simd_utils
simde
Our great sponsors
| simd_utils | simde | |
|---|---|---|
| 1 | 7 | |
| 80 | 2,171 | |
| - | 3.6% | |
| 6.6 | 9.1 | |
| about 1 month ago | 4 days ago | |
| C | C | |
| BSD 2-clause "Simplified" 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.
simd_utils
-
Trying to convert permute AVX512 instruction to AVX2/AVX calls
https://github.com/JishinMaster/simd_utils/tree/master .
simde
-
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
-
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
-
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
-
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
-
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
cglm - 📽 Highly Optimized 2D / 3D Graphics Math (glm) for C
sse2neon - A translator from Intel SSE intrinsics to Arm/Aarch64 NEON implementation
ara - The PULP Ara is a 64-bit Vector Unit, compatible with the RISC-V Vector Extension Version 1.0, working as a coprocessor to CORE-V's CVA6 core
android-inline-hook - :fire: ShadowHook is an Android inline hook library which supports thumb, arm32 and arm64.
intel-intrinsics - The Dlang SIMD library
libsimdpp - Portable header-only C++ low level SIMD library
camellia-simd-aesni - Camellia cipher SIMD vector implementations for x86 (with AES-NI, VAES and/or GFNI instructions), ARM (with ARMv8 Crypto Extension instructions) and POWER (with VMX+VSX+crypto instructions)
Sparkle - A software update framework for macOS
picoRTOS - Very small, lightning fast, yet portable RTOS with SMP suppport
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.