A framework to test cache replacement policies.
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Updated
Mar 22, 2017 - Java
A framework to test cache replacement policies.
Programs implemented during lab sessions of course CSC403 i.e (Computer Organization & Architecture)
🧠 Implementation of two cache replacement and two memory scheduling algorithms.
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.
Source code for the cache replacement policy published in [Faldu et al., PACT'17] and [Faldu et al., CRC2'17].
Implementation of Cache Replacement Algorithm (FIFO and LRU) and calculation of corresponding Cache Hit Ratio.
Analysis of Different Cache Replacement Algorithms
A console application to simulate cache and cache replacement policies : LRU, LFU and MRU
ARC Cache Implementation (in Haskell!)
Manageable LRU in-memory cache instance for fast lookups and configurable eviction policies
Trace-driven cache memory simulator with LRU, MRU, RR and Belady replacement policies.
A transformer-based cache replacement model for CDNs using imitation learning technique with Belady's optimal policy
Cache replacement algorithms, including Least Recently Used (LRU), First In First Out (FIFO), and Enhanced Not Recently Used (ENRU).
Source code for the cache replacement policy published in [Faldu et al., PACT'17] and [Faldu et al., CRC2'17].
High performing caching package for node/javascript
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.
A project for Advanced Operating System(CS604) that implements ARC cache replacement policy.
Using Belady's algorithm for improved cache replacement
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