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