The PyTorch codebase for -> DEAP Cache: Deep Eviction Admission and Prefetching for Cache.
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Updated
Sep 22, 2020 - Python
The PyTorch codebase for -> DEAP Cache: Deep Eviction Admission and Prefetching for Cache.
Reproduces the results of the FAST 2021 paper, Learning Cache Replacement with CACHEUS, for Academic purposes.
Simulates and compares FIFO, LRU, XGBoost, LightGBM, Simulates and compares FIFO, LRU, XGBoost, LightGBM, and Actor‑Critic RL cache policies on Zipfian traces, reporting hit rates against an optimal baseline.
A comprehensive collection of cache eviction policies implemented in python, providing practical examples for Least Recently Used (LRU), Least Frequently Used (LFU), and other strategies to optimize data caching in your applications.
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