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Djninja926 / cachelib-sosp23

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This repository is a CacheLib prototype of TARDIS, a learned cache eviction policy as part of the LDOS Expeditions project at UT Austin. It implements LRUForgive and S3FIFOForgive with a log-structured multithreaded architecture, and is evaluated against LRU & S3FIFO on real traces to to measure miss-ratio improvement under high eviction pressure.

machine-learning cache lru machine-learning-algorithms tardis log-structured lru-cache sigcomm storage-systems spsc-queue ldos cache-eviction-policy cachelib mulithreading s3fifo systems-ml key-value-cache cache-re cache-evi learned-systems
  • Updated Aug 5, 2026
  • C++

ArchanaChetan07 / sparse-attention

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Certified Sparse Attention: runtime-verified fidelity for sparse-attention LLM serving. Label-free detection, anytime-valid confidence sequences, elastic probe scheduling. Smoke-scale H1-H4 results on Qwen2.5-0.5B/1.5B (AUC 0.92, Spearman -0.90).

machine-learning research deep-learning statistical-learning transformers pytorch attention-mechanism huggingface kv-cache confidence-sequences sparse-attention llm long-context llm-serving systems-ml
  • Updated Aug 7, 2026
  • Python

Djninja926 / Learned-Cache-Replacement

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This repository contains a set-associative cache simulator in C with four eviction policies: LRU, LFU, Bélády's OPT, and an online perceptron-based policy that scores by recency, frequency, and per-PC weights updated from a circular eviction history to explore whether a lightweight ML model can approximate OPT at runtime with no offline training.

c machine-learning cache lru perceptron online-learning cache-simulator memory-hierarchy cache-replacement lfu machine-learning-systems belady set-associative-cache cache-replacement-policies systems-ml spec-cpu-2006 crc2-computer-architecture
  • Updated Apr 23, 2026
  • C

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