simd_decimal VS simde

Compare this neon parser and this sse parser, or for a very direct example what happens if you naively do the x86 method of vector search on arm. The shuffle and accumulation for each parser is drastically different, since the set of horizontal multiply-accumulates are different.

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

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

SIMDe is everything you're after: https://github.com/simd-everywhere/simde

> 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

> 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.