arm-neon

ncnn is a high-performance neural network inference framework optimized for the mobile platform

SIMD-accelerated distances, dot products, matrix ops, geospatial & geometric kernels for 16 numeric types — from 6-bit floats to 64-bit complex — across x86, Arm, RISC-V, and WASM, with bindings for Python, Rust, C, C++, Swift, JS, and Go 📐

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

FeatherCNN is a high performance inference engine for convolutional neural networks.

🚀 Fast prime number generator

A modern C++17 glTF 2.0 library focused on speed, correctness, and usability

🚀 Fast prime counting function library

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

Heterogeneous Run Time version of Caffe. Added heterogeneous capabilities to the Caffe, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original Caffe architecture which users deploy their applications seamlessly.

arm neon 相关文档和指令意义

benchmark for embededded-ai deep learning inference engines, such as NCNN / TNN / MNN / TensorFlow Lite etc.

RV: A Unified Region Vectorizer for LLVM

Hardware-accelerated, zero-copy systems file scanner for Node.js. Powered by AVX-512/AVX2/NEON SIMD, kernel mmap, and persistent thread pools for 50+ GB/s throughput with 0 MB V8 heap.

Heterogeneous Run Time version of MXNet. Added heterogeneous capabilities to the MXNet, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original MXNet architecture which users deploy their applications seamlessly.

[MobiCom 24] Adaptive DNN inference under memory constraints

Single Header Quite Fast QOI(Quite OK Image Format) Implementation written in C++20

Heterogeneous Run Time version of TensorFlow. Added heterogeneous capabilities to the TensorFlow, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous embedded platform. It also retains all the features of the original TensorFlow architecture which users deploy their applications seamlessly.

NZ1 - NanoZip 1: ultra-fast, dependency-free, portable C compression library optimized for embedded and high-performance use. Full docs: https://ferki-git-creator.github.io/nz1-site/

Custom llama.cpp fork with character intelligence engine: control vectors, attention bias, head rescaling, attention temperature, fast weight memory

NEON ARMv8 SHA3_2x: 2 times SHA3 or SHAKE128/256 in 01 call. Use In Post-Quantum Cryptography Submission