Simd
mace
| Simd | mace | |
|---|---|---|
| 1 | 1 | |
| 1,982 | 4,882 | |
| - | 0.4% | |
| 9.6 | 2.5 | |
| 4 days ago | 7 days ago | |
| C++ | C++ | |
| MIT License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Simd
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The Case of the Missing SIMD Code
I was curious about these libraries a few weeks ago and did some searching. Is there one that's got a clearly dominating set of users or contributors?
I don't know what a good way to compare these might be, other than perhaps activity/contributor count.
[1] https://github.com/simd-everywhere/simde
[2] https://github.com/ermig1979/Simd
[3] https://github.com/google/highway
[4] https://gitlab.com/libeigen/eigen
[5] https://github.com/shibatch/sleef
mace
What are some alternatives?
StringZilla - Up to 10x faster strings for C, C++, Python, Rust, and Swift, leveraging SWAR and SIMD on Arm Neon and x86 AVX2 & AVX-512-capable chips to accelerate search, sort, edit distances, alignment scores, etc 🦖
MNN - MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba
MIPP - MIPP is a portable wrapper for SIMD instructions written in C++11. It supports NEON, SSE, AVX, AVX-512 and SVE (length specific).
ncnn - ncnn is a high-performance neural network inference framework optimized for the mobile platform
eigen
pytorch_dlprim - DLPrimitives/OpenCL out of tree backend for pytorch
sse-popcount - SIMD (SSE) population count --- http://0x80.pl/articles/sse-popcount.html
TNN - TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.
fpng-java - Java Wrapper for the fast, native FPNG Encoder
CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
tensorflow - An Open Source Machine Learning Framework for Everyone