Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
-
Updated
Sep 7, 2026 - C++
Parsing gigabytes of JSON per second : used by Facebook/Meta Velox, the Node.js runtime, ClickHouse, WatermelonDB, Apache Doris, Milvus, StarRocks
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
Fast inference engine for Transformer models
Performance-portable, length-agnostic SIMD with runtime dispatch
Roaring bitmaps in C (and C++), with SIMD (AVX2, AVX-512 and NEON) optimizations: used by Apache Doris, ClickHouse, Alibaba Tair, Redpanda, YDB and StarRocks
SIMD Library for Evaluating Elementary Functions, vectorized libm and DFT
SIMD Vector Classes for C++
Unicode routines (UTF8, UTF16, UTF32) and Base64: billions of characters per second using SSE2, AVX2, NEON, AVX-512, RISC-V Vector Extension, LoongArch64, POWER. Part of Node.js, WebKit/Safari, Ladybird, Chromium, Cloudflare Workers, Ghostty and Bun.
Fastest Integer Compression
Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)
Visual Studio extension for assembly syntax highlighting and code completion in assembly files and the disassembly window
C++ SIMD Noise Library
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
Expressive Vector Engine - SIMD in C++ Goes Brrrr
C++ template library for high performance SIMD based sorting algorithms
Delphi Web Script general purpose scripting engine
⚡️⚡️⚡️Blazing fast correlation functions on the CPU.
To associate your repository with the avx2 topic, visit your repo's landing page and select "manage topics."