Search Results for "optimization"

LoopVectorization.jl is a Julia package for accelerating numerical loops by automatically applying SIMD (Single Instruction, Multiple Data) vectorization and other low-level optimizations. It analyzes loops and generates highly efficient code that leverages CPU vector instructions, making it ideal for performance-critical computing in fields such as scientific computing, signal processing, and machine learning.

To meet the requirements presented at the beginning of this chapter, we implemented our own cache and named it BigCache. The BigCache provides shards, eviction and it omits GC for cache entries. As a result, it is very fast cache even for large number of entries. Freecache is the only one of the available in-memory caches in Go which provides that kind of functionality. BigCache is an alternative solution for it and reduces GC overhead differently, therefore we decided to share it. Fast,...

UNMAINTAINED: Try https://github.com/pjoe/loadem instead This project aims to provide a tool for load testing web applications. The goal is a tool that is easy to use and provides near real-time performance measurements of the application under test which is very usefull during optimization.

ngx_pagespeed speeds up your site and reduces page load time by automatically applying web performance best practices to pages and associated assets (CSS, JavaScript, images) without requiring you to modify your existing content or workflow. Apache PageSpeed is an effort undergoing incubation at The Apache Software Foundation (ASF), sponsored by the Apache Incubator. Incubation is required of all newly accepted projects until a further review indicates that the infrastructure,...

...This project will develop and deploy a measurement science-based performance and conformance testing framework to enable real-time factory floor monitoring and optimization of manufacturing applications.

...The exact implementation in native code (C++) is also provided in each project folder for reference. By using these benchmarks, one may analyze: 1. How to tune/optimize the auto-parallelizer's compiler 2. Whether the appropriate optimization procedure is provided within the compiler This project is partially funded by the Department of the New Energy and Industrial Technology Development Organization (NEDO).