wIkx/63yYKWRJd/tgyklS3+acmIgxdZjq9oVXw4IjAOepPkFZ8VUYqnHcTmA4PfxIEgYPjVR6vwM4Cc/j+AsyOyoxa38h84x/GAL7pK0k6ijW9ZCbsscTGBjrFJe/gjTGHfgWCRPG08vO5+LObtxR5v67la5AQxxbp94BHXgYO6C8RupAb2MwMxrewjsRqCKi5PGiD901zs33FgjszbR1krwTOKuroSIRWKeyYA7STadcycUQeYczp4rR3mO20oZnfHcjuSalZmnDtrUlBxpmVmTPsHeAnYJMsDOQMVgSV6j3oA8QE3miurjlD0JyhlOZg97oSGYPMhJeCaRUw7A4zLaYUzLx0jhVNd40C3S6reQoFnN5hMslUA+VvcT/ELKhA2oZeGYtY7ASlTQBoG0MQzwuHkppAhrdFSuCB7pVqgPnE6lJ34BKcD7J79KJc/tDQtYVNd6nLIL2Vig+HpRNgbJDFXsSi/dbPZeRoF+N+LUSgrZvHidB1atIowf1zqzn9a4g/++5HK1fCOmZMu0ZWDcpwNG6th/esS6MIgLOMpxeAgyBmYc2NNMI9kBK1lzyQcD0d05FOOgPJPtR6Ib2VhMewGyYWehGL8hU4ltc9mi6mA73ahL6MPbhYWLP4SG7REkuLW3Y7rH3d8snKeyYWz6RnvyL21HqEYep6cknqjvxuBTVCmeUsyZ75AN0IDrTPtYl16kpr3D+NfNhAOkfyXUQjxkD6lF7sndZz3vkI6giSfIocyMRsNwObaqCXiiQGc2Cw8oVdDsRekwlaoua2LkjQBOZZSjM9EHPcxi4UZ45RwLkhWoBj9WFmEzHOhAri7SHm5gg1MeN52KJEu9zJxeGNxPWwr0BV7SgN1P9I/RJ69RE+B3jK9XFXWL4ccvnnaPwABsz/SwORRC6K0Cq3BNcoe2WS7wXIkT/RSaWl6zFpVvIPDfymY8G109xN0gQPyspuTCBHDlW2T+j42L5afR2DKLIhRZ6NcN+O+RLvFYNq0UulYDCbQLLZtq6hf15jduwiURx+ULmG5qNy+bbk7eINOF5PjudTXujWPI2COLsv14JhP0eumIIxXnWaPI6ZNomshJLbwDWFkvg+7XJm6RA1F0U5IBE0vxQXY99enIFCcwyxk3mbgZphUx0taKZqVCNlKyoTJB6WixVMHOlOC8RHCgpNic9D1ZRJK9kkklmV9+ezM7pgclWZFFTtnhkVao7507+taVmkDSCHvmU+oVCllPmWe1txoMGEbpDWC3uz51zmT0OtRBr2Blfnz0Rz889JgMSiyTb0YW6BUynm7+p7oFDn75bkijVHZQmzaVaqYNFwKfHo2A2ruDowVhk8qoNLMxmQhBT5wXy6EROebYh+MDC1RPrlW2ceyrPNo4dQb0+PHgRrbq8kJ3osQ4qZwewYrIHOcrZnQQwlwoDRySfWLyuslC9RmYqS9J6vAolfcAzyswB4OKz/DgICzmCA/LwX/ViHmooTOflVrGm5d0euVkdkccFy/MU+rdY9N2BqiuhvHqHW3lJJ6lq15eJVTxBwUcvIrO0gObXLdd7OPlPB0YGTywt4jrinSlrewJmQKZyiCWDnLaL8bQb+10MY3sdPZ3cgSECaj/yXrqeTQ9NuuzFeS3zIl9H1iscCurBUE8G8rqSELKHXZjN8H23MNsAsJZT5zB095sHOdE6tUhmNv3Hd5rtDerK2YZStYokuQ5Z/fj861aeMQKziRlWntHMRIA/qgLNap81M2YHtxuZgcuYRQ8tZQnc0uDhqlep8ECbMFOZoxAx/xTAhIUpa0PGYMbHx+oH6+B7Fq7cWsJVLOzgC3KjXPeiF5zPVZ64RqSL0V/oDvWpFrOJD3776t9LFXQt6Cfcyf4TAmw97Br+JvHfCmaeg0V5v8RErsu5DElhuRyLqLj4eoGPTYXo/zyCMYI1PEJRNoVdmYPH5rCPqDhKU96iZMA1oI20uVrarKb5twBrXYzRBLiBNU35gJcRoYwGZbBRiQ7X7gFMVYH+8gnUh1WsD68VeWsEW5HoE6EHZS57CoobbiRXHntC3gL7p3zPsY7P1Tvenq2lXCj6swGXZLNYasBf1cSwaWbh6NhHJF3jn1yPHaUxopr9tc5sMnA9Re8TfVlJwomOnWKu3Jl9mhZIrtfBxyATvXxcJOe6DzOUcCyB7dGCB+K6oZChLzfwc0W4Osy87O9gp7wTRaYVO9/e8Ht3Zq95m2Xe1AG52Si7x6FO64p8RHIRaZVpcopE75dkhIr5GBpSmJwCQg8OiPFBK4RsticKyBW+ErtXRYCkYuhFhhyc8oJhiB3c8txyxA5ueVE5YgePg0V3E3NnXBNCmy48a0ArKiwyJlvimwLTTu8Z6AXbNGj8FF8rcLYrNG82Ctuc0MxUPgkIxNgwyKrYVCwH2PkU+6ZnE/qqnXMp+kaAPerhH8IAWmRpUZiTBOpnMBbOhPnGykEJWt1e/Dg0TA7Z4EX/gLYsmceSj7VtBeq8f6c7zq7+Hjm9tZK8nrSIKZ3YVaWutqExS4GMRDf6TkbdRN4T0+cSSyDJZ0rPZw6uAnmhtGlHAdaaT6d/Cs65xPwCN55TmYEOG4EXqryakNk5ZQuLX1cEQu70cxWOzVm/nxNXFaRsQecGgYA5yTTVBkRGcjQjLGPzJ/Dx6vOpbwJ9XnOPWtnwC9jw7+uAbM0Ctq58GrxnBWMmXiuwFcHe3Ek7bjhwL1A1gVlZMXyKsRv9r4fQrR77rJJ/mEAwdxIte4tlzlVuYoPKYyZHmzj77c7MXMqGuYAN06tiML5IRvfMn5E3S734vkVu/rVr2JEYxCXazbHhZQ0Y8B3sZEIVBloIJpsRig7jc9k4kneG5rJC9Np6sAZr2OjfvPl/mEbkMYxp9P2VBfvl8UrqnwNcjMeyUXsj6Z/EuGvkZ8K9MjA+XAKPP0cbQc5EmSETj0jNDe+/XIFdd6z/ialHhhR6kqvpEI5OoTwBeyQ+1xDbbMlz2aOqbzfOr6AMc9aDV8wE1WdyDW8jeT/sAbV5JhfaxhKasHZZbWC1zFJscydtUgayafJF5FZYtxdwVKuzeS421nqeSAoNXCUiUaYDmg5B4oIiHYggB9kFIBXXFjnlzYDu5T6xDNf45t3AlhSXcIWTGixH2ooLj6H5p0vKVWN/xpAbBRF4sG0pZ80Lkotkpq3OXsmxdA+7xbAgu8TVq/g+9/F4mBxsHOXTxuHqJPF4f/2JWC8yVgsLkbDI7T+B6YLHcZowvEtuRr9wKblRTZvF5MEqjErZn1dlTfKmYOwMQ/8rgVG/pWamI7lczDvdFYudFgNH8UGow0nHaSAhg3gpro93B4YHccxbkiux+VTyE2q4KIlDazzyu8hEI6CTQUn0JfXE8VSmbEG0nqRzR3W1kn6oivM/4momG8ncrc2IG8o2BNTXMbS8UwJJB534OBaQa8gbl9tZ0CHOsVH0no03HU4U0yrRrJXAJ5dcnRS2qmkpwepBoflFPqBIYchRPfUS1/b6r2BTjxOGjbgxLIejXPT+dkUIx7oDcW3xub9OchfFE5T3WWmi3VN+Z9ZevvhT5xlrIDfru9Yt7/Ak11KQD1ryHm1C/jUrX+Rb6GX8srwL4MAjk1glzNLtXXIjBSDhTCzDIbHxpD5wB6LaIJdCGxlPPbGeaO3pwJiB5ft1bIUn9P5w0yX4sZLhx3XXsfOOn5pIaR7bzgYK1zlhR7HoLbUzDMn0tSHq6vuonk0PO94Zd56EBPSXGds+BK4c1Z1DosZ4ppgNPwmE9AgHBDJsOjghq56UlnIStxbjgzPtsW55U7q8HXBaFLBPfF1uvim0Kd2OkmkjEAwy7VEeDEp+ENCseuBFDgzqNWaG4I2idP/JVPGNstTEs6L/yJUWiumCPJNbLnF7y2xux29T38J9yb5/CnWxEgjSnKWmG1iQW0nSRtab9WQNwJcp2cSpKSy+mOTtD1PkQruVwXCtZLEhdbhTSDE4gu8cGw0GNgOuSzbziIEW3rIYrKLofZlmidhFVO8M24zaLMnt2D5tGhBLFrYgEC9NRAO6J/mMLrHieV+SWIe/QO4DejwpJq9SeO996vvPc3kV70dwJ5dlWiWhuHoPQ98KF7JlmKgy434cdFhUn32JdHJ1P4Y2jq/TeTQCL+NztoAgNV2uDvF7nNExcY+cB2S8H/J8eDUq07tRfHF5s1uZg8FJEEaJUQ70jZSSd0mO7ZI4uFD77nfTesylCXc7ou2id3EzM9OOZQfVuv6oy7gWtft0vj9ntPR/Axl33nQel0J7rFmPPweD+BbFZ+5FYlrHrH9Anz08krZ2JYUKU1c+Z8i/85n8K/q/xtg//4MMPAeWTLuf3ccUGsV9y3EUGCczLP7tc3w8eMdHy/Gsfk4fz4PosvBGgeQYY48FwS2xUvQvb8tlqaeSETe6rrLo2CZ7hj0KVvSTq9i8MobkmI6raH8g/SLeSJ7L6RgwLDqGAWLgIGXrKkIH4utF1xbp9J5jedF/fTfk7w12zMElm9z2v7fGVvZNDCkBaM5CbKsFKmgyQl9yIcZbR+7dO/J33ISbRO9EDJy3nCGb6o7zKV6To0H0fXmjxXJX26zTEnDrWZoUGCZgkA8Go9qE33U4ZKaTS3rpzWdX0fvJf5YTHbRl++k4fGBopORw2RPE3ItofXYwCRvmAWb2NmB1CnwgNR84zw6+JFoynxLnbT3PEPxChgIeuJGhDbMaTt2f9X9Qv/Vioi366SSKuc+cp50bs8wkwiZ35yjKesMyEyX8FqT6+SH5dXdESH6N4whpwALalqI3i4Ho0R9CKJHNFIUJAE4emI9CuWhCzjpLtjSATaaYVgTNICLOOcilV9/DKL3iHqsiMuvbgVKszsyytFma3YButV4X7BrUaY/Gx7FCNtMYW7IGDA9E0fldMuUCgPalC7oGF6GLyYekQCjOZ1z04GKKQgEsp7i8AJ76hk/8hMz/MvGcSTckas+kBcZKkBQNq+EWtujiA1n9mTQNvBeyS4PyOlPwiTbI42Xax4reD9tYjJGH6Se4IkLLrAkGYf9Y//V963To+WYzHfqYk/gQEXK0JEKLw4jQa2Yi5L+UCDGXNaRDT5roUMHfW9AhD59ItWgaak7N+tJa9eppnP4Q/CQXZ1rdQhnSHw6zgAYYCYokEuTS6U/tswTFz31noj/3N4XoTyt0J4zW6PKK9uw5fk7pT9Eboeky9OY/4fTm86UhevPVvzh+frUVenP1VB0/T/sT9CZzkOkbQ5aG622H/OsyetsV/zL0tpxSnW8KnQ9WO/zLoFdjdXo143+kVzumoRMYVwfoSgISP73PnYCmmIiDpOabGJM/DF+ZvLmE1s2MK3CeXL2FvHAB3QgADaHza0tFAlchtNQb/Is81UIKLa5NjOQMKTQk7wbBzBOIbgtIwSMOWU/UYsG1gNbXiv6516K66PQHgoW8pnecRNjigjiHMWQ5v8lES4n14W8xcoAupy/jNgn2aSU1uq7yiyiMWreAkIv1bWhV859kyH+iIM7u0MVi+YksRQUotrnsE1O2oLUOr1uRUaSFctOB0H1zBKZ58xHGgHOirGs0w4iztPlrdmZG2KnTaaLPBn03VK53dTQx/sg7n0EPVYePK1DeSDQpTBxMLyrmbuoQwtEhzeoqvg6+MA9hk8LerPKqbAWp1dAMaDOOm8/vuzgcwo6moBHF+oCQ2Ob1qUGHKy794x1809PRhLLAEJ6ZMiKbWYe4TRC1PUtPM2Bl7xW0MWEsHe9Cnm8jUQAgZJ3k2A34bisAieh9Ad8mF3Fcx/AbBlpZwK9V2QwIcA3sFN1ahAqIKlJMsDjbht6Az4T6zdMtcWKz2v5pjhO3duI2pKlx3IYU0mFx+ZTtk0qLWS+4U/QObKcfjTqJzA/bX5rvItAL0y7Tfq8zy5S+xTGXqiPNm1LXTPIvaf+pw4jGH2CIQWBrbgcWYT2XARlFKRO9aPBCGt8LkKuByHT6LPobROa91R/kZCm5QffOl+RNoi+yK9McpeqYVsItUe9x1E3tnLLFXVeL7FoZasNQV1FIBAwjXMFe6SuIPnx0B0YI0mYNROqOCNI2ooMF3bnRL6m9mdpd2Z6dog3EN//VsP6hQmmsZFpMihDQMBkWrcAAdMNdW5d1F/ANwI4588VVb5/Ml/UMLSurLPpm4VIJrGp1sUHAFZsxX/3xBEoURXJilwW5lb52SXRVAHcnS0KBx3FKzP1PZ77iOZ3ZjMtvXYaGeEw0JPgFE8qJkMk7gJy0Vy/883L2vycNOtKI2IbWBOaESMpztXo8VBi+bkIgVUDyWYy8KG/V7wN895+cHk6NbKEfOfAU14+Ivne7oIarphVFiKHgcZSLudefYiYRBpaG7RSvrRUqsAbCffVkuu/GrHPhxTjKNAw90ALW3KnXNH1r2o0mxdG0K00KItG7JcJ0XwgFdX0slvnvLDEx2e/amP4w36TtTZd/83AlklvW58/64RITE36xES+GXGXnATmZRlX0vUFTEUsci89+eZZFUuLvh+a4zUnDPWTYnIBKrqbOBBG5GpPDuqbkIkPJuHeY4Xxi9ei2YM7FexyrQlz8bre3WOfiZd99xMTDzoSKS5mVrZLx8QwTsfRik87zHDr1CyGLX3+zZQQxWrTIMnZyVIfNatPx6HPupYzvVxjn2GB80aXMiYMegsaerKcNAm3Qg43THDoiyLxVn2NgxHDWrkmXVXcy2nc84rBCDyC13Gnm+2EYPzoBNrfmbCZ+3KLNaQ7xVziaehO/KDk6iF68j860Dad/RqxcJ7o/5MUn+P4Y1Yo8f+oJnV+8I2jiF7+2hza7aagPGBzfReOeW9xSO02bQIdx3dZLStM7m9gdPXTx6e1h96uaul34KXVbZPu6eALDG0rLPt/F+/yb9lSQEVcyp7cDwvZONJuY+XpYt8GkNE4gJlXDPnBfyL+gkwT6MsWPfZDkC350SgrJGYSy1UefQIJqxsk1Lc93stUP0Vz17Qmsg3EogNyPyBgLVP/K/b8e1+97LEFfhtv+F754zcRgsDrg4ayQDqQemRgAoqE/k9DS2gbUsi+GeBsPtwcAfn7kcY6fPXJDCHd+OlG35Ez/DTgS/x5EmaK0E2jf1ZJy1YhPBIsZgy41OfVoy44xjjKVy4P96e7dy52PlYtQfcr2uvjjggdwr0MK8YSw2ePYmfWb0ZbM2iLTNGSSv4qxebvxrzJyZyAZ5TsC3lrRt42uFXk7BNlKjmUI46GwdSR2ay+E7aM+FHPyIpGxvuMvQ8a+Gq+TMW4aASZay75Ai2m2dZollJbuAVWWFrwX9yLgvLj20374Rt3ukP8N+eZok/eahxyrUxSXEpuGB5ZuwfhpZtmP6LXDNMCRH+kawPbqA+MuM8B141rKe9FVFAvnVTzecIZufsUzUnocSO29cyGJQmfj8Z7GELfOepmQhhJcr0O61kr0BTG+37xuh9i2Xqj7ZtggI497FpjVKCgx9Rj3R5oUxWNPlCYtCymx6g5yPVYXskZUiLnfHGQ0/7Lrk1wRcvzg2jqulDHJIlzm1MR9oSXx8CO9JEiM9ch9DEVSB2QqI0Tfy5y/ZdA9xt7fAzOZQcEq/khTE4rXU7iP1maFYKYM6OGO9wXGZUvClnSkdnMI9Pd5ksuAjIveCRSoIg5Q5FnRmxkRIiYooWw+RULKWRBStpOQ8gAWSC7yOHaL3iV4TArtcZXIABM99C6oZ5uGQOOWCH5FnaTMZ8SQyU6id1lbE8VFY9kYPBpxF4oM8r6ULdqQ/WwdwpW3V0eaDEqG8nZEp5BASIiyNakxKXyFtGSYK2LmszqAeJEC4ObuwHyr0BNae+QExZsxc8SVACevcY7YW0VzqCGFIE6nDd2B2omkv1+4RxWbQxW9nQi6YA4LaaxfRxjxBLwb9+IcMtXXAj6HK/ayY3g0h3PM/J9pHpmi+G+RIWGZ2p4JdbV1e/A2KtKyz4lsIb3jTbBmoV1hc6R9prIZD3dsWdMxZNnjFj0tDcGMgmiUob8MMbtCreRgJ9xEb/AwDinc4NWKuQvvz6ajlEeiQng3JFVzhkbOM2GsbMZ6ADKrDaFmN95QvAfw1yvvAf6ycAoPOOyVxxgOu1phyvwwVKYKf+OxCABDu+U92p7z6EDUEj/eYcKPt75HHEl79Y7HLoMc//1YS+T4s9aK2ir3BD/zW2UJmUAup+pADQBX6+ruZSYkYAbpD3eFMO2f2QJt9+ARVl4u5OySDOuidfyNWzsPRzKBQl8cJszNaV38A5y9K4xmXnxXJykdVcujnPXcs+tS1nPaozrr+fMuk3/LHyvzLJdR5i3cibGvALV908hiXH7WyDc7yH7w6A4MFUIie2oMuTYg24WurS80kv8yHc3S7q0B2jY/kZ1I9k3DG7sLD0YZFEBhH0QRdMBC7N/UGMmR14d2zvmdtEtiMTLOAa3/TuQ3P2FrEfKeQbfgGmvLLP/uSJM2Ha+R5p6RukBzxEbBnv1X28Kh4afxBDDyOnPMDH6OjEW7UKwvKYKhXeILxY92+Oi0o2IdByV4SA3jDYbQUEc8RtM5rxN