A response from the SIMD.info folks:

Yeah, the plan is to get all SIMD engines there, RVV is the hardest though (20k intrinsics). Currently we're doing IBM Z, which should be done probably within the month? It still needs some work, and progress is slow because we're just using our own funds. Plan is IBM Z (currently worked on), Loongson LSX/LASX, MIPS MSA, ARM SVE/SVE2 and finally RVV 1.0. LSX/LASX and MSA are very easy. Ideally, I'd like to open source everything, but I can't just now, as I would just hand over all the data to big players like OpenAI. Once I manage to ensure adequate funding, we're going to open source the data (SIMD.info) and probably the model itself (SIMD.ai).

https://dougallj.github.io/asil/ is like officedaytime but for SVE.

https://github.com/dzaima/intrinsics-viewer is like Intels Guide, but also for Arm, RISC-V and wasm.

RISC-V and wasm are hosted here: https://dzaima.github.io/intrinsics-viewer/

You need to download it your self if you want to use the others.

Thanks for your comment. We have noticed some strange behavior with the “search” feature, you are right to mention that & we are currently trying to improve its performance. Regarding the SHA you don’t get any results when filtering out NEON or VSX, because the AVX512 SHA intrinsics hasn’t been added yet (under dev atm). When searching for “HASH”, the first 3 results that you get are correct (NEON), the other ones are as mentioned before are bad behavior of the search component - it must have found some similarity.