Implementations of SIMD instruction sets for systems which don't natively support them.

• UpdatedFeb 20, 2026
• C

Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)

• UpdatedJul 15, 2019

Boost SIMD

• UpdatedApr 10, 2019

Recommending Music using a Convolutional Neural Network.

• UpdatedMay 4, 2019
• Python

Music genre classification model using CRNN

• UpdatedSep 27, 2018
• Python

This package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem

• UpdatedJan 5, 2026
• Julia

GF180 ASIC tapeout of a 2x2 MAC with DFT infrastructure

• UpdatedJan 13, 2026
• Verilog

FMA Transmutation Circles

• UpdatedFeb 13, 2019
• TypeScript

Computing FLOPs with Intel Software Development Emulator (Intel SDE)

• UpdatedOct 22, 2023
• Python

Data pipeline and training pipeline for 🎵 music genre classification from FMA dataset

• UpdatedDec 8, 2022
• Jupyter Notebook

A collection of highly optimized, SIMD-accelerated (SSE, AVX, FMA, NEON) functions written in C

• UpdatedOct 19, 2021
• C

software implementation of Fused-Multiply Add for 64-bit floats

• UpdatedAug 6, 2020
• Go

Fast avx2/fma3 dgemm and sgemm subroutines for medium to large matrices(>2000*2000) on haswell/skylake/zen processors, with performances comparable to MKL.

• UpdatedMar 23, 2020
• C

X86-64 bilateral instruction tokenizer implemented in C. Supports the following processor extensions: AES, AVX, AVX2, AVX512, FMA, MMX, SSE, SSE2, SSE3, SSE4, x87(FPU), VMX. In order to ease testing, a diassembler which transforms tokens into compilable assembly (for NASM compiler) has been implemented.

• UpdatedOct 2, 2022
• C

VectorFFT is a vectorized, pure C FFT library optimized for x86 processors (AVX-512, AVX2, SSE2) with zero external dependencies. It implements mixed-radix algorithms for common sizes and Bluestein's method for arbitrary lengths, with OpenMP multi-threading for large transforms. Designed for both digital signal processing and financial applications

• UpdatedNov 12, 2025
• C

FMA convnet features

• UpdatedMay 24, 2017

Fused Multiply Add (FMA) operation on Altera DE1-SoC Cyclone V development board.

• UpdatedAug 7, 2017
• Verilog

Python library to detect CPU SIMD capabilities.

• UpdatedFeb 16, 2021
• C

offline artistic image generator

• UpdatedApr 29, 2020
• C

Test FMA on RaspberryPI CPU&GPU

• UpdatedOct 16, 2021
• C