xsimd
simde
| xsimd | simde | |
|---|---|---|
| 3 | 7 | |
| 2,043 | 2,171 | |
| 1.4% | 1.5% | |
| 8.7 | 9.1 | |
| 1 day ago | 7 days ago | |
| C++ | C | |
| BSD 3-clause "New" or "Revised" License | MIT License |
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.
xsimd
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GDlog: A GPU-Accelerated Deductive Engine
https://github.com/xtensor-stack/xsimd
GH topics > HashMap:
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SIMD intrinsics and the possibility of a standard library solution
xsimd - 1.6K GH stars
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SPO600 project part 1
I've decided to switch to something better, and after a few hours of searching, I found this repository: NSIMD https://github.com/agenium-scale/nsimd FastDifferentialCoding https://github.com/lemire/FastDifferentialCoding VS https://github.com/VcDevel/Vc XSIMD https://github.com/xtensor-stack/xsimd
simde
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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
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Rise: Accelerate the Development of Open Source Software for RISC-V
I note that SIMDe doesn't have RISC-V support yet (but it does support Loongson LoongArch):
https://github.com/simd-everywhere/simde/
There are still a ton of things to do to get the Debian riscv64 port going too:
https://wiki.debian.org/PortsDocs/New
- SIMD intrinsics and the possibility of a standard library solution
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Portable SIMD library
SIMDe is everything you're after: https://github.com/simd-everywhere/simde
- SIMD Everywhere – SIMD intrinsics on hardware which doesn't support them
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Making Your Own Tools
> low level code that can run on multiple hardware architectures
I thought SIMD Everywhere was a pretty interesting project for that, lets you write x86 SSE/AVX code and run it on non-x86 architectures:
https://github.com/simd-everywhere/simde
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Adobe Photoshop Ships on Macs Apple Silicon/M1 – 50% Faster
> architecture-specific features such as SSE/AVX which is not portable.
I don’t have hands-on experience, but somewhere on HN I saw this: https://github.com/simd-everywhere/simde If starting a new cross-platform project today, I would try that library first, before doing the usual intrinsics.
What are some alternatives?
highway - Performance-portable, length-agnostic SIMD with runtime dispatch
nsimd - Agenium Scale vectorization library for CPUs and GPUs
Vc - SIMD Vector Classes for C++
sse2neon - A translator from Intel SSE intrinsics to Arm/Aarch64 NEON implementation
libsimdpp - Portable header-only C++ low level SIMD library
android-inline-hook - :fire: ShadowHook is an Android inline hook library which supports thumb, arm32 and arm64.
FastDifferentialCoding - Fast differential coding functions (using SIMD instructions)
Sparkle - A software update framework for macOS
optuna - A hyperparameter optimization framework
picoRTOS - Very small, lightning fast, yet portable RTOS with SMP suppport