95 Open source projects that are alternatives of or similar to Libpopcnt

SIMD (SWAR/SSE/SSE4/AVX2/AVX512F/ARM Neon) of Karp-Rabin algorithm's modification

C++ image processing and machine learning library with using of SIMD: SSE, SSE2, SSE3, SSSE3, SSE4.1, SSE4.2, AVX, AVX2, AVX-512, VMX(Altivec) and VSX(Power7), NEON for ARM.

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

Portable header-only C++ low level SIMD library

Performance-portable, length-agnostic SIMD with runtime dispatch

Boost SIMD

Agenium Scale vectorization library for CPUs and GPUs

Realtime raytracer using SIMD on ARM, MIPS, PPC and x86

UME::SIMD A library for explicit simd vectorization.

Base64 coding and decoding with SIMD instructions (SSE/AVX2/AVX512F/AVX512BW/AVX512VBMI/ARM Neon)

SIMD macro assembler unified for ARM, MIPS, PPC and x86

SIMD Vector Classes for C++

Library for specialized dense and sparse matrix operations, and deep learning primitives.

C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, NEON, AVX512)

⚡️⚡️⚡️Blazing fast correlation functions on the CPU.

DirectXMath is an all inline SIMD C++ linear algebra library for use in games and graphics apps

Storage for my snippets, toy programs, etc.

Open Source Architecture Code Analyzer

DSL for SIMD Sorting on AVX2 & AVX512

Native Go version of HighwayHash with optimized assembly implementations on Intel and ARM. Able to process over 10 GB/sec on a single core on Intel CPUs - https://en.wikipedia.org/wiki/HighwayHash

C++ SIMD Noise Library

Support for ternary logic in SSE, XOP, AVX2 and x86 programs

oneAPI Deep Neural Network Library (oneDNN)

Parsing gigabytes of JSON per second

Accelerate aggregated MD5 hashing performance up to 8x for AVX512 and 4x for AVX2. Useful for server applications that need to compute many MD5 sums in parallel.

SIMD (SSE) population count --- http://0x80.pl/articles/sse-popcount.html

Visual Studio extension for assembly syntax highlighting and code completion in assembly files and the disassembly window

SIMD Library for Evaluating Elementary Functions, vectorized libm and DFT

SIMDized check which bytes are in a set

Examples of C# code compiled to GPU by hybridizer

SIMD-accelerated UTF-8 validation for Rust.

Fast UTF-8 validation with range algorithm (NEON+SSE4+AVX2)

std::experimental::simd for GCC [ISO/IEC TS 19570:2018]

std::find simd version

Fast C functions for the computing the positional popcount (pospopcnt).

Unicode routines (UTF8, UTF16): billions of characters per second.

TensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA; XLA

Fast, modern C++ DSP framework, FFT, Sample Rate Conversion, FIR/IIR/Biquad Filters (SSE, AVX, AVX-512, ARM NEON)

The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

🎶 Cookbook for Nette Framework (@nette) & Contributte (@contributte). Read it while its HOT!

The little simulator that could.

Efficient monocular visual odometry for ground vehicles on ARM processors

Futuristic Grinder for Legacy Code with Effortles Confidence

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

📽 Highly Optimized Graphics Math (glm) for C

A colorful bright-on-black color scheme for Sublime Text and TextMate. Its aim is to make as many languages as possible look as good as possible. Includes extended support for Python, Ruby, Clojure, JavaScript/JSON, C/C++, diff, HTML/XML, Markdown, PHP, CSS/SCSS/SASS, GitGutter, Find In Files, PackageDev, Regex, SublimeLinter, and much more.

BLAKE3 hashing for JavaScript: native Node bindings (where available) and WebAssembly

🍸 Encodes and decodes NEON file format.

Accelerate SHA256 computations in pure Go using 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.

A minimal library for building compiled Node.js add-ons in Rust

Code for paper "Base64 encoding and decoding at almost the speed of a memory copy"

x86 Disassembler and Analyzer

Fastest Integer Compression

C# bindings for lemire/simdjson (and full C# port)

Math library using hlsl syntax with SSE/NEON support

🍬 A dark and modern theme for firefox with vibrant colors

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

Intel® Nervana™ reference deep learning framework committed to best performance on all hardware

Fast inference engine for OpenNMT models

Optimized Recursive Bilateral Filter