The Case of the Missing SIMD Code

1. sleef

   1 18 707 8.9 C

   SIMD Library for Evaluating Elementary Functions, vectorized libm and DFT

   

   I'm the main author of Highway, so I have some opinions :D Number of operations/platforms supported are important criteria.

   A hopefully unbiased commentary:

   Simde allows you to take existing nonportable intrinsics and get them to run on another platform. This is useful when you have a bunch of existing code and tight deadlines. The downside is less than optimal performance - a portable abstraction can be more efficient than forcing one platform to exactly match the semantics of another. Although a ton of effort has gone into Simde, sometimes it also resorts to autovectorization which may or may not work.

   Eigen and SLEEF are mostly math-focused projects that also have a portability layer. SLEEF is designed for C and thus has type suffixes which are rather verbose, see https://github.com/shibatch/sleef/blob/master/src/libm/sleef... But it offers a complete (more so than Highway's) libm.

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3. simde

   2 9 2,590 9.2 C

   Implementations of SIMD instruction sets for systems which don't natively support them.

   

   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

4. Simd

   3 1 2,121 9.6 C++

   C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, NEON for ARM. (by ermig1979)

   

   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

5. highway

   4 74 4,461 9.6 C++

   Performance-portable, length-agnostic SIMD with runtime dispatch

   

   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

6. eigen

   5 19 - -

   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

7. MIPP

   6 1 496 6.3 C++

   Portable wrapper for SIMD and vector instructions written in C++11. Compatible with NEON, SSE, AVX, AVX-512 and SVE (length specific).

   

   I've also run into this thinking, and have been looking to solve it in codebases I'm working on.

   I've run across: https://github.com/aff3ct/MIPP but have not worked with it extensively yet. It looks to be a solution to the rewriting X parallel pipeline into Y SIMD extensions.

   Perhaps something like this, or languages introducing something similar into their standard libraries/modules would be a solution.

   None of this of course solves the run-time detection of capability/growing binary size to support such.

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