avx-instructions

There are 23 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++4.3k58577138

  • google/highway

    Performance-portable, length-agnostic SIMD with runtime dispatch

    Language:C++3.8k44358302
  • Mercury

    Alex313031/Mercury

    Firefox fork with compiler optimizations and patches from Librewolf, Waterfox, and GNU IceCat.

    Language:JavaScript9932017125

  • 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:Go9533735118
  • Thorium-Win-AVX2

    Alex313031/Thorium-Win-AVX2

    Repo to serve AVX2 Windows builds of Thorium. https://github.com/Alex313031/Thorium/

    Language:Batchfile35413909

  • tgrysztar/fasmg

    flat assembler g - adaptable assembly engine

    Language:Assembly196261326

  • jeffhammond/vpu-count

    Information about AVX-512 support on recent Intel processors

    Language:C408103
  • atom-ng

    Alex313031/atom-ng

    :atom: The hyper-hackable text editor - Compiler Optimized, Community Maintained Fork

    Language:JavaScript37451

  • twest820/AVX-512

    AVX-512 documentation beyond what Intel provides

    33304

  • Alex313031/Thorium-Linux-AVX2

    Repo to serve AVX2 Linux builds of Thorium. https://github.com/Alex313031/Thorium/

    28220
  • Mercury-Win7

    Alex313031/Mercury-Win7

    Windows 7 builds of Mercury Browser (Based on ESR115 rather than stable tip-of-tree)

    Language:JavaScript275101

  • 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:Python6313

  • Geolm/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:C4100

  • Sooryakiran/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++4201

  • maddsua/simd

    AVX2 and SSE2 usecases and benchmarks

    Language:C++1100

  • OscarTHZhang/cnn-optimization

    Convolutional Neural Network Optimization using Intel AVX and OpenMP

    Language:C1120

  • ptahmose/colortwist

    an exercise in SIMD-optimization

    Language:C++1200

  • Quake4/FeatureDetector

    What features does your CPU and OS support?

    Language:C++1201

  • TheRioMiner/RioNeuralNetwork

    Simple and performance neural network .NET library with AVX acceleration

    Language:C#1100

  • chi-0828/SIMD_vips

    rewrite CON_INT function to build SIMD-version convolution

    Language:C0100

  • AkashWorld/ISPC-Experiments

    Rutgers University - ECE - Parallel and Distributed Computing - Project 1

    Language:C++551

  • bazhenov/avx-sandbox

    Simple proof-of-concept to test Intel AVX intrinsics

    Language:C20

  • llyr-who/furry

    WIP : An AVX enabled digital filter.

    Language:C++10