Search Results for "cache memory simulator"
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Showing 237 open source projects for "cache memory simulator"
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Cache
Nothing but Cache
Cache doesn't claim to be unique in this area, but it's not another monster library that gives you a god's power. It does nothing but caching, but it does it well. It offers a good public API with out-of-box implementations and great customization possibilities. Cache utilizes Codable in Swift 4 to perform serialization. The cache is built based on a Chain-of-responsibility pattern, in which there are many processing objects, each knows how to do 1 task and delegates to the next one, so can... -
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lru-cache
A fast cache that automatically deletes the least recently used items
node-lru-cache is a high performance in memory caching library for Node.js that automatically evicts the least recently used items when the cache reaches its size limit. It is designed to provide predictable memory usage while maintaining fast lookup and update operations. The library is widely used in server side JavaScript applications where efficient caching can significantly improve performance. -
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Gocache
Go cache library that brings you multiple ways to manage caches
Guess what is Gocache? a Go cache library. This is an extendable cache library that brings you a lot of features for caching data. Multiple cache stores: actually in memory, redis, or your own custom store. A chain cache: use multiple cache with a priority order (memory then fallback to a redis shared cache for instance) A loadable cache: allow you to call a callback function to put your data back in cache. ... -
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Ristretto
A high performance memory-bound Go cache
Ristretto is a fast, concurrent cache library built with a focus on performance and correctness. It all started with needing a memory-bound, concurrent Go cache in Dgraph. We looked around for a solution, but we couldn’t find a great one. We then tried using a sharded map, with shard eviction to release memory, which caused us memory issues. We then repurposed Groupcache’s LRU, using mutex locks for thread safety. -
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Windows Memory Cleaner (WMC)
Free RAM cleaner uses native Windows features to optimize memory areas
Windows Memory Cleaner (aka WMC or WinMemoryCleaner) is a lightweight, portable Windows utility designed to optimize system memory using native Windows API functions. It provides a transparent and user-friendly interface for freeing up RAM that is often held unnecessarily by cached data or inefficient processes. Unlike many “RAM booster” tools, it relies entirely on documented system methods rather than hidden tricks or unsafe optimizations. The application can automatically clean memory... -
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Nebulex
In-memory and distributed caching toolkit for Elixir
Nebulex provides support for transparently adding caching into an existing Elixir application. Similar to Ecto, the caching abstraction allows consistent use of various caching solutions with minimal impact on the code. Nebulex cache abstraction shields developers from directly dealing with the underlying caching implementations, such as Redis, Memcached, or even other Elixir cache implementations like Cachex. Additionally, it provides totally out-of-box features such as cache usage... -
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JetCache
JetCache is a Java cache framework
JetCache is a Java cache abstraction that provides uniform usage for different caching solutions. It provides more powerful annotations than those in Spring Cache. The annotations in JetCache support native TTL, two-level caching, and automatically refresh in distributed environments, also you can manipulate Cache instances by your code. Currently, there are four implementations: RedisCache, TairCache(not open source on github), CaffeineCache (in memory) and a simple LinkedHashMapCache (in memory). -
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R-KV
Redundancy-aware KV Cache Compression for Reasoning Models
R-KV is an open-source research project that focuses on improving the efficiency of large language model inference through key-value cache compression techniques. Modern transformer models rely heavily on KV caches during autoregressive decoding, which store intermediate attention states to accelerate generation. However, these caches can consume large amounts of memory, especially in reasoning-oriented models with long context windows. R-KV introduces a method for compressing the KV cache during decoding, allowing models to maintain reasoning performance while reducing memory consumption and computational overhead. ... -
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Redis
An in-memory database that persists on disk
Redis is an open-source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions, and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster. ... -
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KVCache-Factory
Unified KV Cache Compression Methods for Auto-Regressive Models
KVCache-Factory is an open-source research framework designed to explore and implement unified key-value cache compression techniques for autoregressive transformer models. In large language models, the key-value cache stores intermediate attention states that enable efficient token generation during inference, but these caches can consume large amounts of GPU memory when handling long contexts. KVCache-Factory provides a platform for implementing and evaluating multiple compression strategies that reduce memory usage while preserving model performance. ... -
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Nuke
Image loading system
...Nuke has an automated test suite 2x the size of the codebase itself, ensuring excellent reliability. Every feature is carefully designed and optimized for performance. Fast LRU memory cache, native HTTP disk cache, and custom aggressive LRU disk cache. Customize image pipeline using built-in Alamofire, Gifu, FLAnimatedImage, WebP plugins or create your own. Enable progressive decoding with a single line of code. Nuke supports progressive JPEG out of the box, and WebP via a plugin built by the community. Automatically prefetch images ahead of time using either Preheat or native table and collection view prefetching APIs. -
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FusionCache
FusionCache is an easy to use, fast and robust cache
FusionCache is an easy-to-use, fast, and robust cache with advanced resiliency features and an optional distributed 2nd layer. It was born after years of dealing with all sorts of different types of caches: memory caching, distributed caching, http caching, CDNs, browser cache, offline cache, you name it. So I've tried to put together these experiences and came up with FusionCache. -
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Olric
Distributed, in-memory key/value store and cache
