avx-instructions
There are 2 repositories under avx-instructions topic.
- thorium
Alex313031 / thorium
Chromium fork named after radioactive element No. 90. Windows and MacOS/Raspi/Android/Special builds are in different repositories, links are towards the top of the README.md.
Language:C++ 4062 - Language:C++ 3668
- Mercury
Firefox fork with compiler optimizations and patches from Librewolf, Waterfox, and GNU IceCat.
Language:JavaScript 951 minio / sha256-simd
Accelerate SHA256 computations in pure Go using AVX512, SHA Extensions for x86 and ARM64 for ARM. On AVX512 it provides an up to 8x improvement (over 3 GB/s per core). SHA Extensions give a performance boost of close to 4x over native.
Language:Go 942- Thorium-Win-AVX2
Repo to serve AVX2 Windows builds of Thorium. https://github.com/Alex313031/Thorium/
Language:Batchfile 349 - Language:Assembly 194
jeffhammond / vpu-count
Information about AVX-512 support on recent Intel processors
Language:C 40- atom-ng
:atom: The hyper-hackable text editor - Compiler Optimized, Community Maintained Fork
Language:JavaScript 28 Repo to serve AVX2 Linux builds of Thorium. https://github.com/Alex313031/Thorium/
- Mercury-Win7
Windows 7 builds of Mercury Browser (Based on ESR115 rather than stable tip-of-tree)
Language:JavaScript 25 intel / document-level-sentiment-analysis
Document Level Sentiment Analysis is an End-to-End deep learning workflow using Hugging Face transformers API to do a "classification" task at document level, to analyze the sentiment of input document containing English sentences or paragraphs.
Language:Python 6Sooryakiran / Convolution-with-AVX
Implementation of 2D Convolution operation for Neural Networks using Intel x86(i368)/x86-6(amd64) AVX-256 instructions. All data flow methods, i.e input stationary, weight stationary and output stationary are implemented. The forward pass of Alexnet architecture is constructed using it.
Language:C++ 4Geolm / math_intrinsics
One header file library that implement missing transcendental math functions (cos, sin, acos, and more....) using 100% AVX/Neon instructions (no branching)
Language:C 1- Language:C++ 1
OscarTHZhang / cnn-optimization
Convolutional Neural Network Optimization using Intel AVX and OpenMP
Language:C 1- Language:C++ 1
Quake4 / FeatureDetector
What features does your CPU and OS support?
Language:C++ 1TheRioMiner / RioNeuralNetwork
Simple and performance neural network .NET library with AVX acceleration
Language:C# 1- Language:C 0
AkashWorld / ISPC-Experiments
Rutgers University - ECE - Parallel and Distributed Computing - Project 1
Language:C++- Language:C
- Language:C++
