A customizable hardware prefetching framework using online reinforcement learning as described in the MICRO 2021 paper by Bera et al. (https://arxiv.org/pdf/2109.12021.pdf).
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Updated
May 22, 2024 - C++
A customizable hardware prefetching framework using online reinforcement learning as described in the MICRO 2021 paper by Bera et al. (https://arxiv.org/pdf/2109.12021.pdf).
Using Belady's algorithm for improved cache replacement
A project for Advanced Operating System(CS604) that implements ARC cache replacement policy.
Implemented modern last-level cache(LLC) with the concept of "Perceptron Learning for Reuse Prediction" that use neural network idea, which is training the predictor by a smaller independent cache with a series of features.
Source code for the cache replacement policy published in [Faldu et al., PACT'17] and [Faldu et al., CRC2'17].
Source code for the cache replacement policy published in [Faldu et al., PACT'17] and [Faldu et al., CRC2'17].
🧠 Implementation of two cache replacement and two memory scheduling algorithms.
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