1z/rwOyb9+J6IEEJHL6CQFw+Cb6LJFyXMi8fs2nN5bx7t5r0UPnIR4aEwP0CPPcGVx4QO7eiOYFB9+6+GxjniJNc4vyIYXtp/irN+/FEMlXYCOWRucEH9IMdoBiYjtKajszRU+qQ2mLw7AtPMNr+pCA6BOIoYp62uD/PKZt7Y2lN0b6yB4KsImT7f1uSIDkQ397vDITwdcrGU9fDbIWAgw1DIoczZrlBbvJ2FlrLpDsXTCcr3bsK+Rb1BfZvQwPpGM7obrwzm7kmaq8m8Gead1jfDIq7O4OI4boY8fTMsZJthZo15MzzA1aD9uXOo7g+bbwnthJBhhUENDTU2zBnMi3pXzQUsp/rJaGPRd5/gi+6t/d/MDFMegUVfdILZc8307tkddHZyArMH/7N9KHRMZge9u2UW0hJk63GipYAroQ06OXP3Z6NNlz0FIYlI7qyd7H48+Yz27QE260u58EzEY0xlCEw4jLjpWtyoAPk3IP8w5tCl/IOEkf5Gw0jm05uzqFRaB7XaEQc3EFmbzceRM+nFmU20Ww4rIk7majKEVFR/ZCD7XlF4MbS/wGDHMLYCSH8sDFmhu46doJcc9dBIOUUzc1FbuUusXB9+w3kWFoZND2xZd+ChSMmxSRKHbqJIotbzIXaPtSYUoooHJ7DQdJiFq/blQjQdkuTnFH/0kVMy0G68k6UnyooTeCcAEYKcJBQg8yXDGEcWAuma7wpjrw2G28xmc9Y6hfSwC/kFumONYGEYm1zDK5EvMQOGLIQhYyBZBkOex38HcFKstX4BYzrT2FK2OH8yDuG1Gu6o0o8HflcR1OnIe4KLY2yOqykcEuHpz0YzPP1ZAzv0yxxHF3LkxMFVy4P08ED0f9iphs2iN+sco5ZPndOppT9BMwnvOGehgwzm+eKCCrcc3wV4jCI3QYW+6KgwWsztcIAF05wobf6EQ5EOTau4nqxQEodUUHh2spez12gsdzuaRW9UpGEHaIhgK7MezVmFZNpKLoQM7wWBXRYnDq1gMCPsAghFE5d/Laq0Pcl16D4ofgtbrhmQcSovtUVyrJtqk8hNse4MdIx4gbVi3isR7FBxIH7YkBDVhPbL+H0uXElP0TtTH2ypHKq6VFGPGqE5o7iuPi6Sm2DiIkxq+l9aKtG05SfYKujqZIbxF16GB/M/3JYRhNRLbPJNkXr4fDGvpC7MI+T1yBbitFr5AAuSief/CMDwUgCQvxdhxdWGUF14PFKatCokU8M+qztKYrVAOnG2eyrRsxKFz8ewdvJW4lQAJQ2QBs15WbCIc4bW8SNqrLK8WetbF6bPQH6nrpll0Yj6oBrnLS4R7uSgxKZmZTgXL/pdbUK6SPbpFoI04duiWpM969MDZmo34LcWrJ9QVH0NN46H3d9INE70dcDynAweD9FvIodTd4XoNrcgM1q9yEyr/2bWHUQyN32P3AcRH2HIVrHfBEB/iPi4xCH+WICGaECAgAbx4gzEgcU6DtQPFGlP/4amtjg7ISGme4OGFzxsapjp4CbQsZ7N6H1bt4v2TRE0WOGWX2mJVDn0ya3ZYscg4tBFGQOdMAZGa/oFyPmvGQY5X3WRk/Oa/9Fr4EMAX23mxdb5xjBtnJmF/PgXikmvCwP/OMUWgZ32LPQkn0FutN/hECZNl6sIw4cowRjGwJpY3HCvEDOrG6uzukgYpM0hggJcofZtQ4uDkuqgjP/LAUk293RTGA5WMlbH0U30ngxXct47j2Tcjur9I7m0tuHCpdJa6UhdWvuGLo7VmWtEamgU1vDueF19QqoT5vLZX+cypUDfWEmolQawHSvmXkWxY2BDPxxhshrIPgOJ6bgv9Q9xn+/U2bDhzAgIRr+V/mpgEh4qZAhAn5ZfsAa6bL23FeNHa2s3mB1N2dIBOdcF6RYHjNiSpss12subWqwW6iPnjvh/WLDHgD1UrvrlJQHDVBWl6xe6nTetx2i2Hg8a6/HceUPzEzjDzCyG5idPP2BhUv/ovhpZ/Vpq26Y+dekhq1yYG612t8n+pKsNskYack8vrjXVXQYGMBwgehtURvf8YvihHO3shjD9uPb0uvB0zgbGHRJMJDdIjjPTbje0bZvwNPpmzYAZg6c16duauHMPbwKrlaJEIq9jsJBcZOL0DDb6hxqTGm56Uwt/2WtRSmZKKlIKXeu5jFJooYcrhfQuGqotTnZuq0FnIm3IHh7CwRuMmtWm1XjI7Fg8PxSfGmEciu85AhH4S7GmqMedWFaCEWy4WGa0RK1PpzeJxhsGFmpVOts6BATjig00NalADydIht1I699exkP2+ewGInbzkG78kfmhWSXfws/JLzWfvV/FjwLk66fomWpqBp6rye+fxp7HisspnnKqL4jH89ltrnSW3ym+UdrixD4mP2FJKXTiHk/i35PHzyPQQfof4lsctU/kR+15D6lQTXzrp+376IxevrkFzLjMmXtWWp03gYk97Bxx+PF7lGvw+D3xvcMq6Pg944EL9ciNeK3wVXgRUIIU8PSnWwIrpLo6KXkzTl2F+d4/U3jOCiM85zUetqBL9PCcvuviSQ+Cy00oCuMa96crYBnhJFeSnW6OszA4CMNbFeF4C5BWwSUmlNBJfGYGpJP4pU2zfFSWHqq42W4hP5Tv5PkY+pAeEiNaHNPXzTz6AX7jtL6uElXm8nOLefyI/jtz+B2pA656dw5eG/NrDKFi0+kyrGA+pE+3Cn1pYYf0P7LQBu2j23zpsoGhdzLuP1tg4TrxV81wI78fbsp0mZ2tjuIhuHcktvtj0PwruYWS6j3ot3lumG733YB231tdsDfo4kMKiKvzM9MZopzB+Rz1l+HBYPW7dD+t6Qi5Yv1lNl5iizizr64WNR8bn6IfF59vOqqeZwmVlIwLIMJPmrNIdHoNmxB61g+eG54k9Tbmw8VOvZNbCrBKnsASC81ZdjZ3lWOh5E74Q6F20NWmb6SJ6nsbg7DTCz1KQgialiJMuJU2UNpgbl8vcF5bCBLJvK7kWXBOXFDgSqzAg99NbZjz0GjyoHMFHkGerg+XzxEtrwzSZc6HyxnvwPnJiXxQ1dEmfl4ACuJbgKAzqZIFG+r3mB9jQy/rQnfWKf1GQnKk8nUXGrPj/LR/upJP6Wf30sTlX1vxChen4/ys+0YqC7rgQFyOo8RriyN3usSRR9P9WzL7ubiU5YI9TBZRx3Z4V+MUR5zFOHmYBT8k6JvuCwORyv9wEAn9Mk6Y2KjRy/RAG36CekxbNqv5GPlqNb/sLKWg+spLQlU7ajJjeIAjkGN2TDvtVtgC+VEFFfgGQw/VOL2z8VfQ373MgDDDx+IJ6ZZH5yqBrloTdI69tAG2OG4d0nMoUQv1LTUBj1j62MMy+1yGi7JJ8bEjk3TRGBNU3TSM3LKrvCYHpmeuJ23cbKaba9ONuvcUKuOs+VBOG0POyBZH8dSu8q7kQowqL0oDFpQUMK4zklT/zP9OdeZbspH303RvFeZa4C0UDAMIRWRi5BvVL8NYrIxl5SxWxjI6De9UFsRh0MVy3xxLBjZtyZYXwGMixgnrS9GhSmCGZZ7wHhaR5WK2iHc7WizD5bmHC0xumIbVy/8Rhfm27s+FgXkvEj+iuxMFevjNNmFdbAapKoNNJ8IP0zLVpIuF6RblqunT6CZj+xTOZrnlbR6uSkJnZOy5yf97SEvuZgr3/x7CuRs39Mi5EoErH8OK4ZTV0L2IacXuwLxsF/NPo6lWeLxu+Ar+ysUpBfIu7icf63ZsmzoIUMTanPBoXDa30gXeTbuW/YqvFznb7QBOLoBURYdZLEA+vEw0OwAgSlGbBrL7Bj+lNpknG0gPvoQ8imC5iibLwQ6tZt6MckOOwApgOENBmsRmlbY/8D/sZfZCig3MAmYOUXzziDooMbE5iIxr5eKcQxRKkx2UCzwwGKEnXelxBS7lhii8/3LFuXvSHfvEXDcp+a3bs00efemdGaueSp58G+D1sWwT4HdKNGk0Yi3c5cNanK2f1oBhInzBDA0r/AmpBzwNLvSqgsdxXPRWA/hgLDAFmZhieadpW0x7wezPxJl58nzbfJEd+WCwuqpDazDq6sAUMbGcOhOH59g0raPhDOsfaNUd2wJp6NkfDMkTqJQGRn1QMNjW8lyuNvai4ffJQKbGS2jH7SgRcyPJXcK6axYPYxbk/l8I8AaqYSHkmWKVYxslKoEyKTQ8YR34DUM6/5hCrD3XJuRxl2qyGt87hHDQmFnGUiA0j2Vc/Wg6eXZQCKGkrC6hnicJKQVa9yZ+L5n12lkMFjNMzfOPupTeIIKTv976e1rGt50usCidf3ca8W3DOlAdwPZlppFD0geba5NODDndOxlO+jhxNFPA9tyfj+hf5nRpUg2jfTH/mEnBaFMY7Yt/AJLpytzbGO1bO22EK3mtf+3MYW5l2W2M0h1wyk2Mzh0AMTvzZmUZJ3PMrd1xBt5UiiM2urifO0cK/D5NpG/P8aDyZvpGF6v52EE9GoboW9mOzvbTVma2JdHXpoGURmRomlShyzGkhYmMeQska6mwKgKzMohf2egJfMH4lRwcn7a+kcNfjZsTlXFQR2vLNZP6unJrmX+LKL/cltl6UGpp7yNJJesRXcvHHXO8yMX2ZB5uPgq31FN3hCXCohsvFFS8ofJOP64vN5Ier14SR+7gXl/m+BMm1UhZthGMKTsUjOn9GYLhF6T0WIjx2p8c1BKvZzO8fnCQIbUu4yZ4JuqrSamtRGYKSMCC9Iyfwdwn2RIyzIieHQTUgUmAAQ/Y3IVHbO5Aj+h04QQeaw/nPzgej7NTlKkh0KdBSEyyjrmUryiusWI98CLeh3Ie17JmsNfXh7MiUXZ20qsbiwP3ogkpMLIXQgkrLkEJg5WoJWQ+8enXR4Thg/snh5iQ4fdQvOpHXjRF0e/dzbTj7dCrr1N4r/hAXmhLZ0+uDhp+srD/X8R4hr2XsDiIhwZcbp8/zxdiL3z1yAuCpfqDkFMtMwEubUSupRoEDMmxHoTJXRKfcsmxX/S+Rv4MO/Xj1oH452/CRXIn1xsHTUicyRmI+qtFbP1JGzKR7zf8NeSafWrFAG6+iO7KjhpMpK12Bo++C8XVvxgWCsMDuoPoTatjsmi2YHZatu59XiBINOIb7LmLq7ni6kxqLg6TIwboaq7aWobrCZIHLkRV2xVPAy3pcpbtzPmmyANpcpPh14QBFF2RZJjdfDzNF0xHP9a0SimQo8ezYowJ+ZSw6BIsvjRzHOVW3WrU+y3hGmWa6M2qv1ZXGmLgKw9HZimwMJvLGXrR+bM8dg7yc0YM37ZiMx4Mx8LCa7jyJtsHoQLjbuSPWAymBg+nqLiZYk12A2T7UwWT67/yNT9cdFC3vdARVE/yFkkcXIkahWth2t+bjohgaR4OCY1rY/H8R3Kd5GgE8NkRprjFw2HQzYUdmD2K+qOjVy/mKtYbJ7FzbL7brmXeWTkdQoYnKTA90e24IOZ+kqwHPPqUmM3Npeczh1VJcrMe8Ohol1DAo3T0xdyCxzQCw6pc8ibvaSFTTKmd7y3j8Y7qWLwjwBYeocCIqhIyZ13ZlbQjIKx99xw6J1fWSGLhbBqwbpNy1ItevJNdEirp7Gy9mHtttKnjvbjmJDJkE8a1Tkdz0K3RFJIsUeAo3dr9OTPrRvzvJ+xOc1gZ3UNDd1vGFQIAyWdK4vD4/lbhOROXt687OzvKOTzr4Wd19q41vu6s6H0IMK6DSRaid0wP7EeNwVGJs/8ituTphkFOuuO8mPtSpxCbxYxmCZ1Cp1fciErmxZjPNGXH6Cd4a0TvtBgW9QHdENiJNnmUPdXt2CF6R+Or5EauTeF4yC1X6pgHUNLRnoJFtfQHNMbzWp5aG3UnxzlH9VNrx6P5qTWd29f7Dlw/0mRNMEda0c/o8aM4aIh8qJ6hEPb+dRZFXzeM7Ba9d9QzroMFyNkqOS7AsPZT1e74KrmYD4U0RPae6By+Mxyl3nInjuhrRnXkEpcRHeMgj5D00h18WD/gGbzkEtG3sRtdy1O9tVUs+vHvrWLRNzMZFhXnq+/24/hz+u+X4s+Od+j48680OQb34JGXtOJl6e/Ulslx+H3tCj6fTLd/AWora6ggbPx5VrPHpmJqy6u31S0uXLLVNeCs7TPQ6wvQ0EOn6YIQ3H9an1pmoEbWRxBn39KZK2cxfD5qYJmnf3I519CuMgK3FVAF30vHgSAMP466EcaPIP4aTbC3HUSv2nu0F88yBX8BV3r1IdZ3FQsM3J1uncArOg2LO8ag4wiXEDTubcTGiLITQ6h3FbcJ7Zf4zX2AwA2sg8cM+YrizFVEmH1e46NQJmfhDBBh5TIMDZhpcQRDKcwDCskFXxdxOXZE1skAczZI9QVFv4UO31pzppow05qYkBlUH5eHH6Qw05KJ3NGNVudDixFv0EAtNZ1bopYDl4iLm3AWHHViblk7PCMVZUc4+Gs7k9ZW316Ohmn9jDNSvSQlEnDKtOt1fMKIEroJ7RdbxO9mYuTQO0koK/+XCXNOJHDtrCPOr/71x4gz9zp2DTqJzOVTu8oNlyiLrgkyK9RoPlc1pNeaxVbcZubBufoIIy+zqXUl1zgq0cNK3i0ZR9l0ijAhxpI9gcem4KIcLBELTcGu+NjB1Eo+ge7y8L3FdUnIVMSQegmzxurqJVdgogAdB4SDhjsmq6/pjLtvEe0+F0BOX36sIaRDbinHr6fjutZpU4QQWcWLqfhBDMdCBE3RK5xDeTKo/c4dhQiOdddab5qVzQ5OWRn7GgpRp54xhwdJwDJV+kHRdPn3dPm0Wy5zy7+hfst65hnTqn4da6E7nPRl3fbMHy3rQdH7pNVMD6+gT5mA9mlrS6AdY0WgPSbmvtG2JT3s1dZMD/eJ3uYoMz2sQZWOkgbsUZXoPRTFmDATPVxAME9+yaVRdHT1j0ji1quBJJ7sgwSE4280NYTHt7i7Dycf77TjVHEY9kEoq95hPgZCyIu8Qm7nx0CkAcu4jfM5gR1zQ/+vzGj9IMg64IyIrdWQ/0/lAREYGWLxOdCR0EV1iwxsjnG6ZnUMoffhss9A90n6OaxWxdWW7v17Glqlc988xeic6T6ir27h9G5Jw6X07upbdXr3Mjq1DljKNsNPx82ePQtPcM8eoag6xvDfyT1BFZj/jsexlPx2Dmgzj7fasXjesY5qd70/JfWX9mfeLXp/PqvnZx8sHSx/clL8lisvnVrtu3p22dV0KRD1q42ztbkLOjI/r+lhbGe2JRTFEmOoJerOTBTKXo8+KL7hsg/EkGlAJnR6xo6ZjbLb0LsntjqeQpzJJW75vGfAZLtN9HbsQfOQNtm0V1/E+E7yOk/yQbdjg+h9tiNxu+LqZdwZ55h+gk+dfQvDrMR24/rf0JGu0HYHsgS0BLmu89gHZr5MZ04CcecJYfVi0hIG6GDBe0Ci3ekRYLuNsk8XvY/hnfbMabt/2NTyESv64HbrgZ7RRSKRQtZ7lFEY7pJPmCFT+L8FXJcu7P4zAoL/0/bM84ECXeQ+dZb5lKTq1BtVTdwazgl46Oi2jUcDyOZuQbfiEgusbSQto02ck2Hm8ziC4usMw2rv0OkSa8E/Q9oel2JH6HypF4fOHUdN0Mk0DcdU8Wb9ds78owybx4ZFBmVRclItl9DfMthn2n14NYiudG7d3PIaKSpqOA1Nl4965GoAI34QJl1u0g/+JxfS0XBHIYV1girMEuNghzhFn9Y+FDaVBX3SjzJVsTtznERMF3BPzFWF7Hw4nzt2k2AhElVlQReiqQtykKbiJOYebk8hIqB10gmCxCmvg0/oVpyxAklLhwBXegsFkAHvFmRWFGr0JaoP+TBsmSVh2UsKzHy8meoKHOYFDpUO1kPRewXwvtrP503xgFzMac5YiXJTvKKhsH+0wjPo7+0YIHrfqzUjqbk6kpoClAxvgQqL7/ZkMoeIibUt8BXqnn5L1iHCXcv11iaZYan5WDjj7j6PwnWs0zpC8XTHSzCS9fWtYsxDTzCMGcfvwTiUxPvxbit486FkHW++VN9Cblkc7gimE+tMdyvffMb4pmn8SZfTfyZx/We6fIxCmfwxaH9eYwopj7CbLp9RlnFe8RMD9RKHE3hISN6oMPnfUSYOLUMbEsC3x3FU9J2P4RzhYNl3rx6ubDSh/LnrGRgD/gD8v57gl7sjAZ/I2UOopiAsy5WFVdd0YEwiy0PI/VXMrY8hNjODOMUpAiKrqGh2F1uGEIp3NoPFO5sSinc2ZHgg6mcj3plLv9+NxTzD4y/+bV3JnK8HPSs3Bz1jrgT6BJP3iYf7VqkTbgzzkstr6SXn0ZmQSXOptu4t5wlEX8FvOKswRTkbGo1baQbeGzkgmnlkSm55bTb6PaNBhgsfDm6wybV1x+UyEDIXrzLtGeGoWV9OA0VDs/oQwna1jpMReU8FzK+2ucFwZx1Qy91Z32u8xJ11Rkt31ulMCY0/6haAR63pvHFCiPjIHfEh+CD2K/Fs6GpHi9ljUpcEvJ3MYryJIWud56iztSKtb0I66OhtF737Tra6uduMN/QRHXryff3DyUv39cye+r5+46Sxr1Nb4pawfe1s5XNvjWOfi54wX33Xfpn93KmnsZ/Pa3EnW8WQI8ZxDNklFP/Szvt/w4VW8OPPdh0/toXX6tV2Y51LVL7OeJTvf1nn4wAr2myorVZeb7R2Wj/T9HvD/wY1i7C1704wTdcl6qQeZ1tdvmH/0LnZ9Ov56M+euXT1Cq7XV2/bmUuVLCDHueXteN8TtIYmkUQyiWi5p4LBkIVEKzxsOhb3/Tk0VVTqflcyEzncyRUh48WqK0KeWOrG69n5KBvp10rx6EW2EFLje7jIJXGTo6F+O65G8b6L7uTSzHTkrrBA9a/qI9fpfllrW4vH8YeTfSuAWPVr2KFYk9TjkWP1jmjpp2HnYBjRctKJk0esfjLM49g39SptKIYGNZ8nKBPQs8l3C+Tf1SbrtJvHEx0q6EpvrY1mtp/zc8eTDrGTfn10hy1SitH5vh0wycKWtJS12m145NlxUDfXA6Z22SryMJCnb3AbFmeVy+4uPDLyepHWSaMLtPBKrbbwBbX3tQaMXl3NYbSDlW5l/hPubM2wCtrR1kWqor8xIORxnYoTOSQ2nr0UEu+4VofEvQTRhegiqfvUeJ86Y1IEX3qcXFfHIbr7d3Qr0quhzXgSj9bfeiYsXo2OfEOsmcRDmGvd9tNeZQdiP+F4jUUWR5l98ME/1k9fB++1RzSmhCbCA9yp9znz9RNc29cqv7uYzuklMWZ3GTHAyoKuJmZX11KZGd25IQY3IoIYXM7baoMAVDiDewnv0wbwi3a6+vIF3oE9r3lPsYg7/VnAeY+8D4MHMAFKj2lYg1Qc7TL34JohUa/RBykJ9Z7kfRLaGjKPIAQXa/jL7yuIDPmas9CC4zqhTLhBG3OGTSA7pXZUSt7nCQy822zTxvIjAlF3S3KjJ7nR4yiXxCHbEXVRaIJYtngsRAk6y3IBEo+030oxcjDSNUpPOdfyi4FteNVB56s5vOa1YfeFPxq66qDCTFH1mDm2Fucd8rlESaD07n4z0Y41tHV5RKfXir5n2v5X9cHDMSEVoN6BVlWBOplXqy/5KGFRG35QahPSc3rkH1tETTBR6VX6hj7zCBHX/Or2am2PlsZunaBOvoobu4FKi8vZgVEvY1aFVBtyY4aIFAiTqVmf0+ULrSrJ9ehHLnE53WfnsScw3k5gODRdKDdPgfbowVZx0i2P6ISxbw++vPtrL0VHn/fQ0VFhrUmOFopNzBYdXd76W+h0pcF98iEZofk/gEL/LwIB39+GXFDhCvxLILVxmFhwgB2R7yuERAEm3BZ5CwTvQZG7KwIp20aKp23n/mC/4/ljL1IgY7XebYsBE4dFIjalKCG5f7Ex3MpiuNx7gM6t3GMR/akHWAigsZbM6eK823gqFcT+4x2NqNVhQoSNa3ZImOjWnV8hQNdGrKG75/WANpxXQCf6SctCooRQI/VC+XqAyz5WzC2oonNANx5EfPUuxZ9kZwygb/+yhmIPUiyzsdaQG55H3iL1Cu2TUCRKXweRIqa1Q3to7r1RTOM20XDN1v6OJ29BEIvDQGr/j4KfEi7zoYyHC+ztfta8nfvo3UR34wwWgMkJJICCMJ3CMNHy66ZNTXu+vA1qNyQl5obRQsi1dGtoo/j43WNMJoLNngObvV23y232Wd0MDzZWw79Hd4hLl38V/U81ARiNb0FvW4RHqG7TQgL67hgq/i7oGEFHHiFMQGhBRxs8KBrHGZegB7zraydw9tqSs4yMSEIoRBcpnibwK7EM2stuxtLtRNxhuJzRY/i0suAKRoPJIVh7kyL/clWmPJdj/QVcwGT4HJ1bPulBkYDTHxYsup+IHtJM4kCtpEbrgQNaRASeM0ywaOP3kUI0ZKOay90TlhkYslUtKPeWa0XXGRvucfF9O1R97hH977cj1wtt23GmEqliVyi1sxg3dJAbTnSkW96rndRMBwWV28PCLNWKuS9Hco3w4xSG5qwbIfmQOcqGPP8ykuLDrQh4Tz0omDTiW0nWa68+0eVyEPpbF933St6tz5xb/lX7e0PL4426R1Yfg7YHomEUayUM6XhLJA8KeybCbCX8Q8n75Q7MZ8TWCrk2tP9X1EDP2RVPguj7HCA1PfCc4HEsYxcj5GKkXi+Teixi3hx4zwIOcHnKw51QPLIekpjhSTz6XmYjecsTxcPV6kJXSoH6cBcm7qVycc/GUWt+6Jg7LjCbxpbfSJfr9M+oI24NoSSP3EdvI9QmKxeK6FvaaIw3QvT/2Bg6FuiRVRBXegmGryQ6UWKICrf4bYm7rq6VEBXkRIz+mmSw+2cj2+Hz+dbKo4sWHg6LUjEU9ddCFWtrs+qWS2g2PaKryuSTF+bZCWi0ZVQKNAtSVAr4riRXusWRJSm1kuxFd05GF2S8mAtwFPVFZmG1tEEnKf6nDryLDI6xBZMi368zKa905kxK8rlLmZSIOJ1J6YBvSTTsuycUB4a8ep7Hu2bICq/lUozMMyzg2bRdxvHLJyi/RtqseZJV86HLERfp0GX1cuPMr6GLAukmmY5kFof0UgmI7FXD3xsYf0fFtBLDqYSDhBTo24nCz5aJ3h/wA5vDvrmYf3OBjuHdjCE0m1a0/J2ICX9FetuhDj4aUU0HgH8SzPFKRdcZj4KbeDls4nRHJWOQaBN/xeiTR/6qFcxDhHIJYD4ilE0ZgsW8EVLDloyRS8gm68HAHPVUbwJvchbUaaLon4C2gEePs3PWhtlybVXIbNllwiXxB76sCiFfPQ7BQYMqsRhVUzeH8c1fhxPM/41QLuK61C/xtpQXqls1vqE/3v9sf9NepMP2SxnZPyN6ZyLHNWAZ/94bsJihLo+xS+nyWdsodM3x2DO0dkiCeIgTD5q4O2LYV5Dtkje6Qcj1BlVUOJ3X+jRzuPPg1VvleF6hAurdITkaRG8sXnQhb5Y2n/Yka5AD0LaJrhirIxg+U/1pK7swciTbhcD/xF5GI5kdazoXHGbUffSs2UDt2WustG6RJj8MtpI8wFLb46EAS7u0bnvNYVv+nJCJ2urbN6PcU+aWN+taKW3OyRCJyWoLLPogS2YsPxhIkRKTYQ5p78i6QYACvnRSWRcQGacLh3VXH0C6HnFIFQ/zUsjNAm5UbRy1mDntnRQXhw7c6pe9nHOLP29LrgSc7r0oAFIuYheYC5WS+C0P+KLHeQlC1g4M8vLkljZhwV10ajj9RcAhJjKYyuO6uOUypH7fMpNy6ASoq8nk1/eQyPSOqYKJ4KULdS23uvpUkpnA9TfsGBzLcA+NVikGj+TBiAXG8TDTizTUjnKCAbOtfXqU1F6h7i68aOru5x1D3dU8eFhQ3o0M2v5t6LuzVks6wOI1kiRsYhFb7tX/slFr0DjB65ia+bPVXyXbxhU/saNoJeEhgPmk/GEUkhT4umIiojPsUzTbUYrsHJqYWRdMEzMvhk1Ma0yHdlsdAT7nne49y85YUiguuSY9uV77sTY0XnfgQYFCkv9PYza456xpujaXa2YX7mdygU1oYTPTxVwUCm6NDga5fKuLu4aEaxZvQdrVySgGvQdJV/upxhSAUlckb9iCBzvS5e1peM87mdXGsIvaRusBsrSPAUMoSwk11Yq+rlsRNR0F1FSmE5l4w8zuyGeo6dFGHTXVAGo6vIU5rEgefimDB3mdTZlTKDqUR9aYtpjfxhCcasPbGOrYXQy4g2tJ7K47b2Z8v6lBxneY4N6sjgz0bavzv1Oz6GT3egyJYRw+EyCl5Z+n0Fc/G6GvPj/PQl99YGo362sCJK3kUCvGIr4mgOm7uQHTD8xTU3qiu+nvJqCR1yNP4zlvimfpDUbMasMu/QoP7SA3Ox90jnLLv+vRHRI7G9EdhkUjFet3Q5DCOLhZ2Bgyrkqq0gE+OGgpIHhBfMtn/5EpuVbRA0euTm9zpOj7Z2/GNeI0OANDL6YHABrTUmrTA+NLEt3KozCkfk/UY5n96h0d6IP2C5SEeVlQ4GxXpl7TgSZpQYHbW2pztitPdxzJKnXlLbP/h3N3Kh1fYB/HGUKDwxocrPp7NIUaXW6hIDFZ3TgC7GkBcXCQJRtlVfZ2jQVAUs3qgHS5nCQ/IdliWZ1Ir3DPvtweVwMjDeDLvUncFoOOrRhvLEmV29On6GprLAhsivWlYSwogKh7HS5gBdZYADGk7KEDcbVqEGqWu+y90ThBR+CJgSyBxzGYFYpVVM7iM/Aj8ktDjzv5Y74F9cbJFP0PJ2V4wNc7MTL8Fg/VHBxsBnR8fjvuzffjDXSn5g1Yr28SjGUvfTX/qy/Zv9CR/rqjaPPSWyYBvfC4lVzvJW/zreLsEjuefzmPEkVCuny0ehb3J4H98B8mtn8JI4NeIKDgjt7BIyJJGOaAwjEE4v9ai8hztYVFM0fM86AN0dOxlFqQBv8CsyaXo+K7rgtzH5gi4F6egld7Y5f6oF4tVfReYw9dBlTaODNWSY1yyoUlhc/PrOTThM9byBkiOCubgRHs2Iwg7V/e3/ZRRHOpv0H0FQ7v64/nW/b1i7awCUcGGb6jKVKmxHqUsQnK9GgSspiEuZw1/2xn1GIcZmcLdVfutBR0SkdELl8oZ12lYA/AMhcwW4BHPiAFFlBb8j4CeU9ygzrTxlf0twQcyK4rSRrH6uPEefMT8QONLoU1orPYehhMPDZ2MIG6tpfNQ/QNoflzKaOjcQyorsv7khCRFOsaMAY4r8A3eAWNkmnPcMk7pcIqKyF91mslNRp3zYDuDPQwyy1s8CgjYt2OtWKupQf6vh6Y1tYjT4hNhyEprJpLybBhDPl58UTTLC4eaNclVxregYVVUe5AtKWFf1j6AJuYu4kLVoR6vMeFdGWsrbTxGXeNS86wOb2NgjhP6BHiN0oKG2ZuYud2Uwqq72bnwh2ZtthpbmlcI35IKjwW5QF+SCiXlDs9juZp90BzbV2BMZ2E0sZZljTHbnFeEU7KuCL3uPWBUZYIqfAAdG+gDco7HVtmLcVWXCB7IFPVPLVQl5Sgtg0mQPRmCqEue+SxsZJXwwnB4XhTghima5Gxavmm4blzDliQGOF57YwEvCrylTVXh5YNl8x4Fsbbx5Y2PJOaqMdsLj0zbacNR19Y2rCtEB9KPChiXxFvbiE10TVgsn2MGHinB2LydCHNf3JWgvZbD3SNh3mIoCnwnxR9wQRcItUVmBjE8To3N3kEmPPjKEx4hLOeAe2nbvLIFqf8CwwRpsb60GCBadvuADm6xpsdxaSqnndjPu+kW/c8hC0+1s1lh3zEj05HqVMcUerkFz8Auu2GFw6v4txvLX4WNyRGwalxAnKg5rV1F4ALRTlnCcYMg3nWysPvwWM8Sr32N5LDtriAzSo8mCi1K3LLW0L7IdXmUsZGlzY/I8XCNugtBkYDNgrcK/j3zHJpm7pYWkJm649QP6K0eRb+Dk6Ah9QE1Id36QTbemdgdHDzBenJgv7ybhAr+nuEeo/Q6BnQaeo6jxwrr3fJqbEueWxcacP2DBtUlRKyjfuRn7mKnQrey6LKVrJYM/5NGJ56jzjvFlSs73TKe7B1aFcPIGTcSAOckY4PM68LPy8Gr3jYWKxfWAUTU+l2tBX926146GJYtNNbLaQpw2zpyhMJ0O4ndF/NsFgeyhQe42TWMbcyLFEnUPCcpMeCguc+2IXp+m3mHiUDON0plcronS5F2otzXuX0XoBtXBrHdAS4FdawDeziofCqh+ICjHS4buw/7X5p3GYcqmkalYh0R+W0YTj/gRnthPA1cDouiPO+QxI8rtAz7ljAY4lIf/Jw/3sDcTdCRadj/azPaV0aoDFoZupP6HKn8uvd8pm+k2K2ycA4TbHJo2GhpDhaI3RbeyuS9TqcEtD3vAwpWzIzTXg/ZY+uU3JhxEO625SBKeDUvfrQdXogJe9SsyI4IThsQ0wutTMTghPRofObLgVjrCJSfzyK1n8vj6pXjK6HKFjPW9fOeIHROTMYit+phxzkKP7JdgzF53PWjAlyI2I9wiFEcLmnbIhUd01rK8mPxbqBFefWBJdyH0P1Z6mC4JK3ekCS6o/+cH2kwkOAOIpb4vefw/H6vYBj7uN4fWG7EEAQXk8poMmpvpv5fY50ZCbGTpOkcWcZXj/K8HqZR7kjHfD6IGiuTWAGQ+tOR6M4bw9D6wgFgNbdhYej7g30BdHqDkTr32EjciM0AZWnFutQYGD1eYSI/g7YvNrA5kMoeA6OUMERcoDxyOulnEMWkpIyEiTH1plpLs48K4wgS/Ku1ZEkqWxGpBYZbDbOv7g4KyzJoxNaYB0jVL1+SaEwxj4Wl3E6mocdDMWK3jegZY7l78KzUyBdIkaf93S70P3q1fbW8FfjM4KB/yPator/NSSGHuGMNCBl6ia9NeirzSn/Ksl90A9uIKMD/sk22hGMEfONZCbiTwjw9yBUutsQzNO5nmWEhMh+SEfBvIyv6a+N1hH8G/wS0jD/pupY7ccQvteXTJJrtLRm4vt+ZKwWm1Kd04PBRXBGNcTtoUvqJ+ye2M+rYdYYI4mr82lTcxCZVSikfgErpa+Qv0AuFuUfWRQgfVzAeP3e0TSASwfo9zcyv60f2U0LxKBxvK41/m6S91oiIkmu1J65EPLXgn5Q2yz6KE3eym7mb5soAGJ1303wZeikLuDoH9d8dFe5MU8SD0zpkY9yeMVp2Hhd0Bg6XTz6Lgb/VOLn3SXgyMnjJUBYmwUKEpe+jB4rWTOU+EfuYsGCcPIxmoR/S+ZwgBQP1fyajVHeB4JUyh4UtOxDFQyJf1iUbwLS6y0WHFunYXiaHlAepMcoKJO1F1lfrCifU+JP3yRQ/IxfgEdW4n/jqZwraX7NQxW0t8+Z7z8LgwBY+eUaG+v3F0JLvryp5ZKXCK3O/T0Jl5l77Yt67v/OQ/M5dkrikJ0oULN7jfbR/iwAvilNVt2w29KFGveAO8Rc1CSG4N3pPQlocgRweS88IwET1AQ48kPA9CUHCDcS01s9OFR+pGPUDYQf1zH8iBu3BvauR7nC7Wgk/CjobK/T8Zs4b72F48dDIfwYfQMUdzp+5fgRuN4aqAz40bERUaNbHHzG7VVjsbveR0hQsnr6C2R5qtAvbq29EOIIJeWq3v1DHKEkew2GEJ5b8oOyl8KmcsBEw+DKFgzhnRdCy6N9L5jnC7ooyRXYQ+op9JKumg/ZO8qZPdrCNQ4kgO3XP6a+dNG88FlXEAfDDxm9sjY6rOzmhmaUadVJ9c3By6Bp3WkM0LWB4xFtl4neQyGMPT/GhLELY0wY+7b/zn+a8fe8Dv9H/D3vDs7HpzaGrdqzd/yPqwY7uad5xQz0AiunZjeEJrfG62Xc/MYG2idq57pm3TE0LgqxTQfR1yGqFUbHNwP9K9rVkRkH9xtzQbmx66U70aRrYZuy+XdyylWN4zTF0gC2cGLuJLSafUoq2gqtC7pNPwQizt2OIjHwVocQbxQYLMhDbf4ts+K1JfGh+aejee0BPioDGTT5mxsloV7ejFMvCQ2eAddO3eaRE3HWtaT60GW/+gStIR3SkOhUjnk/qQ/NlSRH5mO+NqYWcTnLDCzN5lcrZEjyOWCErFjt3+ZquKCr8CDKDPtoeXcKLYZuwMECySAbH7PC0gA7WK4erG0mA6DK9GKjXcZtcWgYW3k+GAQcxPmix+ger7/TPXHk0RZiiIBN0o5hjmMjlu+IWxGB0z88gbSf1/dtgSh+qQsDuci+rYNcOcEXW0oCPu2nprCK627/n2FV9L+JsDTFdP+4wTfIdZvH28dI4zLhD3CZOLkZdS0md05Xilmp791XXoNxu8eV4vLDxtM2IzA59kni4HP6iGmLK5ci/S8t/N6z1vA9RsokfK+rOP5f8P27///g+zG3tVjGNrVhqzHwtv9xNbTSCxif8FL8XZ3nZeAqrEH9t/oyrIKWRk4EB3FVbroS3ciBN4mkIyHxZ1MECzspK1zKmExSrEUpLRiTgsw7odoPKRiED+OcQeXMnoOVHjcBWpHvoIiLJYLTUYL8SPzcFJ0f2ZK1R7lq0nUC3iMvO5E9uOphnnqcRhs/kfUk84VWejGw9V7c3HovUlv0ok14Lw5dy777EvViM08NwhRIgNB0Eqn35GKQx6xu+XdJOOdWBtoxuI9VfeFMc9DtLUn0OA5laYRP1CfOIGULqn+j3zr14TOIGjLtiaQ0V0efg2Tg8Z0pBaZ4Xno8pnuhbLj1Goco71eLsBG0XivWe/oIFu0z4NbVq1hp0b+m2eRxwmvM5zV2aR8a98Wq1TW8xrut1HjMqPESFx3UlTWX6c9tof58eyv0ZxH2J6C3XtxK6xaj9U9D/XlEr+FtpcbGGr3G47w/yM83n2SB3+ezoyBqC7ZErYf5VVaZeJAFnAfZIr5SAaSI1gM5j9Onm4MhdW98R7PWD6+MVMaCoJua5ImUEvS9iGa6selCFbkwaTaDB3koOqQbHKi9Gc3R0Z/hP0L6w6b2/0V/eB3qDxNJf5iK+sMut3C+o/ZYmP6w+eZL9Yc6ykiX2XE8d5jqUPTtRq8cUiqHFIhykdoB5kpbXY0EqQr9+cUhNWHI+I7qVjnwP+K/1TYcHztDCDkcH7svh49R7yyY9M6AkD9