libsimdpp
simde
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| libsimdpp | simde | |
|---|---|---|
| 1 | 7 | |
| 1,189 | 2,171 | |
| - | 3.6% | |
| 0.0 | 9.1 | |
| 4 months ago | 5 days ago | |
| C++ | C | |
| Boost Software License 1.0 | 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.
libsimdpp
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?
xsimd - C++ wrappers for SIMD intrinsics and parallelized, optimized mathematical functions (SSE, AVX, AVX512, NEON, SVE))
nsimd - Agenium Scale vectorization library for CPUs and GPUs
VectorizedKernel - Running GPGPU-like kernels on CPU with auto-vectorization for SSE/AVX/AVX512 SIMD Architectures
sse2neon - A translator from Intel SSE intrinsics to Arm/Aarch64 NEON implementation
highway - Performance-portable, length-agnostic SIMD with runtime dispatch
android-inline-hook - :fire: ShadowHook is an Android inline hook library which supports thumb, arm32 and arm64.
std-simd - std::experimental::simd for GCC [ISO/IEC TS 19570:2018]
Sparkle - A software update framework for macOS
pure_simd - A simple, extensible, portable, efficient and header-only SIMD library!
picoRTOS - Very small, lightning fast, yet portable RTOS with SMP suppport
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 🦖
simdutf - Unicode routines (UTF8, UTF16, UTF32) and Base64: billions of characters per second using SSE2, AVX2, NEON, AVX-512, RISC-V Vector Extension. Part of Node.js and Bun.