docs(memory): JMH benchmark baseline 2026-08-22 (SKEEP-003 #1005 follow-up) - #1052
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…ration (#1005 follow-up) Reference numbers recorded on develop @ 5611b91 before the M1 Storage / TensorView façade and registry-dispatch slices: the jvm-cpu-jmh suite (MatmulBench, KernelMatmulBench, QuantizedMatmulBench, ElementwiseAdd1MBench, Reductions1MBench; fork 1, 3 warmup, 5 measurement iterations), run with nothing else building on the machine. Later slices compare against this table (decision #6: matmul within noise, elementwise <= 3 %). The kotlinx-benchmark StorageBenchmarks suite is not included: with the module's default iteration settings a full run takes hours; run it filtered per class when a slice touches the storage hot paths. Refs #1005 Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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aharakal
approved these changes
Aug 22, 2026
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Summary
Docs-only follow-up to #1049 / #1005: the benchmark baseline recorded on
develop@5611b918before the M1 memory-architecture slices,docs/design/memory/baseline-2026-08-22.md.:skainet-backends:benchmarks:jvm-cpu-jmh:jmh(MatmulBench, KernelMatmulBench, QuantizedMatmulBench, ElementwiseAdd1MBench, Reductions1MBench; fork 1 / 3 warmup / 5 iterations), 27 result rows, run with the machine otherwise idle (i7-9750H, JDK 25). Later slices compare against it (decision MaxPooling2D #6: matmul within noise, elementwise ≤ 3 %).StorageBenchmarkssuite — with the module's default iteration settings a full run takes hours; it should be run filtered per class when a slice touches the storage hot paths (noted in the doc).No code change; no test run needed beyond CI.
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