iCDm9VYQc0jsTRi5sDSP/hWHkdb1bYOSPjobN6Ze9/w86We3J4wxuW+GrZwVDLJgu+ugMGLFbJvaLhODsarwMoIbxe9efNPi9NW05v7e87X+zcPjj6Zre+JjeHMl3v0AXNJjRK3wIj0pad/W6BMX2g6rreiGKPYxi5xYUO3tfh3AgP9qRiZ3FhGA/7YUItoQQ7F7lqtweDKU+2RER7BSWyusGn9HkjnQ7sUeu18qriXnU2TznKcZLvgxMJ/ASvZGX6A1o1cMDCLm4+UJ6sra/i+OB0qZZzNJf2rDdiPel7jiFjIduWuG1/AVouy9gtjFetukZVlv0Bek4Sznps8VXpqDT7Lhiri3WXtIYAqrhGsk+5VwrwN0HVUsoigM0gqq8/mkptRSViNkhDZvVGXXdyWamqvwQ1Sz+vm1IVbmXqSpRoxTyaYBmkI3voy0/G8aHu4VyiqBy7DBMaLcjZv/tlmyk7ydgRAn8SmqRXxAKkGPby9ziqGdDo6WFtPfkMpy7dxHOFvCpYyXRnVMuF32/dzI7NfXXulGwrEq6Ctpg/oD+hYSYo1HqvSdbMIG3ieFM4D1nw5jAudyLXuXMZYHO7OvWq/JUg+n/9kRzUDez6QajkEGjDRMCMmGSnIEfwhzAkWrrjfP10yWCd0+w5fH95wiTBPhkoAcpU92HiwF7jjcHdTuW6cLRfFOX0IMI3YgytLJDqB8ainKS01EgBlZbQ3ZCZyAVJaU0f8GsXhoG+Psv9AO6iFFuXHKBK5DK6Uc9yFAukCfJma1RQvuTJNvQ+KTtPmwWSE4cQX5wLBNIsg9fam9DsSQP8tWvVAPvPKXLmeMxCIG/Vi9LMErQKvqjAV2hzL9HPagxovuCiosUr9zIMVDgZCsYaPpJxEAP38gwEDqAcAzkhqrSjSEdmKECI1xkv4lUYHggLISLut0YYvZMKjCX0rO6K6AyrHB/O+x1zx08ndeAB3gDPNI3Ry3VHdVvj3FeZRcd8GXrRDwLnke7Vm3mZ5NXnAjpV1uKcVexIGFjbmhBbfpWhVGbgTdchto4yxllsfAXJMpdTRcA67Fl6jy8y5dIYBtxDQzoNBCh6Nvcnm/CdLYJ7zgUtgmH4Z2HjgKPOKTAw+/KSJdLiP4/W0f0H9Ed2WMZH5A+4AYx91OD/j8URv9/i2S2ifVrLpXH0h0zOra0TwD9B9i6O92xv6V9okmc9zEj/9K4TSGzc9+OHtxQv4bsEzVQeWpxumMbmSbEwQcRBWIndXlsg10gu0kFh3kDPS3aF7Yun9j/N85K+4LF8YBPS3INftmg/y8x+m8SzU7D8mi3UcyWtWTrcMn7ubkj7mhz0GQfTzAbuLUrDxA52GuQg7J0R7OYO7chGGx9W+ZNuohyO4Zc4h4XTrmOxcVdf7i5xdkMpP8I384jDL73uuRmJX7l9YLBYGhz6dSsdc71AqEv5vSRzTyIhyaK/od/g+3cht97E+K411gZFUcuRxt/kFGP7uTVWKnjqduqaJb2hmZpLewzrXswRIJDYwhTTsnMjIAu1QW0WtsRaeSTe8lJ9KzX47/KzZwYa+qgo5wYryZP8B6RZrthBqocZfJKJP5D+ZrTZT4Ln5wLBgWyvxZYQvSpJUEdfrTZcBR3cQOvTlEbYkKeDUhRaxrCKam+x2lf8E2uNhy5zKZ+NSZ8U394LmxT4+H/dBBmASIS0uRToWVp34HHv3HL56VAdKrJEQrvCjwQRT5Pgaj7SVxILkUv8dyOkTz+xm484r6NkB6COyG9v9Axb+sT115mk925J2yT3XNtaJO1xHfMe55tNO2G/eR6tpdpngwjjXYMr6gVDhqU6n2BU6o3KFzUyT9YRdH/2xmo3PcQo1YbDhC1+i2RU6vq061Qq4zTSK2+SLyEWiG//E5iq/zyUxFmGpWVaOKXgRLddwWnTM9HEGUaxNN5R/BkN9rPdX1B9wPGKLvuYgEBfD9HUrAn7e7T4Ru8vXqyquXurufUa9wB0+62/naNaXdTyDNAsQjDQr3Onn90sAUPWkrH2D++iEjnD2c4730Q5rVna5D/DEeApwD5VOfrtMQp74Au31XVOkIKqkurmvXjjKyC5jzCBhyqfXH/5WpPvaT2eaKiQXXJfqafIbdRk4oGwXvPiUsNkSY5TbdJTqDLp33R6CkIRC9x2jD4Gyt6L5IiqskmekdH0FOU6D1koydBnLMcnRVyl+OZnOXYVCLfU1fvMPgJl3y8tPkZG/zviq0qbQZphwo1z/LFWXjpmu0me416YV/rK35a/dd+PgGK9dRVgkV7ugngfsM+zuLMaTKpY3QguXu/zuJMbGJyre5ko6NxfQIe39EqB/WU3vy82lY4qP379OafqeXnQ9QB+1pfwNPqd/uM/t+C/Z+J+zZa/8AbZy5VJ83ap6uTnjujt7/nN15Bqb60wgijwlPViDsL+B7QidMbu/D+c70Fd3UrU9bBGNNN1Wh9OA4cDDptuGJrgBPgy9cIyxfLly/lV0AmLntSKJIHwJc9gt+dGVjF+sbEcvVmAGLtml8JC5K/pnZ+K31FwlvsXbH1dOcbc1eNS+Bf2LSNi4AbDpr8vuIbunMc9+R+fsAkhOFGY2gNa3n3SzQCaVAxv3uIH28F0zkizZhO6R6G6Vgt5aqx0UxDkI6uAVeNYKm8A/tCBhvYzLfuvYwu8rO9XBdpWDU/p8tc43vqY3pl5yVjmoG3PVrPXXnJmFDGOAzZGGbisqMaJZhH9Z8rWxkVmtnzOjDDuorK5PhnWSpP2NkST43aczk8tW5PSzxVvIPG5r6Sj+3FQ5eMbeIhHFvXKy+hSLhetiv/cL0KLeaR7enWysiAIn3bnlOorSz9Lk/nnTwYtmYv7r4cxTmzW6c4hin6YEt6NWj35Xb/D7vN9OrmbiZ6hbpiF7/eFtpo2HU5DPiMuQekKbMeTgBM0twcNoT8XZcbwi2XDOFsc8uVfWHX5Va2ZlfLld3dxHfmsuMcP5nGkbLrcnPx+a5LxtEDxzH7Ytg4anZeZvs8savl9nmerq6NP9qVg9hH2y8BsVe2I4gt63rJ9vk76v8gW94PwOXCuOvMKIpefDy0DMDbDS6l95UEb+6IcOPMJGzSW0wQt9vFLap6oG2nfF6+oMSn2Ni2ejQCt9U1LJV38Vcz/OzQP4yhY9qrZ3dcbh0m7jSmT/8Yh6SvfqVp2N9FQH4KcefkI5TzSxc+MYt2tcIPztmFU/N2l0umxglVX+7Syu5L5Lvv+azQzvt7l9DOqwphyjvaMky5nlJ2lsqL2xW21NYdl1nqGTtaLvXunazmXlZz/fbLQZlzhwnK9hKULY8HKBseJIoj/mgTf3TFNk/gFGcCUJyrOcV5dCMVUWxAki7y9/C6B39998awzkvbL9P5Ndtbdv5CM98wymmuZ+dh6Z1yLYiDbOXrf73ckJ7ebiARWDA1DleG5GVsQnui6Q/A6eNfLwdO3bZfDpzub2JqGhLbvq9ppkP9NI4+R4GRWFzTHAyT6wdvvsR/z3SeyfkwHWjCa2qdox58AL0Yck6MjjVOMeXgeikvxlKplFrZZe+vPgV58DAQhLH2ceyITtuy7Lfx6iJ2NAdNp87VqNBQ/w5l8dxjuctuYwJ1MWotY51r8LDNiMDkqIz05HJyXJAbPfIpNXU7F56r0L8XT02Jvh54zDYQbcGzeoUqCCk3RrGzCxJdwRKYjDeYjrLb0ODRJz3gslrC7/csKXz+mbSQo345OeofaJhZmO64KHq3ozinpFtcIHkE2sFXAy8J/pOz7tJGRv5Z//PGZ9qQ/8lJQHIIZSo3vm1ukoSd8il22G6fZ8Dd6H9ik5skWULL26JOfPY88uIEiuZVGpvuKBX99wbZpd9JFL6ZDsy65Qp3ciUG+c61ReKRhXqcQNH/DfrfA1j334oLZX2eNzmDLQiyZBM6MQv4pJYW8NF0iShiFcCFnRD7ZaZgvCR45NbvgsxEpUeSf8/z9zLcuo3cAWOwQe4OWKXcfDwCqp58PlO5eS97GirllCAIpRQ88qgu+BSrP25hsN6Fw3qmHbudspXBeZUS/w2Ip9Vvqa/wcitM5U6r7fRy1R9NmK8+ycvMDStzZAsvo/2LLqezuB0bPOLgA6hhLKHtp7nlHW7U7gm7PAOuF3O/IiOjxXtS8CgPkHrRXUPaxcM82LYtTMV4t6GPHd8hdtpQk34RXblhgZUb0h17pw0w6xdRvei7RL0oBfp2gNKOX2f9wLSL0ABUnVqKZ05tYSpGLRa76h1NJ4Ab0+Vj7pxj6OKMUYnmoRMubJ6BHrmBdH24t2xS8mY1eQsiBhfG/m7UXuVyFjUuyTXV76On7tQmUrLAlzrgl/wnMz/Ar2kHDbt6mlALa4RtJrrH1SIsJjClkcduK23YDntTLdyK3/EgkHrssaiCAmBNwC8nij52FVMx7SfxlaPIDjDNEYxWOwdJ9aNKQ/FQf4FHIryliWSX/lJghl0yCTAuu0dghg9JfQE+q5WhH2wgMy4DS2Z4MOQ0dun9rWzosdqOi3ggsUJ7mRxmYx4VBRYLIucib7MmVVz6HSO3T11koRfZfoi5Fsr612Y+DOB+tUgYPS0l6IStzOKpn5bk3dxnVumdgAzIK6SnLodNsok2idpRZ0AKsvZK8lZCUC75vFtuArKixCwLUsQWeRnSwJiPWCrv2AVcZVglp7wBPxWLQ8J7yp/fxCC+awjikXc8u4mB/H62tHhMGYeeoL3PG4p14ie3ueQZ9gQ3mj1hYaC5mzZduhlPq5/w1qrorpsgthnrAvBi66nERHfEmTilxQUv08utG1vtpedyvYxk+9QbjJzVgdEj5n/VGlGqsAicKOF1Q3RT9+FKRpz4negI+2oly9NvUJdL1dWYIxfD22j1++PNeFg0TuB3e8tjoCuBJXjBN93r7c45gtd8ux2lHnGYStd70/NgNWVPunAS5sKGo+qj7trcjKdq8zTdpDIi0LeXJLN7lXL3stOhNndgHt7VuALlbrwQqfNmRtzmHWSoeX005gfF5d+76Rr1IlXgJXxkN0sG0XuMPdETGG9PTA8sayNYWNiW5J0rY7k/ZRLdG4n3VsMCHvqFTXRHvLbajddWHyb/mwG/8G2WuY222FaLOcgn3iOAWygBZqYHhfjsDlNW/UXIH14+NzLQ9xaPo69d9NpJaT7DzlgCakCt3kSzMW8v6uQWWYx7IKHlJOo8DYP6zPxveH9vN/f37VB/lQ3m/mbd+Ed9fQa+Xf1v+h6LJpFTgqBiIj3z1QEbuHZlQDPhy2gDPhPUTbwPu0XfVewtX+JaGlRWe+Yy5yieGgUk4EOMWwmvE1fgYBAPjMHRwTqodxxtBi5emxFshd8CktIWeZacE7Y2MPXsDPki+04rHk6VgJGvQqOtfJ5O3ViJp6erePlNLJY2BkNWA911yqXeC5Giby+gfHX/MVQ0DkoGIPs5W7+yPrDQAGk8EYM31zuKJXHYTn5jPTwP3qluY0PPvJpzd5Jcrs6HvBXZeiymkZWS/CvO91j1c9jbiCBx3DaYFzvXrVM4DFh8V1HKFkn8lh1Qk+rO46TEGteUZw9a3Q6v6X0BUOO/2zEe5WkU5ephiErsahvR5+2IXZ2Fp9o4AzMF9cENuHFLaTtkXQHF4CUtsTMwQmA3QRYeaLPmFIUg1+oKhrdznYdJPJ5SoL5AVU+r161rJhUyfgXZ61R+acKVGwlgfdfx2I31NOdBnU0V0lLWOvMR6H66DmcmuCKSX6OYAw275TKJbs7zsfuJrXw87Xio0KwnJW9+YhrZAa6N4MvNw+nOsI92AeYcjcfTaess3cC2znRoq9Zlf6xb5r/ZPTHYzdvXNwfZaXg8qf04QIE6Za2+NfywNTKzPXId9su9ITRQ5aqHGywk3imROPMuitXkL2O3nikM7CSFAR2ddbGyOwgJ3BQObjklCKrFCMo8Up/p3L+/vJl5VEzhfvnzljcHzdMXLIMtYcEz5JI478kgC/qJnaP9r1g3t2VzFmNcPHIDHg0y5q1dBIsGbxNzb4lg3g9TOKqVJPk3SV6nH3TUL+sZelxC/vsJCllUC594Gj4hLqcrVfHYZlcr2n5UWNmUtSBGpifXIEBUciXM82u52FFAnjtWCupR5nacmvof+mbY/VXpQh361Cn9jtUxJCyl+WtF2crjDmNHxVe68vvdcdDapGazPw0jdaF0qJe+Sgw+kaT7KSov6YKXWr8W932JFg18CgxhS0otAT7A+jx4o13fbNbX31tusFWOILfn9IEHuch78LS3MVr0NZAx6wbxlaX0cAWwkvigdlpxBcgVkvhxkej9VJ/wdBidvy2/SIuWAaYfph19IWNo59Rq1c2m8z3lsDSCrmz+mp7D7m/4qozxCfEMD6N6p069oZwh4gP0Te37ZkOvbJoftSkEd8bGxhXQ2pjOH1McCH2/qY9W49SVoav5cD6kWIp3NO0hyTtoKC5bpudnNWQPA8TxxbrmIKt9TTUyFEaV62XVKZzaXC+U5i+eLVhAWhupOnOaZxWvFWaW8/ruwBw9joVNc5r7xeaFLvbV5yUW49+Xcvo08qKu/ZdPgXTUuYxNyT4Nz3aH4pHU/030/SM0P8pVE86zDT/cihv+gSja8P3ahuaI3Y4XpENsljV4O69ahnBzJfRufma82q1URyvtiEP4lFhm601RYXvoFfTUb3/BuA83wLcgi2uSqHorSDOQQJcQNFPwy09/YJTFhbf9lQO47i/XV0Oe0tYU4CqSqZhZQDe5iF/Xg4SlEMhKEaKSWNH7IR03H/RqJN1e+zqknKtx5ar/inHWFvDIZaxJ1hRvF2DVtdnU0GhSz9a4BOABNtc7hTJaTqejzCWOrMkBBgNXVHwlhYrVqW9XNFMAnET1g3L21IfiaFxRTiMGgjg9x1hS417c4mK+roVWxhCuCJIZ5ZT6l1Ld7jSD6S36q20wC2hcf9IJ4nYt88VVsj3Ub/L3WO+0eqCc84exxIZNjxGXp8YMbJcZPTAxKyGET4YJEsgiAxMzf4d3NZwXVjOhOyB+tRd9W5BRO6vHT0NcLWhXXNTXVfR91sCweYJ+XD0Be5boAoYnucgd6NtGnV7MWVmKEyFQCQ8QKofHnjD1F8W64Swx5Im4zpvxCFEkyhGE0b0V9az1DH2PZqg/ARcjFyHcOFno7aWCYGEyJbSYMW0UDXo+bA3aqPJp5BTUyHK2SzPU54+ZdmkGcgrTrpRV4Xj4Rs1ppH1aCO1nQPvuwCtsn4L8qt1VH8I3PrzpS7UWIfUt5Ij0W91RDW9r81ad9tZHi/6ZUI7tpumwVbUGhE5HoTgvspECIyfBLqxvuPT8LNA/S0v6V4lTbtC/Vy0G/XufJmkU0r1dLvkoqhz3FDO+IAFBKCXTA6RozBl08AUq1Fbgk81oJadHsxTtmQbDX75Xob7bdyMT8Ssfjm9elE5iDTJ2Fk9k9WXnw0x4eCyAn3YVH1oLfHvyiIFvGyyX4NvtQUsr+NZRquPbb4/8v+Hbzc2X4NswOoT4tlcB35dbm0P4Frf5RwVcOaz91MzuZGkVX1ev4fXnN4bh63EFOr5+rpGZrsPQ4/jiEHqUaP9aZ3/TAj0WFBnoMdJq+Z9Q2nmGG7OaCYSPhXDjw/9LK9/+OcSYxxFjdrGOGGcXmRFjfWEriFG/N+qr1Xz+OkW1wIvOghZ4MUk9tYbhxSTCiynheHHUvxleXFvE8eIV4XgxCvBi7OXw4fjVOj7cg/jwgo4Pw/mrW6BL2rJ6JhqqY6E32usNIeAIAy5+78X6n/n42lygaok6jKjO1Xx8WjWCjkkyYC2QRhsGhMadSnbxxjb94g1/AYkKch0/Qp2kCISZvI1cczYJyXNWowH/uLcXMaeYXbAc2l8JKHlXzfeJddf7+yMpBiKN/fD9at1YgmIG6lfGrmarYaPVuLs+bDXKvmKrMaCQr8bV9WGr0QZWo9OE+Zdbj22r9PU4iiFe2xnItTv2vjdjSd66YGYI/RfPQsmcBgaMxTAO7cu6Vraetia09ZobaOt1+IrLvLT7YKHTsAzFxBoa8b/tvK8Jdw+60Eg77/0GikiWxPiS/6Wd8XjiFRZWACIqVwDSK2RIr1AcUahvPdL5vHJXAwFWkmop0PdfmzXm/Td9tb7/xLzng6Z176jevJKvti2ixe4rXnUJVzJllZkruTV8923/gq33vWv4eov/w+47ukJf7V24+xpM/CxutDropTbkQljPp63gPV/YAk7br2oJp/krzXD6n8awfl/N+/36at7vNxpN/U7Mir5cn28z+jwOz53gzgtjIiJrGCDehZ1PNW+3TupyICk4MnZwzjQAGYcrrWRvcRTb2BDOrzAPYXJT2BAeWcKGUPkzH4Kn6c9P/ZM/6cPogvLmHU0cuXnhi9q96ML1PD41XDSJsD+fMouwJuEV4yt0lZSOpC+hsK0pBRie8bUC/TziZe2NctOlFkdx5aUWxwsrSG0bZWFa3oHepsjMHqjlhYnI+RwGdNeKZhbkEEPnQ0G8N7DO8semyTKok7IWeZdEbpmkNWSWSU9gcnSGO3mTyTL52U9cRRAVxfCvTfQdp8UYCHulnlkm7zUskzN0yyQzSs6wWia0Zo880DCzyLBHuh3bRO9yskemMXuk07BH3qS9FHn58xuG/fHY5e2P0oAuaH+0MPsjMzaeFv1PB1lszyQWmFduoHuYGsXcxxA8cxqYnbGK2xkrl5Od8YpaS0s7Y/N5y3+3M65FQZXZGcvOW/7YzvgpNhiyM+YetaB1cYZycyZ7at3OOHJ5a3bGtcsNO+NQaLb6LfXG5a3ZGT9cHrIzhujjhf+wsr6wsll6WW3SJfbGH0mfSSca3cJOMjZ+YujFvScFSZnGjzOQvdEh6KcZV3Bb40Bob4TD0z38XDnZGXd5lHZuR8O0u9k5xlHM0Ohy/CrO26KfY9zNzjEeihoeiO4O5fVzDC55C7QBtacWuR2/o5URenwUvR/IyvgPdpDh9t8thmE6z0UnmKOQclaQ9sUa9ztdk82C/XoUXyW7PMO64ZxRLZvs2TlVaKn0ONAaGFCoMkiRHpCpZtgHhhssp//HMFhCae2xJpO+A3qKR/qgo8a5hxHYUblGuxmdnWggHfA97oCBQe7OMVvn55gdkyxV7nG17JN4mAVNmAlq83L+ZTJMkQkTI6S3sF4uCbde/getl4d/MNRs23Tr5c6L/916uQq+qH0UZr0khSagFLWK9hfSErRSwm7UJrBwPx+cZacvfUMuXuJG1SfceDn+LFoTM0fDkvz9LN07Lk+2x6Lr1Hi0QdbiyYXTZLx06QF/fNxfbz3tvF5nQztvLxntlMkYvnarU651y01KfO1BYl5kvCJAiT/MUnlf0JBcGCWYLI+MjlW3V1d+z+2CeE7AZrjq9v3BZBeM1f4J1eUx9gQnhj7d6paboWbO961aFBu/5zVhbEpMJsi+ClR0yac8cp3WN3iZbvRtvRv//j6sG73ZZjbhV4r1y0yROScSCkiAr6rhxw6sqJ6WM9EY2lQdzfRiirWwBh0al0YR53fVD5RaSbfEKV+xGNMf4+GDNH8ws7tLbpQCP9ANP4FV9thsHqllO0IXBWgB4SvrK6f3qJD1Kfp4z7xGInAN9LvnfWxwuk29C8rKxdidcaSQh20wjKSJU1Jg0LjFJMfc8T3ap/D4dWDQ8LcAq/WEDOiA6HOTVaQR9eH0dewFEUvqxwhcpUBM13pkbZrJ7qWXUO//rjlY2vCMj1KlDbPQs8cbFDInOgMPNyMTTu3UspY8AV9cIqSrYf6nJwCJmWYFMhmdgGGmPY6CzNslFiUH9iFkDsiInbYj8LSAwTZjKRK1fBzHg+GH4ENxWCXrFxjLhx+QXaPwSJQUGGOPVUd8h/2d3DsxFG9IecCG19QEBgVYWW9xrHojFnP8lnUQsi/gDO1RM5dCVk4JrrC800RT8B60U9jMEsRqFDSBTWMiNafuhXrVZSwM1Bp9bmDKDuM1Y7FMf5+0lMx0v79PNb7EGrP1/j1AVSXviVgE8Gj1awRIb39LZjzs+89PMbLatiz3HeRjUvagme55bM5bEgv9LJ5v1E/E+j3UyVhfLqImEgDV9qBA3MhSTq1lONiGzM4O9XbWSiK2Ehbf7UR/6glaN2OpcYokqHb+nlu/+oOYU24hwhDtrRdEH9rBxXnf63fUe9UICU217sDTNrICpwcml8WG1uNRjHd9vdN78eas2OwXhb9ntc9+MQLaXEGboF/jeyyk9bilzEz3MZ14gMIDoXBm5jP03AeenxF9b1n4u0RIPyX6MXAANeb/lCB10EZoTH37Gxxpqc3tOJmVLbGY7jy6exIixjr1xm9hC+3k8QRh2DAv/YsZvcbmshQpED/xPereP99jUFQKe3DQ29j8bmgemhb91wLyqP5Aj9dM3fgboaNBzvcIp9rUjnpZ1NdoU+Atdl/0P4oRk18UnsjMYOl0lp4Am4nSg1h6oui/nZ6w7WTW9vlFvO3v/83bfhvbjuOmaOr/l1Duxdd5uZf1cv/CcieaTeVeM5f7h17OjeVKdLtUYNB9i2jHDP43BnbQ6SxMjWMRzflkfF0ABQr/jWAffytl90tZxAL6D/orPKif0rt+SazKaHqnzmeZ3VjmfSzzRZa56jXKHM4yJ7DMTSxzCMu8j2UefpcyB7LMgZgZvuZaO5O9quX+6f3t5fbP2Yaw/XPu6z/cP1G4fxL4/pkM+2crLr1cyvbP64xtLj/O6XpOKzH8pijxb+F7GS9uQesqj+I3AFDS7ONssyW1ZKL/aWaixx43MdE4/iTl5v57iH+eqtx8Ez2JMrs/CT6Ce+G02v1rthcms72QwPZCiB+u/rIlj22D3fr4VwaPfVADPJkV1M/HrOTl55nKn1b76eW1aYzkqq9/yeV73BVhZdt9pevNHgy2Eo/yhEQrx70xYH3Vif8mrx9aw3YwkB4gM8664WdmXdqvOqA9WcXBJeK4k2CEUnHI32W8vQ+XPynugnN1e8qeYU8lcvvk12EyqhsQsu0r5nfklku8TVGZQG+GJAKO6yORdP/PL5huBsX7zPbq+q94Uj3wJUJEgUR+3QHrC7so+qNLxis+goCDTtic4uqN4yUl9p8W9fBm6HTp6L/iMrJDuBjyK1XrFQz595nzO/L8lvDt+fpy8L3l12YzfHf+slX4btnexa8u1979O8PaK/7icvtlOrbUV6KrK2D9Mmih1I+/Ci1itHeGva911vXGEj77hb6EEi5hBjQ8vZj7HY23j9Z9WgLW+J0WSzAWF3IiLuEUWCYb697HX7ZYxxInLOWgL3inx3uUuJ7szGgZrGfCiICvE3pai6tBCMEt7CVyZS3ZgTbwArZquE37MyiqZSs4XImLRX40NUO9rrI5+DfnaLkUpambuTHaht3vb3xsuLIsNpF+58Ym0BZIEyRH2bSREprhY4HdXG1J5AfGudvzpuGyr1MizQuIMGrvL8lwRexpDUhZRtMk4WDZBIv+6fIojZlgBsNnq/h9AjguTM+w4O+CWEQPI+RlsXg4r+TDF2YuQDbRUvKxdp0vFvkbYTC8LKGXz8/yxS6m2CmnCwBRxUPO04tip1Pxv0PxTFKW0afljcMDC3jh7YOTBgcXxO7k166MRiieiFA8RS7VOjaH4Nv0RqvV/VoBYsbCOiauFrhICUj+SXKeTsjzwIQMWMJEvERxuclLFfgotwyrOIguIeh31ZsWC5ROwPpUl/y6YtX3+d6NxcoJobmELRuvJDGJFs/aoSBPSByXE7ieU/jpweW++Co9ptQoaElcDbnmRmA54uluVd/9JBfAULQlTSxuqbwRJyWv1UlpuBiycwWi7kCBVjvJ6nlQDoLRwsc7VfEbxBlkbFnCQPvSsdD0IGjspL78gyB7ULc3aE5wGJ3yeUvqe59fMgw0XWEksyt1dxX3pWVQ5io9c3otLHqXxQxWnvZ1sZH31vODCsUf+315CABxcI8JYv8a66JDKJP8o88EefAdQMY+hGTe8L6peVP7lTbMHJyYsgXnPzplS3b+MLKYvlEEG1HZijt9sAzCAc3jWJTSO35Cp6+/raRVzlawK3cBugLG4HZg5UP7LvB1PIvC+5JFdeBElafxcMA095MxmJcBe1mmeMDqVx/TJzzsE+dfNn2i8tPmYKsN9CUPXcRCT7HaHVnt/ebar33KdRNupb/66ed6ovzy/TqIkR9a7JO1kDf/D/D3wM8uh7+/3xiGvyM/+VP04MSnl2uv04Gw9n74+E+1t+hTLg9dQa0AW/nyPmYktqEs9JSpFcL/LeuPuWx/busaxs9d/+f6E33Z9g5eDBvf1o/+VHurPrks/ewU1j/vn2tv8uXbezBc/mu9vQf1+40edI7S26brjao4RzZDbfeJSRJ0EQK1np/PfLHGAqWeIcxs58agRJiGd1dU4s50A1GSi8d7+wdF363k1hdfsZ+Jt7eLy99Blte3R/SfYGT15CasM16KjOJIplCxBKYIcsqSe0TfaPR0WsF9J1ayChuoAlmNIXU1/2QxXTwELFQU3+aLEoizHNdBmrTWMnaxIAmbAScljKW9H0Eh1I+zBpVNpLkbQ7st8CHeHMkYCbpaIdFoE09EJAwP+BKiKEFMDNB75EMmuvFWEUhk40wVkeel9fV9XHn0PaShlb499bDYGdK4BSnYPWXgfH9QzHvVymhCgls4j2fGriP/6Cc/0BWPfpwH97gHsdVB+6jaigR+lgyRrFqzmDHO6yVvfYLod/KbrxfzyyqXcDfy/vzSP3gcg8RuoqS0RYzdf3ggugtqJmPp3tA7u4Cwjcf1dT+QajLctF1B/U+uwdtbPY5KtzisiMYXQU6Qk3lYWo98AH332bdhkjQW5A8Pw3EhqU5d/AGLmwAgeUlcSyBIb83jYYTVrh9yw5crBikO96kuVzfBgMfLkUq/+39jIRgnOsrEV14DyggT3YMm2lke1Y3Ouc9g9BJeDGQrUB7Blpp10qksGoA+SunK1wNGs4i8YyRUd8xZ1wGDY2jDAzOSghSxXrTkHMO/w5UFa5k2fFkDXh9dIwk5eBm5lLw9+ydGqfyB9nSrZlrKFqNHGCGf/KbX/LKB/XPLvu4TaUg70+Wvu+NLmLIxafLcyEwWSsspL4pEBi1NXhA5nZjUBZGknEMO7tX2ofCJ//X8miTXuL2FglR3DJ6kwuOR+jXIyRXegj7OPCeq2iV5O4y93XNb0h0bRG91R1yutR65wpN8QArcB2ik8Wpx9kdXYGubPPLG0qZnYuxvUChByXusSkpuvvxRutLmZ1KrJK+aKHmLEksOvTS0QCg5+JKlsLRp1uAqYH2z9uGVnr67yFm7wgkt4sGIjdCmFHgIv9xRnH3bFfhynZTcWNr4zGDo7VnJe7AGOAuL9b0FpJv0DcQ1Ta0tE0XfaQLXSqewBRbGE3gs6PZeaPNsX0lodCdvLil8YaaznqpueZ2YU18c3ZFJbdZ7j7YVfd8YDYjLpwRd8pbUvGWsUCAjSGa8ueSIN6XZGbhfML1shpfTpsGLJngRYXrRhC/+Ci8uwotI04uL+AI23ZQL8CLK9OICvkiCF43wwmp60YgvRHF5agO8aJPHeg+LJTSUCRSnbqxHbsYwQsV4/GqUfQwGbHvCihodbToF9YVdAxwWmWyjDBcVfjOdxHcHNnD2PWJdInfzrYYOgROA26j10eXPCYCnG+nSbdF3pW62kHeGDBdWtJbEL9vFfLWyLcY1BXei/W8XHYRISzmJvB7G4U1EH9eFGCjLWyo4Hb+ShmPmLgs/4lyAcXgfWcdcYZ9qi46xbpbKWwTcVnVH9bZ3uIJh7gXz5coWOhn86Tt6oI6nmZ8snj3pDHs0uqfuBplUFmWzzE/HqyidFAKKrvKRlD5uRZQcZ6beC/1ZvpMJBx2lcZ0ZFpcVIRxt+g+S0rJpnPgKBpU9Nx/HE97UtP+4ASXjxZgYSxV/yfY8X8QuOwUnvxq7bFoaXosrn3V7G4VnHSkFE1rb34E4QfIWCMxgN8HpXTUKr+e0iHnlGDfRUZT1m0eurHGLhW2JFjizV9k5rsLgUXpH6BDC/gZ2NLW/2zHXjrd7it4NmAXsRt1uwP/fddVWNXC9jxv9AmhQFrzoOXcTHRqwvrGDU7+3MVLVuM4gvsx3KRR9MG92jH4H0RYGdPzSWnILsUyQV/G7QhgIcohESJz4LqqKZ3bkkCeI/r+jmh7Jzkq68faDBkNeQkJ6NcU/XcjBAW+pwp4o1vrtrRDRr95mkLGREVF0CtaWh/xF6V4svAIe1jB+zXYm/FL3w4Ano8xn85D4Oy4S8RHre8OzBZIp+I8SlztBXkajlBew/abEj9vOmKSOpWeeXVva8HRULolMBAO0p0AmYke+J0Clr/m5XxxJVC4epV/G5mqpfv6KL4rb0XbqNBNcZk1gBsvIFrs8+h3a5VdtN7FcEoaJ5GHaxB/ZpKf5a6fjAnzDFgCNg0vg9z34rWUXRQqZXkZvQ7MiZa+iWbFk/lUa57PZaO299UG8dB0+uuRXNvRe0qQCZNZcytcRONVp/pOZXWu8LCGE2+vC2k/ELQs7VbvP8G+GTvmmB03x5vlVioZ/Yoc3OVxsaW6BJtC557239Gg8PzQzveWeN1oGG+Ao5f439fjW8Zu2ARC6KL46bJ8xUiC+xIckK5jCLizWWQD1mzcxahiQtkE/+nEu1N/eojBi0mqdN0hH+96Atob/rEdW0ctHqjuKTy3pd94wqK265V+JfG9145n3byhUIxDR+vTkKjfelkDk+01ia4BHb0Dy/XiAyLfbe6DKk7z2D0JR/xf6XZi1Lx2YR9+VGMBNbnYhz7CRrl8shHY58wAkvCeGjJMbPcnrOAlfZ5Dw3XO5bika16m2EEj4fqLA24VKKXmzB9oABNjm2ds8ArAAO0obZw5jBPyKuWEEfB0R8ANAwBfr1cXlI4JyUd5cTjwfYtQ7h6j3iOZAhhB6RbT7n5DdFMiICGUT5X4Asi8GMiJD2US3B0L2hUBGVCibqHZPyG4MZFhD2USzO4rLH2rwFrTJWxC1mICtwCPUlyEQADTkey10iHTjG2RJxKTa6U3OBCcLYUzwujcQG05v7wB2XvReZ2VN9PvMS0z0q14y3vihkJb3ezA4VPHJloyxgrLqJ/wZqiyAZKKQJhc6c9aiHQslkYzzQWB1q/ByJnihOSGpHnqN75PX6y8lpw+9rpPTrHqmp/upD2Eodq2bNq3OOEeCaIBQtcEQZ69K8DBX/IPnEDX7SGZLWcsQQyFihAQDI8zlGGGt6FdttP17mLd/gkV771zY+StEcFpVc+j73xF9A/6ubjeIMNtTgp5A3P0pW9ybj1cnTJgvCXXpQNCtGP37RslRKfosv+NVxH1vcsuVAPNCzlF27fWyfyFdneCvfX4DEjzvLux7cqU7kBlPnr0gDG7T73yFvo0BvL+M4/3/j71zj2+qSB/+SZtAuKYKaFHQKGW3IEjLzZZSSCCVVNu1KC5FLm1J0za0TUty0ovcCkm1x1gpKyKut6q7K6uo/FZXKotSrsX1Bri+i8uuVkQ9saIoCl0R+M0zl5PJkOPu+/m8f77s1sz5zpw5c57znJln5sw8Q6tnrUsJnifbWW8yt/WxRDM9KIDWaxipp1wbtH5gqA9pS8OmGw9hPWGNmPruBvIcDkOzXQEdrwLYnxxastB7fcnuVmmn8aqyTtj+Dq66a4oh+izVcQ+CE48jOemd2MgDQ2uAg3Yic5Q9nLyzD6Mec3jK39+LdrKcMMPgoIkMLDeCI2blR/tfBsDuKUsuosoqAclcORTs7tvqNDsyP7RbZr2V+ZZl3Wt98UY2fkcWellz0M2f2dPHEkrHzvLnGC2hkWaY35xguSeNILMlJAM6juKKCRpoCeXhVEZ5HDpMsoQm4UOTPBIdDrWEBuDDvpbms33xCUgg08CPnrJXOb1vd6P3IDKc7h2zF9VlhUg2yofBT3qhA35J/RfsNEPNl7nbEnoXNYv7f6hLQOdc2Sl/7jAcVfY4sowPW0K/RTGoNsn8zhIcji6nHEZ4vSW0FuMEwFcbongZxomAjRy+A2Mj4JNSFE/H2AT4/3B4NMZ9AO/i8GCM+wLewuGzMNWwwAx4A4e7Me6X+Z1/NUPvYNQfoUqGdmA0AKFChp7FaCBCOQxtxGgQQhO1+8doMELXMuQFX2+dlsxT/oFMeIvBo5sp9A7ZZeCGUxcv4v0bTf/YgcdM3w9AZYm3P0d2TQbsb9xG/FJUhKfc8g5XJdjDxuER8L/ZQeoiosSRR1EvBdeQq1fhGrJmNa4hXSiXSBl2gPnvSOd3dAdUbHHE2jDMsstr3WomU/2NKfmow4zeVzOqP5gRDHYzrA9aB/NGYzoEo8GniysHW47I6rn7bRS/g1h21FAk+xyQZc/UNgNb0aFsFIxF79vY7sOmXBl4RNpKqpct1Jqb0Yatudve5qw58BuoWc6hPJhBR8aUvn0LLkf2XHOgKqXnMrB3eu6n9f712nda8HN3UV33AFs/Y+bsK/iEN+atvMzTluAHifQrFOtNsrEWrip0jtkDlaNTIcNTtGaEao/ZZ5Xs+h0XtJLe9FbUYNfqviP3k/K8Qwx3hXRARrxFx8yUj1i300C3CDPnK5/nKt87wuPaYPoScfAOs0GUvT391dPh2HWrH2H/T/fz61ZhYhBMH8lXvtdUJK91I1YPe9M01KB9AiKgli58//8r2dYvdG8inQiQArqA2iLWvIVo84bU5FxCPOs2H856uEccalMO4VE2JuGI/SRb3wK1eWTH16DzkXPoRzkUfUEU9IL89Sv8gkVeRyqPKmPsMMXeahwQmQDrWUw/vUnew2dQsuAFg+VeHyxK7ow8iH1BH6ftTCm06aixwdMiH/43N/7GBiBzldCIQim6YQocF5MddMnWuKER0E2N3PVvyLc38h2evYTfJfSk8JhjPpITe7HGHIThx9zMA3mWOYfi9zEsoUO4p3dpP8P2Jt3cohk6d5uxohhT9IySfOzJM0eKLDsL/eONKW2zwenBUWfwSwP20WQgq6RJj9tu2b4R97jL0PEa+XKHZfuevMxOy7qJp+AR5J49lYOysOXgvjgU/pZW42V4g7pfoASRq2FDU+UCrFzvjHR9j59a3x/