neon
Here are 205 public repositories matching this topic...
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
-
Updated
Nov 4, 2020 - C++
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
-
Updated
May 22, 2019 - Python
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
-
Updated
Aug 28, 2020 - C++
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.
-
Updated
Nov 13, 2020 - C++
SIMD Vector Classes for C++
-
Updated
Aug 28, 2020 - C++
C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, NEON, AVX512)
-
Updated
Nov 10, 2020 - C++
AVX-512BW functions
https://software.intel.com/sites/landingpage/IntrinsicsGuide/#avx512techs=AVX512BW
- _cvtmask32_u32
- _cvtmask64_u64
- _cvtu32_mask32
- _cvtu64_mask64
- _kadd_mask32
- _kadd_mask64
- _kand_mask32
- _kand_mask64
- _kandn_mask32
- _kandn_mask64
- _knot_mask32
- _knot_mask64
- _kor_mask32
- _kor_mask64
- _kort
-
Updated
Nov 9, 2020 - C
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
-
Updated
Sep 16, 2020 - Go
C++ SIMD Noise Library
-
Updated
Sep 20, 2020 - C++
SIMD Library for Evaluating Elementary Functions, vectorized libm and DFT
-
Updated
Nov 10, 2020 - C
A translator from Intel SSE intrinsics to Arm/Aarch64 NEON implementation
-
Updated
Nov 10, 2020 - C
Everything is just fine in debug mode, but node.exe exit with status 1 while loading the .node file compiled with --release flag
See https://github.com/napi-rs/package-template/actions/runs/361398266
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.
-
Updated
Oct 23, 2020 - Yacc
JeVois smart machine vision framework
-
Updated
Sep 10, 2020 - C
SIMD (SWAR/SSE/SSE4/AVX2/AVX512F/ARM Neon) of Karp-Rabin algorithm's modification
-
Updated
Mar 4, 2020 - C++
Math library using hlsl syntax with SSE/NEON support
-
Updated
Nov 10, 2020 - C++
Agenium Scale vectorization library for CPUs and GPUs
-
Updated
Nov 10, 2020 - Python
Efficient monocular visual odometry for ground vehicles on ARM processors
-
Updated
Sep 2, 2020 - C++
Improve this page
Add a description, image, and links to the neon topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the neon topic, visit your repo's landing page and select "manage topics."


https://github.com/simd-everywhere/simde has done their first release ( https://simd-everywhere.github.io/blog/announcements/release/2020/06/21/0.5.0-release.html ) and it seems like something potentially useful for merging code paths. The most likely candidate I imagine is using SIMD code to replace the non-SIMD fallback path, but maybe it'd be worth checking if it can be used to merge ARM and x8