A lightweight, distributed in-memory data store designed for key-value caching and ephemeral storage. -
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Intel(R) RDT Software Package
User space software for Intel(R) Resource Director Technology
Intel CMT CAT is a user-space software package providing support for Intel's Resource Director Technology (RDT). It offers tools and libraries to monitor and control cache allocation and memory bandwidth. -
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SD WebImage
Asynchronous image downloader with cache support
This library provides an async image downloader with cache support. For convenience, we added categories for UI elements like UIImageView, UIButton, MKAnnotationView. SD is the prefix for Simple Design (which is the team name in Daily Motion company from the author Olivier Poitrey) Image formats supported by Apple system (JPEG, PNG, TIFF, BMP, ...), including GIF/APNG animated image. In order to keep SDWebImage focused and limited to the core features, but also allow extensibility and custom... -
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Caffeine
A high performance caching library for Java
Caffeine is a high performance Java caching library providing a near optimal hit rate. A Cache is similar to ConcurrentMap, but not quite the same. The most fundamental difference is that a ConcurrentMap persists all elements that are added to it until they are explicitly removed. A Cache on the other hand is generally configured to evict entries automatically, in order to constrain its memory footprint. In some cases a LoadingCache or AsyncLoadingCache can be useful even if it doesn't evict entries, due to its automatic cache loading. ... -
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Fresco
An Android library for managing images and the memory they use
Fresco’s image pipeline will load images from the network, local storage, or local resources. To save data and CPU, it has three levels of cache; two in memory and another in internal storage. Fresco’s Drawee shows a placeholder for you until the image has loaded and then automatically shows the image when it arrives. When the image goes off-screen, it automatically releases its memory. A decompressed image - an Android Bitmap - takes up a lot of memory. This leads to more frequent runs of the Java garbage collector. ... -
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PINCache
Fast, non-deadlocking parallel object cache for iOS, tvOS and OS X
...It is a key/value store designed for persisting temporary objects that are expensive to reproduce, such as downloaded data or the results of slow processing. It is comprised of two self-similar stores, one in memory (PINMemoryCache) and one on disk (PINDiskCache), all backed by GCD and safe to access from multiple threads simultaneously. On iOS, PINMemoryCache will clear itself when the app receives a memory warning or goes into the background. Objects stored in PINDiskCache remain until you trim the cache yourself, either manually or by setting a byte or age limit. -
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Mooncake
Mooncake is the serving platform for Kimi
Mooncake is an open-source infrastructure platform designed to optimize large language model serving by focusing on efficient management and transfer of model data and KV cache. The platform was originally developed as part of the serving infrastructure for the Kimi large language model system. Its architecture centers on a high-performance transfer engine that provides unified data transfer across different storage and networking technologies. This engine enables efficient movement of tensors and model data across heterogeneous environments such as GPU memory, system memory, and distributed storage systems. ... -
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FlashMLA
FlashMLA: Efficient Multi-head Latent Attention Kernels
...It provides optimized kernels for MLA decoding, including support for variable-length sequences, helping reduce latency and increase throughput in model inference systems using that attention style. The library supports both BF16 and FP16 data types, and includes a paged KV cache implementation with a block size of 64 to efficiently manage memory during decoding. On very compute-bound settings, it can reach up to ~660 TFLOPS on H800 SXM5 hardware, while in memory-bound configurations it can push memory throughput to ~3000 GB/s. The team regularly updates it with performance improvements; for example, a 2025 update claims 5 % to 15 % gains on compute-bound workloads while maintaining API compatibility. -
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Zen Kernel
Zen Patched Kernel Sources
Zen Patched Kernel Sources. This is the top level of the kernel’s documentation tree. Kernel documentation, like the kernel itself, is very much a work in progress; that is especially true as we work to integrate our many scattered documents into a coherent whole. ARC processors are highly configurable and several configurable options are supported in Linux. Some options are transparent to software (i.e cache geometries, some can be detected at runtime and configured and used accordingly,... -
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BentoCache
Bentocache is a robust multi-tier caching library for Node.js app
Bentocache is a flexible caching library for Python that supports multiple backends like memory, disk, and Redis. It offers decorators for easy function-level caching and is designed to be lightweight, extensible, and developer-friendly. Bentocache is well-suited for performance optimization in web apps, scripts, and data pipelines. -
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Memcached
memcached development tree
Memcached is a high-performance, open-source distributed memory caching system, typically used to accelerate dynamic, database-driven websites by storing frequently accessed data in RAM. To build memcached on your machine from the local repo, you will have to install autotools, automake, and libevent. If you want TLS support, install OpenSSL's development packages and change the configure line. libseccomp (optional, experimental, Linux), enables process restrictions for better security.... -
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LMCache
Supercharge Your LLM with the Fastest KV Cache Layer
...These capabilities aim to lower latency, cut GPU cycles, and stabilize performance for production workloads with overlapping prompts or retrieval-augmented contexts. The end result is a cache fabric for LLMs that complements engines rather than replacing them. -
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BTree implementation for Go
BTree provides a simple, ordered, in-memory data structure for Go
This package is a high-performance, in-memory B-tree for Go that implements an ordered set/map with efficient insert, delete, and range iteration. It’s parameterized by tree degree so callers can tune cache behavior and memory overhead for their workload. Instead of relying on Go’s built-in maps—which are hash-based and unordered—btree preserves sorted order and provides rich traversal APIs like ascending, descending, and range scans.