A2THt/UT6QymUPZGpkNI1Cal45sHokIqB613Ap9IC1BfAZkV4xDak1NcoRKmH7iAmxufIdvutQnT6OB70yANXoOiZRocr4Xs7Vi5kXRkiO2DFDXl5vovAFjyonCYYOFDIwEHklm9oVxyfkwt+LrB6Ms189kuibwN+APV6vIuolwPR4NeoPvrgCySFAT/yd3wWNPJAgkQ0HuWm5Q6zguejM8mK55TzKB2uOfGOb6hgl2OChwSu6IVgHwgOQMEOE3a++BMesJKfQq8gSl6HDjtgDCzyIYSw5fgeXPwvOPg+uvUOnNkOiMZ5bcNDaN9yLyMe7HZdZPamON9v533wvaaLTvlrNZVuxx8+mjqwtgWSUEuktHDz/UqdriZRf5sOkH7yKFptUKO4+U35Mq6XzMaDTP/zKr4EOqnnqTb8vQe+9eDPPPQz0lB19H3cbCX4CB1cmTLUYHlgFcliBsnCEbaiytEe/AlVYWDB5IZXwdTU7Hp4AWCKyxMtdLILbOIZcAWzO/ajsuS7TljueZ8shn1sPxkx6zcrPL1dvfDahYv5nhNwE3mJo7eguFO5qNVtgjvo6Qf9CPqx4BvVfy/+WKDSjwWL97J16VP21KHaP6WFzIoNLEHF3fVnXN0W7ieyRaIeB4VWkMWZ8zZIbrjT9Sb9IhR+pT8W3hlLcwbMn0BiQuWlhTp1S3Dr9bg0ETKIAMOmXn5/y6bsw/twNTEFVslefTG6Xj777wHy/cKszm8hzldmcc5XhrTQL7x2ZV+pXZHCg1pRRo7MTyzrYber0q5EiTh8jGzi/T2kv4ld2WCjHWz4eSkj1IZ7aVYoZ1hEL6eMKLV30emX2WP3gdeptH3UPL81AWvKk06l1/7aAOJEBtnlR8FfRF9H6yxzTubBHMus3Y7W3Is5YL/MS8DLOJZl3WQJQXgLss3not+semR+LwGv5D8i0/wWTJBlXg5JjCRpVj2yy2fjJEZ5TFY9Mstd+MgkX51Vj6zyfHyErPJMnDqZFM+uHLErMPb1rrPV+LB9zGFilR/JUQ7ag929PTf8zPhEcA+yzzutdui5KQZsoEvEQP8MtWqXo5pH2ZM5GZmZxTARurXYYIdPHFPxrOjjWRBxC4lIwBEjuYh0EpGII4xcRDKJMOKIHikaAcufUYQJRxzhIj4nEX1wxGtcxDskoi+OaOciXiERZhxxLxfxKInohyL8PgbvIbA/wMUEygEEBgDIo6AUgYEAsii4A4FBAMZSMAuBwQCGU5COgAWA2aF0Z02+V7aCgs7BG0Nu7c+GRbt3o5rxZag4kWo7lFGRX6AESJfkIbNbjQlQ+TeQhgNmpIKttwPl0vMBMYIjBljMvAPXszDpx74Tz7Xebt8JL0TPS3bsnydyDEdBqp7H7DtwXXwQI6jYexT7TqjHe9bad+Kouuh7GfyqQps/SOafqanN3NQzmD/YmnMe9TfrovPPzqy7ZP5ZBZt/Jmvzz2DGGcxNMqtTQ2SymV050DRzvKX5Aagp1hiQ9R0iFeqq/8FVU144I3g+kTwvusatdzmrTOei5jX9CPhsItMJW6d8thzWvyGMxQNG4uu4drwAQ5XXw12gRkKucrZW9fQ6w3dKyAYNeKFZKoTJIcXpJyMT2DxNNnln+jqo+LvoBE4bcfFEczwUojleBZMKWrPl5XiK7YdrwWOYth84yz3yLnpwbTAXrXVlCmpWhtlw8jdgrpq6fy0IZBWeUWBVb4JFMaXwTNrIM8+MtpfRqQ0bgmRqGzwWG2qPRhhWZ8KUTG3sC6rWt9fRNTSoxelqTIcZ8++pc9bys0TI92SF7Oap3hATR+43/Qxqdo8HyUyKVlP7S2QygpKEc+7ZKsyXcK79Ks1AZkdMdiqLj9I2qlpVP1rHNaMf4m+YgVMOJKLJdjCeH3gdI3c3lb5950XsLmlVL55qKq3DemhXulDqBEsz+OvBnxbINpBz18ICDOgzDlr9Brl/pDCmp1+E0u6/sMaRYsPLMopLw0l4bXnwx4vyCHBGScwEp+Fg1rBUONOSv5vNnDjxIplHsQeLMzokhXoiFWy3DZjqwNnYMiwf3NkfD/3tBlW14s/Q4F+r6Q3yLSk0zMBNdoCFUOFXJsKHa/S2JKGKHSaLsdh9ny6/PjQRzxXEq7RszccsDyw24l4gnbQrw/pKOaXWqSCru8cwGgxtMv/XJPU3oiINPUBckKF+C/Y8R1KEQwfguzxMh6t1jjkESRqYw62L6tOr6RrPBTC5csxe1F8wYk9QPcfwOldoZbHcP1wDzau7Oy+8qjcvHDilmSTdq8nU6WpUMyw++ib2n5XL+XFKayJ+nDK4+ecwr1j5ESQCt/kr4tBYOYRLTe/RkVKrHMSFZf7+cHm/W0Xs9EHgQM8J5fwU+ue3ror19zcbuunaWjR4FzPAI2RGlyNlOnYtMBaVqmdLdH3GvBQr7NHuVA4RqRGREnHOoi7JyDMHBKKGvihSJpBrcaykiZArYJnZAwkGfogTugyol42NGkeW1dI8gI8O7kx0kg9JGWQy4tRqVFLrGjrijV0VRE2no0ju9L11KF/kKgfUXzThWoy4arMTb0T/eJ5sbqiUpuRp2nsx6S9pWNKlKTbyCoSNZvBvBfOG4IYKxfnm2H8h1Ia+lVRfPAlYX+SB4MTwY1q/xH46zlOmm9l4M9MjVMWsX8U0KXAKtCny6vmovYiePbobh2JVK9Zgb4RXor4xmOKcL7bQRgN/qVaT6Xm4py4jLO+X6K3JKTah/NjB3J9WEP0ZhnUdal/QIVZ+NXEF06O3sR6d+0nUo1oQZS3SIxnr0XF0Mz3tsOaskgw2LUeAe0oTV2GvBE4sEOLHCBWSzeFs9pMH/e4ylNVNsWf2rsRLwB34fdkNs6ugOrM2H1u9HGcG6qrl8yEMU8xLsUW2wzc/1P70XqrGc4ga490yzrN9YX8+XT+aDifC7weXEL8AQRV7obFGPvoJj3cQTe4KEU2GVm0yrK5/vlFbONrEFo4+ee4/vKP3IAlE5qJUbWpl9HzYNxufX3QuzrORuWdzM5wP3sjg+6MzMp2fP5y9z4NS7FsRI/LmFfhD0yseXFvb1N/HRpeR6OtItEO9Jzb6bCPzXajsge0vf43ewLiCYxVK5Llz2jqi7LdQQ6NOjs3xh7ujKgCZKAegWNBKyaAIlvUwz/XSB3gzzf7Wc5f0v9n81xV68yUTvDHzJRMb/7v5r3frrh96Pia/lxviz7/ENiZYPcl4GZH66N1RY3Q8snqMhjVZ4ezlz9L1MWQ0EpYHYWvmX/XURJuQfhIM1XxylWRFXbh4L/n+32Bm7VF7Izg96dmO/Tyarn8Vf3XpUvuhPNJPhjNUK5JNXqvpYLkkvXZuGFxw2HvlMFQHTrQWPoM7279bAnUaDLsfR5fqCYvy+Gejrny3xMjjmfr460PWfrWZzjwdB018BbHamhuZFyzIeAjY7bXIEB8XPG9acw2Y5LVgIyer+fXQJENrU+Fcuw9y2gszM1Gzv1cz0l/BtSr4XG2im8GRJVHIAlvdIDqkGKouIyyZMWOKOp8gKzPjlH2qg6DU6JlGNa0BKzG4bwM/T8HzfSzNMOuQn58NjWpzZ+MVPRPpePeKAB3vlonHliQy+wdWQ6uWes1/7a9RLHEMDI4nULqhqKYHvy49dSTNFfIkaKRmOg37e7p5/z8BVs//Fbs4O4cf3znUNU9EWXbgLMccxe7evqOLVgqQxZ1AFlBjDxfq9gYy4FAYnp4Cy2BaYUgWHOmibiJxJTOsjjaW+6m62nAvbkCb+qhMhiBBOYzaui+bOiRA/WlF74r6D6Z+X76T+fYL1ifCrWnt12w5tv165oJYRzqhjoSy5OE68vp6aL/QXQwVksWs3/8J3UjkcZTXLqjU1VV1ZGf2AnTn6UdgMdjz9bQ7ho0R9TF4REj9CsG+Cz3DXlbiPQXquxuQIdQBeVEvvT0W8tyDfiIXP2wUD432BdUaIL0JWDcnL8wDXx57e5KontxB09/IJPSFeshPJPSpPBzJCEkHlWFNd+x8mTxDFSxCggJmLgKXc8Rh60X1Ux+60dvxWDh6m2BIvyH9GHiKbaK7qbTQnSngZYk8gPd7WcFWzqk5AdzYJ0XGnf/59Qc7A7rz1R+Pnf/u/w/1JVm2rFYGovWlHdWXAw2rUQc/e7QLyei9rXhqRBb0SYe9UYx6U1aJDJuh9yr9pDrBj19a7AQ6SX3q2QvY7Uk/cuUMXIeqPcuRXmWoxjrcAv5zKZhUB1D1l4jkhcvS81bM/UZv9bAc7b8WkP5rrth/RUZhf5RshwW+9/VDeokdw22XaacWxnyV9ywb96qyj++22qL92YUxEfx67iriiztZdcrEuTIUpC+IKGFNKnkssP7TR2pMSB1n/SeMb6Ry4xtpuJ78tR8vvf28BAbrupzhnCS8wOqA+riPDMPK81H0kRIyz7uFwaUIHqTQz2A1grsoXEJhoAF6PN3LL+BPCakwvpCG/YC0IU78kCfGRqbT8QsUj9Tx89qYSLI4mu6HdxF/V1X3xib5lq07U86gxzylBI90XBub5iB2uvdVqibfZPy9UFV9mnwtoUdNePB8IOrttyUS+SHB2sxUQHk1RF3BHkami3TGloosu6km7IkOXXrYu8VkyGlSLbgsorNxP6b6q44kNEGjfwLal9BEjb4A9NsaTI0afQroMUJNGn0c6H5C+2h0A9CXCO2r0RagjxBq1ugaoEFC+2n0bqDVhPbXaB3Q+YQO0KgPqJ3QgRotB3oDoYM0uhjoMEIHa3Qh0IteTC0anQs0QmiSRucAfZ/QyzQ6DejrhF6u0QlAnyV0iEZHAd1A6FCNDge6gtBhGh0M1E3oFRo1Ab2N0Cs1+lMRopmEJmv0LNBRhA7X6Gmggwi9SqNfAD1bjenVGv0n0E8IHaHRQ0DfInSkRg8A/TOh12j0daBPEnqtRrcDVQi1avR5oH5Cr9PoFqCLCb1eo+1A5xA6SqO/BZpOaIpGHwJ6NaGjNboeqKmavKlWGAD8Rr25mlVqyczBQ+pe1t+oWgz+catwfe6BcAUJl0N4EQnjNAUkvAzCDhKuhXAGCXshPI6EayBs5dIMJeEAhM0kvALCP1Xi8FoInyLhJgif4MJHSbgFwm9z4U4u/AoJN0N4CwmHIPwYCa+DcBsXDnHXbeB4FQkHIVzM5T+PhB+AsJOE74fwdBIOQziNhBUIp3DhZBK+D8IDuXwkLp/vl+HwgxBWSfghCP+ThB+B8CESfgLC+0j4aQh3oHBkyAW6/vUsfn7w21Sp1a3NL/5IPkNbhfEc8n346Hnue4BT89+QBpV6BlmPPqRasyssIVgoi5TJiB149TEQQ9Gs3lZJdgb5O3FkOHCHJCVJb8DuD6jx+K4Ke/kb+IaZHB9Hx6+B4UfelNZh4wuhA4ZtEcttB1GK9mUX8MwkGbqy2UcWoVK8g64QPJ9gCT1GOsLIVBn2w3zscOMkzQedrpYt4w2Zo09cANeSAzVrZ9ie+SzldJIyiaR88Qli8lyxjH3fSMML1KmLBLAzeyqI/VON5T9+kWb/eJj98wZpN2VwmDCbtXOlFWxDB3kltHGyF0ofLTIu1g2oWOpzHrx/A3Qj5iF+Rs30iMVP1Iq/KiYxbh2RHdfXQ95+W/T7BuhDwTKiFxUebXOJZvgSRPwfesjjUe/WTh5/Ebfv0e9DGaAPNqIPiZVRO/Mq/NUHxvVH2IMXjGvG4q8g2teigxVMmhkgTRv9WkTnb6OOjWZPwbwZ8tEIGVWGZTGdT1Ri9WsP6Xtqngvtyn7Lq31hFtn7EtnGItoNVWsroL+wDxXJRPzoQIcUWVclhVB+lFVUPx3KN5wPRTN6nrPR1bmPDSfw8zOm5DefkNPtytfpJ/OVbrahQu4YlX4iGllO+3mwOk02oz5HXuZnvr+BGd98RDbDnKmrIKfw5BQyCHpSva+CrJJ20pkl2vej3fD9aPr4QH/8pQx/T2BOLDeVk2EOS6gfdgYHq/7hK1PkPPNHo84uAz1FXYvWOT8Fe0fUX+FsHWSBwQqXca3TcPBiN3nfw8RPajPs+qVOIJXKmgWSRB8eaPaYMq7A6rHy2OKuJEuwCyOXw2f5NuK0Ft6/CCyAbAM15bbidYCDEvTwxuEu50vo1iPHYvaHiHkk6OI7K2Iew+JyPIRA99PDj8PSXA3Tlv5I6j9nqyn9oZi1s/A173OtfgM37th/+oNldLlyeBrdi6mJ96cyEDs/If2F5ApuwS/M83AGs489g7/rDCJH58nRRebtZsds3DkcP3UD/WKFndUg0T6eB7NE8lF7C3miAJ6rR/va2cmgmHexmFlczAvoPNUGVc+gumfwflmhpw3UOU76MdgG8yR20YLegJ6boP6ZFTZ25IZXSXNvV3Y7lB+h2piyDS4e7DKoN6F7d2Rlj0M5Fd7lr3Ku3Yu/h4VNU5+BYoeSm3Lg9/7kFtiaKbwxuQ3/3p+8Gf+avngaOs7v5Br+BvOhN+LrpL95e8+msjZtMev7pcynVAbrRzn3lrVdcmd+uLOycviUN7/T2XxSXrX/1Pw34bm2YE8Ju0+P3bf/3ALT6YXYuVuDd98np8e+s//ckt24j4a9vUABYPJd65TqPPiwgOc/qXPdVJCzucuF4HJny4gOp2I3P5F8fr6mlil80oV+pRr8zOA8rDr7qXDlg/tPF77Z08TtDwU7hqH44HGDs98hSNK5/1xhZ8RJ/WLG3C84K0JGza1gD5aRW47MvMjrP97ti473wY5IW+h2STB0p6534wqNOvZZlDIueC5xzXgq8i/UYhcROT0rTM7Cm0LBniukfVe24nln3OhfBx3920ZH/zrZ6F8TeoT5YWh9lf25eCMEqBuD54zydbngdrlppmRpzoItAc6Z5MGAUjGaC6sUd8E7TwaJCkujfTzY4gDRBEmdVcpGcyyhgj7YF1PLR7BYED895QY8FvY67tl1SZBZlw2/9nhIrsyhzDaCW1wsVVijARXWLlLFTB9SpqwcYsztcpjwiXYUMCdSvTxWTOYe3YxbYdREO83O5jdh0aU9KS9cm5SXeUoeG30eueHVZvDu0Q/f2bvYP20dJAp8Rr9nQeN5D83UjjPNYplO5DMdvfY8+K6RR8ZmOYRlmbU8KXCiDdVIxuYjgcGoUjn1JK5UwFdW7q5jk1/9+7qPrp6N3r4NT0qxey7JeeEp+xDMbz4jZ4PmFGBBqJ3F0N73Os+WphQ6PXkpBeCV27n7y8udrcbLYLO24DVIvLljDjhgDeUFV51pRylIyfUD3vrwjGpxgT0nhy1KvgHs8yIyFBuqv0gc4u4qggt8o24vgrp0K13dTjUpTDWL7QZ7J9TBbcyV8evE12v6EXh4ymzYfQzZk5G7WPuV5zqvtft5KUm/ajWey939hTG430Ach5wooXO8XoMeYBA0YXaXIxt/9yuzK04j3kDDrqAH2AfEe6viyJZAxpZmGZqLjWx8w3VeG3/KS0kWrpOkrqTXSSI9TXCPii+GckaXqTWi7PF1DRJ5jPg68NhzMw9YQh+heyaP3dL8J3A3/c55tj5U+Ti9s/nkmrTInISf22oV1q6iOtuMsxsBk8HOzOkzXFbBGWtua5VJCufAVA9UJLtl44FgbyIyYuxmlHZaAlgX9vBMbbw8Tf24iG5c8gm4LHzVkZI2vb8ldAIWWXzdeqehxTG5IHh+BiLwAn7Qswfa0y6T+3EyN50so5qLq9Fn50J7VIyt5fRj6quLiSK8uPi/UIS557j5e8xWG1qMa4PmzjVjLaGt4Ey1y/TVY+TCEVjBzBL2FMEkgq7IU8SHLNP1v8GVO7S3BFTegWzOGK03HMZf6U2bUb4R5znwKZ6ynn50wD5+XbQnU/DGNOw/YjHdYgW8JiFDMwTbghyIlrkYxNm6ysB/48grwrY1llVrAZbVigLo/yKuRCC3NGzC226lo6/qjsWsl5OGEhdB4i+WYIvfGE1+mZY8HJN8GiTvQMkj/gt0GQegyAJ0JF+mzlhE39gm3PicUdQDDmMBVLXNsEgBvX2hM4G+oFJJ8j507sO56FzYChB/aEO21JO34a9cz8CPxXEKLJHb8MJMxxJ40vnREeRhJXlsQxt1EStiAfgdRSdEYG8v5Uvlg0jleVrM+3DO2Utug/YYCxolx4v9FgE6gVDkyfPR5356MRZs5Gk8JP8fVCzSiyuoyNJzoj9bbjzaviQ6Hl1BxqNLYsajjSlItVdglR6YAvOpGm5GIvnNfcS8DCcjg2sgbEB3lCaB747XQh8K3YbyETr3ySUkApvqG/f29KX2EczJenmhnj+4Qq3/zfe3Hlwc7W/BoLXRuGYU1MGVCy/pXBXGjFcL/Svcsv9hEelaoTcOz8f7gzYf7zFt5p0pV6Fz8qw4zRNamo1krkWjQgWRyne6bl2EP2ikd+YgY22AI3P8gc2w3ue2/dirWHhYeDP2K5PCnA0mkYFj1DsaoHQ6wuPWwS7uudEeRvrJyDDOPmOX+d0CzecglC4E3rtZXMsCoipuxF5PptNbkpj982Ue2UjoTwu0+UP75fUwdwXPHxqwIHb+kO+S+UNm6MSY0T0MxJ2YLxfGzB+K9h/AgyTuPxxdyM2CSyNukR97mFrv6B4H4m9jl8MmdDCe0s9A/S3S+zkQhOkTBvzgXiiE5ih7CT47CK2Ovete8K2MZw3BwMgO1ttozTmf27oYu+zJyG+V9ydTeyWLVG5DFkR3mIQVcqheywk/a8WdTGdwrxkJtxcXIHf3CaM6pTCmqrtVCU1PxS7bst/fpJ2oWlAqSA7RaST6lU2w8AwXEbVkdgWH8jJPywOyYQsIyz34exuxxWWiwsT8Tj/WMwjPO0NAm2G2uvAS55x0XAaKnJv5kaUZppz3vFjGPQ/wVPvnh9h+reGFuI9bqoG7CRiiAQ8BezYyUEjAcg3MIcCqgakEvPcgA6MJWK2BoQSM10AiAf/8DQPf3UVGEjXwCQHTNHCIgAjrVKq7CNisgRcJmKOBxwk408bA/QT8XgMrCJingWUEJGpgAQF/Ws+Ak4ASDdxEQJIGfkHArgcYGEaAVwNGAkZq4PQCDN5uZeA4ASs0cJiAsRroJODD+xl4iYAWDTxBwE0aaCXg8zADKwl4SAOVBDg0cBcBp+9jIJeApzWQQcBcDfySAEkDVxDwksKAaQE4JEfqa94rSact1/yI9ZQc/v9//xf/kK0gFVJXPdA9bNrY5JyXlHzZb83fW1va+9WslX5zlySFpMFNa82XmTflsvPgnAXo7y4hv4X0dxH9XYz+lqC/ojjXhvV6JehvaZy4Ui7sRn/lNOxBf8u4uEr0V8UdV9NfL/qrQX+16G+5kLcP/flpGOYJB7i4Ovpbj/4aaPhu9Lfiv5DlSvoLi5xWo781QvzFQ6GH7tx7+dfzG/9WV/7yHz/e+5cdY64tfc2yu/Ja6yqH5flVjQ9MeGhDZePgncdn/3D1/tt/ePiRnHukG5L21r/w6sCG5vdPZ9w4t9G+3nf6dxtDj8z/fP57a7/NumPkc+vXPnr7laOO/7byl3MO3ju/q2HfkxNf/Pjwbd/PWHXn1OdWjHpu4K0r3p155TWHH+/+duTUx7e/u2n+N9brl7/wtyfG36c+Menq+tvunPGHZ0fJm776uXvbgrpDl8fhPxlgwPHSf7CVYLz0SmJ8Xq/Dp+jkc6cUn1frlPMRHQ5lt8bhryXEv681Otd9Q6ecRTr3tUCHp+nwB3XKv0nnuo/o5NMlxb+vzTr3laOTzw86171OJ31dYvzr7tfJ50md8kzUeS7v6uRj0ilPm076VB3+qQ7/h04579bhLp3n+K4O36CTz3ad8qzUuV+rDl+hI8+FOuX5Vqc8Bp336Js+knRZHD5DpzyrdMozTCf9Jzrl6dIp/1M6/Bad6w7RkXN/nfS7dMoj61z3aZ37KtPJp1TnPfLrpB+vU/65OtfdppNPqp5e6eRfqZNPUCefr3Xkc1JHfz7QSf8bHX5eh3+uw8fp6LOsc7936PB/6b3XOnK4Gf1dH6/8OvL8UEcfzuhc9xodvf1Ap/wdOtcNJ8R/Llvx8xoudWckkPaMtacmyrNi+XiavnhaLL+Opc+O5Q/R9NbMWP4XI+UzY/mLWM5GybqVdPKfJtHSYJq/dUZs+s8SCW+3x/J99Lrtwn3dye5XKE86zb9dKP9gVk4h/0aWfnosz6Xpi22xvJzJR0i/nKbvFuTQh5VTkPPTLH8hfSvNv1jI/1PGhef4DruuIM+nmJyFfM6x6wrpf2DphfzfpM+lW5DbcPZchPs6xvRKeF5HmJyF/JtYeuE5dtNytgvlVBgX5FbGyiPkc4aWv1go/zx2v4KeXMvkKTz3DHZdgc9mz0XIx8HeF0E+i5keCvlIRUXl1TXeIr9c4pOLiqSi3Hn5RaVun7vc45fdvnn5s6tqvO55JUur3CQufkyRq6GkqMzjLany3A2Hbp/PW1NUVeMqkT01Xqm2pqpK8jf6XTXeMqmm1u2dOlnyuUtKUUqPv8Y1cRK6vk+uCUAq2eeqroWfKrdXiEfRtXAaOjvgr3K7ayGTKnQVaanHW1pU4vOVNBa5q9zVbq8sVburXRU+MQfJ7yl3V9fKjX63DOGS0lIaqvXVuKpL/JWosH5PQ5G/tqTeWyvVl3jkWk+pVOupdUtlLq9chS7OpUA3XeUuKnHBbfqLPF6PrB+LrlUaqJ34swlcVTV+t36KUje6jZpGKC+SteSvrfK43JLfW+vzeOUyuGe4G/Q45MZad9FSeAKS31XhLi1CvKSsDArYiGWMRFMGQqsr8XnwM+REKDA/EmCUVZdUuou87noxbblbBhl7vOWIVQXc+HmjpyNVVyJ9qa6Fh+at8ngrpeqAt7qkFh0tjSmAX0Z6h0pV7/PIcOTzgiJUkwcsKoq0NOCpkj1e0LQan1SNMkQXcJHE7jqkAGWlkAeJLkPqLaN4VCSPt6wGItD/pSq/210Jp9XUNhI5+0q85ejabm8pHKKosqhksczQ83FVFqF7lT3VbqxjtY1SGb5siQwnIFRdU+eWlvtrfEgXArKfSIyVt8RXXic1lPncbqm0Cl4F9ONvrEb/JUUtrSIq4K8IyKU19V6pTPYFvDRz9BADtVpWZTW+ShRXBDKXsOCRFEBAAZcsIV1iCUmcu8HtYpEcwBoUw0GIMcDjJ6oITyk2AmlTDKDqGcOQEni9bl8M8waqS9DZ5Si5kGEpKpWPxF9yQrycXFUlnuoYUo+kckkid4kXCQ5eZiEqTiHw06yPQSXomfPHNb5S8RKgQjG3jd/QGITVLe79xlzeLaMX1hevSLUVjf4YjpStrLTIhWpBOfbJ+N3CtXHVFUOgRos951JVqHP7/B7cOoiPAr1PsUWp8ghihDo/BvjQa4namJqAjN6KS8R7iS65/S4f3LOQtjRQXYuy8geqxTuW4+GSpeg1ZAS1S946jw81SFWepa4b/TU3TpXm5OXOml1kn5VbNOdXd04smpd3B0UTb5w0SQvepIUmZmjB9CnRpFE4OQpvjIYnRnNIT4sGo5TLizuLx3inKGi9E5F9m6j9j1ATDvfRWKLUVwuRc8z4uB93JslH0tLBt6oBKDU5HkhjWOwg4bxEaTD+r0VLZ9TSQj4QNvw//h+MO1iks32ifZpRgy83wpGhL2Evb9iEYi3SUHp8pcczCFnh0rX0uAXHD5LG0OOH8PFAaTI9HoLTD5Bm0uONOL6/lEuP5eGefhKS4jx6fC+ON0vF9LgNH/eVKunxw/i4j1RHj4fh/E3SWnr8Co43SmF6HLgK8k+UNtHjDhyfID3dl45jjSf2m5nev40GNgt820jy2y7wWsq3CJwdN02K5dJJ0o9qEfjvzxDeLvD5ZwnfInArzadT4FU0/UGBr6O8W+CPUq4K3EnzlybH8hdoerPAOym3Cvx9ylMFHqHcJnBDL+FOgTfQ8hQLvD9NXyHw4ZQ3CXwM5S0Cz2TyF/gMmn6LwLcw+Qv8dpr+oMAP0fTdAl9C06sCX0a5NEV4jpSbBb6ecqvAf095qsC3UW4T+C4mf4G/TXmxwE8w+Qv8ox+o/AX+PZO/wA/T9O0CN/ybyl/g+2j6ToEPpukPClz6mspf4FfQ9KrAR1MuTY3lUyk3C3wO5VaBL6I8VeCptDw2gVfS9E6BBygvFvj9lFcIvIDm3yTwR2n6FoHXM/kL/I9M/gJ3MfkLvIPJX+BdlHcL/F9M/gKPMPnfFMt/ZPIXeC29X6vAh/xI5S/wLUz+Ah9L0zsFfoimLxb4zTR9hcBLKG8S+GrKWwR+/nsqf4GHafotAn+W8k6Bm7+h8hf4azR9t8CPUK4KPI3mI2XE8kLKzQJvotwq8G2Upwq8m3KbwL9m8hd40ikq/4z47WaFwNvmE94glpO2c006+bQL/CHKt4j5P0d4h8BZ+92ZEb+97hZ4iOavCtxGy98rcNbeS5nx23erwGWaf6rAD20hPEPgzD6wZca3B4oFXsbkL+azjspf4MyeaMqMbz+0C/wOJn+Bp9Hydwic2R+dmfHtjW6B5zL5i/Jpp/IXOLNXpGnx7ROrwPuco/IXeNODVP4CZ/aNbVp8e6Z4Wny7pULgBU9Q+YvXZfLXyadd4OOY/MX851H5C5zZT53T4ttL3QK3MvmLcniUyl/gzN6SsuLbV1aBX8H0X+AFj1D5C5zZZ7as+PZYscAHMPkL3PobKn+BM3uuKSu+/dYucAOTv8DbN1D5i9el+Xdmxbf3ugX+DW3HVbGcNP9egTN7UZoe3z60To9vB6YKfFsblb/AmX1p08mneHp8u7FC4N33U/kLnNmjTTr5tE+Pb2duEXgbzb9D4Mx+7dTJp1vgrzH5C9y2lspf4MzelbLj27dWgb/A5C/wQ2Eqf4Ez+9iWHd8eLhb4M0z+Am+i+TeI5aR2XlN2fPu5XeCbmfwFnkbz7xA4s787s+Pb290CX8/kL5Y/SOUvcGavSzPi2+dWgQeZ/AUu0fozQ+DMvrfNiG/PF8+Ib7dXCLzzDip/gbP+QJNOPu0z4tv5WwS+bQWVv8BZ/6FTJ59ugc9n8he4bSWVv3hfTP4z4/cvrALPY/IXeMFSKn+Bs/6JbWb8/kixwKcx+Qtcovk3iJza2U0z4/df2gWeyuQv8G0lVP4CZ/2fzpnx+zvdAr+SyV/gxTT/XoGz/pJki98/sgq8P5O/wJNo/hkCZ/0rmy1+f6rYFr/fVCGWp5jKX+CsP9akk0+7wE9TvkXMh+bfIXDWf+u0xe+vdQv8E5q/KvA0mn+vwFl/T7LH799ZBf53mn+qwDvvovIXOOsf2uzx+4PFAj/A5C/wWpp/g8BZf7LJHr//2C7wnUz+ArfS/DtETvPvtMfvb3YL/GUmf7GcC6j8Bc76q9Ks+P3TbRMIB89N/fl5QBwfz/FOjt/I8YMcv5XjhzhewPGjHJ/P8ZaJhKew+oS1qwJvY/WEwJtY+QXO7vugwGtZeQRupL+qwPPob6/AK9h1JsVyG/1NFriT3Z/Ak5naCZz9cwpcm9uVRnhfOjeT/TNzPIHjSRxP5Hgyx438vD+Om/h5ghzvw/E0jvfleAbHzRy3cbwff78cH8DxAo4P5HghxwdxvJjjgzlewXELx2s5zs+fa+A4Px+uieP8/LkWjg/heBvHh3J8M8eHcbyd41dwfAvHr+TndXI8mX+vOT6cf685fhX/XnP8av695vgI/r3m+EiOd3P8Go6rHL+W46c4zs/L7OX4dfyLkR7l/HxKM8dH8frPcf4dS+b4aF7/Of4LXv85/kte/zmeyus/x8fw+s/xsbz+c/wGXv85Po7Xf45P4PWf42m8/nM8ndd/jk/k9Z/jk3j95/hkXv85PoXXf45P5fWf4zfx+s/xDF7/OZ7J6z/Hp/H6z/EsXv85Pp3Xf45n8/rP8Rm8/nN8Jq//HLfx+s9xO6//HJ/F6z/HZ/P6PzHKHbz+czyH13+Oz+H1n+NOXv85nsvrP8dv4fWf43m8/nM8n9d/jv+K13+O38brP8d5u6KQ43N5/ef47bz+c/wOXv85Po/Xf47fyes/x38t6f+b4G/0Tyh113lcbj+EZXf1BFdtAP7SJrhKXBXuCXhS0KQJfphJGXtemX+Cq9xXE6idUO2urvE10p8bqzzVHrnI4y1a2ii7/f85fcBfUu6Ok14ol7em1I3/M7oUygczfCQ652yaFeZi1chWVwXMmLOOHw/p/NZ6j1xRE0C4pKrK4y238rPCrGUe3/+yd/WxbSTXfblLUQopb3QtepATN91cTlddYtqy72I4ipw7ilyKlCiRJilZtqxItERJjClSR1I++aAkbnlhriglXdPLxU0c1DkYQZE6Qb4QXAE3cOGremlkyg2C1H8ckKQIDtfikB7QfLjtldPfm50ll/pwC6R/9A8tvHwzOzNv3rx58+aN9r11vnAfPtT7Wzw8jc4SmakaB2r9Gv6A2kwilU5Oa9OLuVo33PmyVk/4AGrcOSqVzZgtOv0+jfNLQwF5Rj7xaAP+XdptoUMb8+m9w33jmt/AWshqC6mMJvy5tA7jydzFvEbjQd60rf3h6EB0eGgiqseGB/WJWNwXHo5P9J6O67ETHen0olnvyLFDRw4d0Y52HT3W9cEjH9Q6o+glkChoRoH7qNg83OHHNPdMupA9kVhEl+6ZTNZNXphTBXcinUrkiTvGw+R8IlNITblTmUIyRw6mfHTumSx44Z7JJeaT7oUsLzQazCcKc27ux4t8IZdMutPZ7II7Nd+YvQBB4HgiQa/mPpU+6A4fMaA7kXdnkslpEM7zvfmL8+ey6dSUZuWjHo2Go+PdmuEMKbjdrXXknY38rtcDmm3VzHrmtJziToAaCOO+pguggWYjBbk0Z+SgNp2cSSySg+QszVY6O8uLu5w74OvId3fw7rb27Dzxm17GAP6P0EhDfHCLWmeEhK9j8VFQml7UEnnyRwQXlnmWfJ2T+XwtH9TyhWw6KXI8janIZee1+aSB2P2bXoK+eLYAHntz2XzeHctOnU8WtHiOHJOnDEKn5hYz5/NaZ8ehIzMdHY/WjqS/OX8MVPFcanYWkjGbzp4DIcn5ZG42mZm6qHFHQWmrL6HWM5fNpZ7JZj6ijX0sgZbThw4dohjnLS6KWg9J1Ue0ntT0En6nMgX8nk+l03lhHNRcIrUe4dY9jRrk0Up+1EiS2ypPWuoL90ttzF1YdmeX3fPL7tll98yyOzFu8sXiuan1BIeACPqEfv1+/IZ0PBnjDsXjlvrcEVXr8fvMimOnAvqQVx/XxkY80fFaPe7mKupF/KPL3N0UtRczvCQ5PW51T0WdYERHVX8wBDA2nbs4vt17V+sRWDjHJlKcDXWO8G3kI9J2d+Dt7erjsbgTYwYyvBZ2IQtCbaxGsXF555JT57XUjEZ+3loqr51LZRK5i1o2p80l8lp+LnkOG5tU94jWejg6LAz8TiexhRDhWfzMZEBKjIZgIklkpjUxJ1AsqQLwFaZTmRq9Fs/rBrRT88TdRG42L6QMNka6kEu4ZxIYGbVa5Eo7O4MMFHUGEsy7TCXzVnmgmjvSu70D0228oTr37KcZpGbjkuFRnZcMa2FHy+LQfGJpl5KpxVyO4jHMnQ/Qq0/4PaFQr8c7IJERcDg/N18rH47pE4HhPj0e6pUOF+YXJH3E75uIBof6JnyeuMeSxa3H4rs81cP+GkquxKVCbjG5Va/r3KkduzMMGAgRNr2FE7VmQ8ODE0Nhnx7j4QWk8lFNMONEPdllSQPBEmVh/CTztURXLWWWc1bWEl21VL09dmVKUJgBRJmSs9h0py8ikVxKYHvn+JATpYaEkR1WS/LpOyEJ2+yE1DFtDp+csCXOLVqyE15PxOMNxk9L0MDGY26QTAx6RqUGTgdHgrFwVDpM+wfNLw+mGEzOey5gVyROdqOT7g4yY2o6QurIH+pYxD8jIUEtbLWCAuFo8Ex4SBhAWwr7PX19uu9Ep/QQFXfTz0OadOGxQ0cPHcHYKMKkq6v76LHuI49Jg4mL2tFj3GqSQqnM4pK0dPyY+9jj7guPgaDzGYqnGDGUarfGt/BeCpFAmnL8QTjGc5pR7MlNzXXXct7s/ALURc7Y/f3pxGy+2yzrg0UZSOTnjDKTz4v55MRUYcng4qmgT4rqkdBpI0uiNUGPeAayNhAMhWKC/564N4DCUQs34tHTE6HgYDAuZi6MuRjSfTjOpzJT0nRySorp+sBETI8bCX3IhwlNT/MfpxVvLBSOi44GPf2YUCMZHEISyygc9elRLhkSj8XpnIGx9MiFRPqgdvxRyRp1cmiqlk1lsA1K1oAEi6lUi2aZeLqezFmST0tG1IuYJG0qiyWXMdqaKqqu27Zp0bqa3h6xUg9VaYhRaQhO2baNbN9/tu9klgAUa+TJTiEn1lgT65ZZC3+w7Lf1eBJrIIll426grSFmZFuwyPYokXp4iCUupB4QYrUnGmyQrbEfdYNmh+COxqiOrbbStjiOrUaXJXKDx91ZBWm70prwDkdFIJy1IhaUR4vrIX2QFo7W6Q0MDw3EYFDGvB7aETzxgHQKawuSbmTiwUEdtpMUCYdCE/qIPoRlFPGcGjIeeKJ9R2qpo1I86olM0PYV7MOi0aVYko7CMCn4EUojFiUlH4a4/enW0WtjXPOPS74kP5WRyWAwS4pdzExpBkux589QaF8DZ/mmLUU567WFRK6QgkFgnYKGWTFqR8gG9fvy0I+wKdLZxDQtknw9iEfYgBGKe9M4Fws8pLIAvR2bg5lHUWXTOBgU0LSQgOXDWc/TXmPh1yWJT1+PJxpdjvrIzARiPxlcU9kMFqFVBoWZSRYKuIlxcKmtiysvNzuwlDVonB6QjiGaJz2xyPgg/GKJ8ExQLJ4Y2cHAFONrzDz7W9ed0e2ZZC7rpiWpWdcwfyDsbZjemAjDYBYz4IGBeS6BXmuTJsZIKhaNpJA4cQoyBRGiB6+hQDShQMSBtoFvhr7RxqD+l6H+x9EGusjaJ1dOYkKji3QYTs2kcOrjTDDVGBXwB/zsZf4No/64kMUyF6QK4qy40snZBM5PDUqxZuvz44Jp3pOIG38J4hGLQUhwigcM8zz/2xENcCY1W9fZ2pg/5OmLjW/X60AOSRJzE08saV4tkl6cTWU03TSUJT/ZzdiDc240g5BiF6FGdWGvmZ+HxT5GFqeZPjQ6OtrsaLIrsk26JK7ElxiTXtr5nsQdeWn38v/NvbX9DPVnud6p7mt1Od/RYtK1NS9eBj/51fYqW//tKiNI9+dwH91vPNt6B/ZvLzPbv29/vf37dmlP96e2lP26vRHe7/7qDnW+YcH303bjvh+OH+xSvm+/cRP92f33b3/DgsNM/0D0/bn79P85Uf6F/dvbE7S/q8p+jrIf79L/9/D8XaijPVhlL/xW/X4A+dd/p8r+Efc1URYHnEG+50CVPYX79Qfqd1TkqYzSlw4YaWudrfdt4LO9W/kwuW3Qe4DX7FV2FumDzir74QOSdP33quxZ5M9qVXYH8ArgPcCN91YZfbvqzYeqbBJw+eEqu0L5jiq7C5h+f5W12VH/YJWlAW+4wQvAt7uqrL1JklqPQu4AX3u8yq4C3jheZS0OtO+ushDBJ4APMO2pspuA171V9jPAs5NVRrF6By4AL+DZZ4AXMP1XaN8iSaH/rLLjgAe6GFsAvH6MsZuA5Q8x1vYO1AsxVgYsA14FDMUYewvw+jBjTzrRL+AkYM8IY5cAD55mbANwGfBNKj/DmOYC/WcZmwY8C/gs4HXAa4AHzjF2vBX9AI4C3gBcAnwb8HIrfaebsZcBrwDeBXwT8B5gzzRj7fvw/OOMBQAPfoKxNMEiYy8AbjzL2KuA6U8x9gvAAyugV0UecBLwBuAlwOVVxq4DbgBuAF75DGOt70Q/gAcBy38KugBbXwDdgOnPoh5gzxcYexsw9EXGOtuQvwr+Ad6ADnoN8MBX0B7ycAMwBLh8HeMCbP0axvNA/R227ZmoZFtqs727tbmFXGYfFu+Hl2TICzkOqG1+tb3/na6nWy5JT7zrw+9/7OGHTH8Iem+l/W6VvcT9VdS2FVlX28uKT9VKdp/aWWzqU5+UZ5xqJ5541HbU6FVbBlwoClgeGH2Sf8izwMXfOXrUtpLsVduLSp+qzartyHtQkd5T0vdurqDeB0h1ptSukZISKcuBov1jt/SN8XW1RVe7ivaSUpbnbm3Ip9cJP71vfQv3C++psgf5J/TVSMyptgRdkaIsf9p5K+gac94KoK0r7rwVd9H7Svpu0rNYS5826nfpq0q4aJeH0Kzf1b8mz2/6eF8xtWVQ7VqT5T9ybva5jHedZ9HmLtZd1mir6SVlEG0jq7IcqwxyDKd493NqCzixKg9Xzq/KeoXGdxltWrFGnyFnDiVjUzU5p7bIq6p2DuCnqhZSW07j4SfUloiqTdHw+Lce76Bd/JEq65CNuViVMW0rSq+qle0DamepyQO+OHzq121KyeZUuzxqp0fVes1JCLjkOJ76G59iQPQu8CBwdnZC39kM3GsyaqwS7hW7rnaWCXfJ4VGPF5v71DuX7PK4Uz3u4X30WrDpLkHrMvDdA74jCufP5FyxOVxylJvCK/bQqhICMz91S1/XN/TbekXfDDqJkDNqi1+dLDZTvRX7qoJKP3SiVp+oRchpnu8C92sfwB5CtPaTHOn7HPI3Id3h9UirA/m4E5mQS7wnpP834QZ03veJb6fUn8iDxaaBkj2yqsgj6OOT6htyv/qWPADoQan855t9eBx1bvpdgc0J5631itriccm9a/JHnZsBPJOMb2OSjn38MHSywvHeVOLF5sGS42y5CZiBQum1bQ6s2IFr7fbJzfSt9Q0g8qGeMUQa4KkVu5y6vZldk4Mr9ojzdoDwExhwnb1NHdF76VeB/zp083tlc93E9jmeKjeNFB3+FXt2VVHeZ3Pe8m34bvsqHgwcE+2v+PgDyvL5pe88X4Zef9tu8sy7z9G7ogyU7cUmyKCTt4s4b/Vu9N72rCM34FKetwGC7NsBcLXYVJLL9hXF8P04CzyBD1UZ/ZffRFNRHlIn5dNOtc3LpYDqXEKda9g7uPst1og8VZKLivwNTKlywKa2EF3X7OTnDnvjwHa56yW589XkLqJefVj5VvOOcudxCR+HXwCfdrrKvk2OOidpnIF9juCasmpfaSo7is3KlSYaaq9LeVymBDXk8g89+BcZ0Er8iRIdfY10cPn3Eh396tU/sBPLdlsApDeXge9yDvvtEya/QYffoMPPCWmzC0LutAkuVzb9xOdm8Nmx0rRqX1MMeX8VuM5+AzaHxzImgeskx/Wcao6FeHCP9vJ/q7K/oUxI1PdR/T5iQhgNnmk3Jlz5wgNGS+JBF/bya7/P2Ao5jQ3uxgOPwYPn36t4ZbDAu/NcED76ntPP3Iz9g3w/ngp8l/7QrnxA3pGnvS7jO7B3gK8AG+J75MwVUZ9vHUTDkmOg3HSar7LXsOwmKmn8/nVFDjmJpZs0IzI0jvzLSljlXN6kllYlM1pZQvm/OisnXfLlihxYVfLOyiAEpLVS9+cLwZ6528vYfovPIX1f4Gd49s378stb49eH/gd+fR344kHYAvIua6FRByvKP9l2RXhAOFhODzD2hGSu0aCqPcVXKC/XUP4synVLedfTRjnJMH3H4Nsof8NYv0/2Fx39q3KubC81BVcU+TNcfUNpwwQoNZFqUNpsYPCokZG/xMuFrVEGrtGhnfsi36frKH8O5Qmb2VdT/4osB0v2obKSxa6PfgbQj72sLGwIf52foM0rYcYOiP0+XHSUmgp81z1ZxtQOQCaecqqj/epkQB31qBHQQ5uNy4CcrodhZ16N7EwXlftQfmeXcrJnpskx8iTsziZOwyVbmETraRDhd80ZOl6eVZ+zQQBsfsBeVFEesjk5BQMu3WmShI3g+7dHjeyQK7JiV1psztsQ3j6n2P4GXUlnbSeUvWbS6EQMidN8DzS9Nrz7mNphM7eO7F5+XNjaH7aWz9fLR1F+9j7tl1Bevk/5ZZTfuE/5y2TT71LO93+UHzjF2Jn9NTuyUccXZUO7CT/FFtLxC4ytNawDY6si3UK26UHAl1HnP+wWnIMrCm2P8suErs9FchpHvecXGfu8IXMLYWyLdmO6T/LJftGJeQi55EGCfhf5GT6HNm9fYOyztf6xqckBg4CA66SR8LlozX0bdReeZuwrzRY6IsXm4ErTyKr9TNnRv6Yo12wbvk1fZRRU6dgxyg7aK5QO2bnhq/ggVab/J84wP/zE7nzWUG7/5M7lRPeTKH8c5Tdr9rqf7HUiPuRU273cYseGR7jSqPvqLrjId6+M8nsof4VspT71qq2/2Hym5BhaH4W+QrbkmCVBJj2uqIoTqqP/dqAS4DYf4d9A++eKu9P6JspfpnPZVloj8mSNVihGqktnuoM4u328YT7GTNvlpIHVOPv4UPcS6k4KvRQuQSByTjrjGPNdMOY56uTLOGzMvsiN8CXJZbYMPJdxTvx7Q090hUtK0X5uVVbOK5UzXHyUO7ZVOVERvqk3UP/4H+N8LJu6DQcepdnGq87jlPEHzkq/K18hGt8QZ89/lk2ZhAoaXVUilXE6fCysKiMr9nITiP2lqUD8LvnzPL2pV+hIw33lu3A2fWWNsQtmn6uwVJdW7DBo5ZMlByzaKKnRyQmuTLHZjXrVSdSjTRU9edWIsamio8i6vnkR+AfNJzqmlHp9cn2T73VX0NfdP2Esyp0d1Tu24XJTsfnj/BwwW3IISeiWnesBLgd9LuVfbGZmyKWcqJXoLpKPN4Hvjctb11iZTyXxk87bc3+Gc7Exj5N83Yp5XJHLivyXxI6wi2T1OOq+/XlmngsjOLMUmz9acsyvyUvctr9Gyhbj6Ss59PVxOrVETIOe/LqX6Mx+hbGXDD62KV+UuTzRnvUCyiL3/ot9iw7nI+pxf7FZ1uu2iLLmgOj38Tk6fYtOC8etpko9DkITPv99Q8P0FaabdovvuCzyzdLetXftXXvX3rV37V171961d+1de9feZb3of8a0CShJ9e+3mt9r3fp9VtOj49eO+t+HrZcZ+7whzmtmzPMrXzNamuc087uxZgyviceM9TW/E2vG8pqx2b+ssqxBoIHPjP1u+66RN2O+275p5M2Aja+KA6EZs23GIJux5m+I+H8zJv2yqG++RzbPk2ZM890fG/h/JehpEwT+WuR/clhuaHfz72wN42gXBLxjCz3vqZ1jjavKDHw3123mfGWt8/CWyH/3b40n/y7yP/9/Jmdfd8s7PneICXhQwEcEPCagX8ARAWcEvCBgScAXBfyygN8RcF3AHwn4uoC/EtAhPirwoICPCHhMQL+AIwLOCHhBwJKALwr4ZQG/I+C6gD8S8HUBfyWgQwjwgwI+IuAxAf0Cjgg4I+AFAUsCvijglwX87+7OH7aNKo7j5wuEiL8ZqixQiERVlYGTEVJFO5UW1RED6kJhS5zExana2HLObcpkMXRtBtSBiSn1UikDilQmhipdOiQMERuZQjOAkJA8IYrP9/28+H7N80OM/Q3+2nrve++df7539s/25zalW9Jd6b60Jx3XATMlPSk9Lb0ovSy9Ir0hvS29K12Xbkq3pLvSfWlPOq4DZEp6UnpaelF6WXpFekN6W3pXui7dlG5Jd6X70p50fOL5X9+H45kO4v7B77QBPxv+pg142fAzbcDHnvH44WH/5PHDvz7wtMO7XvVsH741/Ecb8KzPePbf8as924dXve1ph0991TM+POo7nnb40xuednjTjz3t8KXh/9mAJ73jaYcf/dDTDi8afp4N+NCOB20CHnTF0+74z57tw3tue/zwnS95/PCcb3r2D37zgqcdXvMjz/jwmQ887fCYm575wV/uetrhLW972uErw/+yAU8ZfpcN+Mn3PH54yQ887fCRHQ/ZBDzkjqcd/vGepx3eMfyoZ44fHdfwjOkFx9i37hHwi+EV0xtOsW9dJOATnzPjwyH2rZsE/GF4w/SGMzwTGB++MDxh1xvObGB8+MFlMz6c4IOAHz4wPGB6wwFeDcwf/i+8X3rD+fWt6wTrOjxfl3/5zwTyD78XXq/Lv/zdwPzh88LjdfmXfzvgh78Lb9flX/6rgf2HrwtP1/UWp/ROwA8/F16uy7/8GwE/fNzI+OHgPg74OW/Bu3X5l993XiM4r8GzdfmXfyfg57y3Zvxwah8G/PBp4dG6/MOh/WO0H/4svFmXf/l951UCvmzH+OHIVgJ++LFl44cTeyowf/iw8GBd/uVvB8aH/xqZ4w/O66XA+JzX4bm6/Mt/M5A/zvvwWl3+5V8I+OGzwmN1+Zf/UWD/4a/CW3X5l/8g4IevGhk/HNVm4PmDnwov1eVf/m7ADx91zvjhoG4H/PBPJ40fzqnvfQ3B+xp4pi7/8vve9xDwSzvGD6f0XmB8+KRl44dD+iDghz8Kb9TlX37f+yoCvmjT+B1HNOCHHzpt/HBC9wJ++KDwQF3+5bfv2yoXLpydPlX57PP3pv8TcmiC2mF/M5WPT5Q+rH7gao9/vXVYO7R9gAHuqC4ZJSv17FKO1fkoWW6kteSr5XYy+Gfp+0uLUTL433CS1lb7t9lFK6NBe726Uo+SxVvL2QUTB5q28hb+pTz8YLbf1qpdq2Ydda95rb+9VmPwX9WkVp8dYI9m64utw0dD02m2Gs1aK73Vn0juSOdXVvK55Re/zOfG/axPNkx/gMHkqteXFvoTaqSDm3zsfDuDzWR/cc+4GId7nlTTtLU0304dzeP/xytRkfnZjYtquaIvmMdv67UzburL6JsBf9v4/4yLWn6x2H/S6Anjp06OfrNefB2fs5/TjJ96OPpaYP7Z7y97T582XBVV9W/01bhYp7ZlrbPKQWzq4yiF+wnNc8LUpc+rVh6bejt63/zgyq4Kn6p2jZ96NYrhJVP/Rr9QLZzH1MNR/Hb+7nOQntPY1ONR6vH2+WP/m/KfN/V/lO8L4Jta/9eaF+N3fisV9Nsp87nB1omM/9g/pYJ+Eo9+/awZ/5e6h/7yhvlcb/zfmeO3PBkXNRrtv6/xxzSxDtf3Ox4Xvjeyxx/xg7aJn++P1uTfC/h/jHLO7lh0tH/SM3/H6Y4iXVlS53/5vz8eH7m/1v8z+8/6J3834Cd+1doxZr5P2ZCfxNhx2a8nZnw42xvv5PpRYP6/Gz/flz2Rvzk22t8z/jnVL+be1TxeH/36/5v80y5+ONxQm3/rL5Xy8e3rFH8SHb1+oS+XzG9KF8R5l38msH4P7/twwBefLo1eP/8FVPDB3Sg7AgA=' [x86_64_v2]=$'0 142120\nmd5sum:cc2aeafe24cf1314193af55b01a0978c\nsha256sum:1833a1d1148f13b5cbcd5c2b0a5edb0d5c30bb211f4f5b588465038f6dd855cd\034\035\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' [s390x]=$'0 140840\nmd5sum:6d8bf0d5e66b4e6534a1d3246ebaa15f\nsha256sum:a62d6f3643564ea6e0d6eaca17d9d31913c907048773b157fd5c3d5ba94c7f7b\034\035\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' ) _forkrun_bootstrap_setup --force diff --git a/ring_loadables/forkrun-libs/forkrun_ring.aarch64.so b/ring_loadables/forkrun-libs/forkrun_ring.aarch64.so index 2b6190e0..e5a5ec0b 100644 Binary files a/ring_loadables/forkrun-libs/forkrun_ring.aarch64.so and b/ring_loadables/forkrun-libs/forkrun_ring.aarch64.so differ diff --git a/ring_loadables/forkrun-libs/forkrun_ring.ppc64le.so b/ring_loadables/forkrun-libs/forkrun_ring.ppc64le.so index 7191711b..5f75c0b4 100644 Binary files a/ring_loadables/forkrun-libs/forkrun_ring.ppc64le.so and b/ring_loadables/forkrun-libs/forkrun_ring.ppc64le.so differ diff --git a/ring_loadables/forkrun-libs/forkrun_ring.riscv64.so b/ring_loadables/forkrun-libs/forkrun_ring.riscv64.so index 733a4371..bdf790c4 100644 Binary files a/ring_loadables/forkrun-libs/forkrun_ring.riscv64.so and b/ring_loadables/forkrun-libs/forkrun_ring.riscv64.so differ diff --git a/ring_loadables/forkrun-libs/forkrun_ring.s390x.so b/ring_loadables/forkrun-libs/forkrun_ring.s390x.so index 80ffdfa9..44ebb40b 100644 Binary files a/ring_loadables/forkrun-libs/forkrun_ring.s390x.so and b/ring_loadables/forkrun-libs/forkrun_ring.s390x.so differ diff --git a/ring_loadables/forkrun-libs/forkrun_ring.x86-64-v2.so b/ring_loadables/forkrun-libs/forkrun_ring.x86-64-v2.so index dfd6f2e9..b162fe9e 100644 Binary files a/ring_loadables/forkrun-libs/forkrun_ring.x86-64-v2.so and b/ring_loadables/forkrun-libs/forkrun_ring.x86-64-v2.so differ diff --git a/ring_loadables/forkrun-libs/forkrun_ring.x86-64-v3.so b/ring_loadables/forkrun-libs/forkrun_ring.x86-64-v3.so index c0ccf5c8..b7ec2518 100644 Binary files a/ring_loadables/forkrun-libs/forkrun_ring.x86-64-v3.so and b/ring_loadables/forkrun-libs/forkrun_ring.x86-64-v3.so differ diff --git a/ring_loadables/forkrun-libs/forkrun_ring.x86-64-v4.so b/ring_loadables/forkrun-libs/forkrun_ring.x86-64-v4.so index 10c5d5d6..c270d256 100644 Binary files a/ring_loadables/forkrun-libs/forkrun_ring.x86-64-v4.so and b/ring_loadables/forkrun-libs/forkrun_ring.x86-64-v4.so differ