A little more on topic, if you like SIMD and C#, dotnet/runtime now has an introductory guide to Vector128/256/512<T> API: https://github.com/dotnet/runtime/bl

A little more on topic, if you like SIMD and C#, dotnet/runtime now has an introductory guide to Vector128/256/512<T> API: https://github.com/dotnet/runtime/blob/main/docs/coding-guidelines/vectorization-guidelines.md https://github.com/dotnet/runtime/blob/main/docs/coding-guid... Now, the default syntax can still be a bit more wordy with byref arithmetics than ideal, but you can add a few extension methods to make it look it closer to Rust's pointer arithmetics: https://github.com/U8String/U8String/blob/main/Sources/U8String/CaseConverters/U8AsciiCaseConverter.cs#L153-L171 https://github.com/U8String/U8String/blob/main/Sources/U8Str... (unrelated note but .NET lowers this to vpternlogd if AVX512VL is available) You can find more examples of SIMD use in dotnet/runtime if that interests you: https://grep.app/search?q=Vector%28128%7C256%7C512%29%3C%5Cw%2B%3E&regexp=true&filter[lang][0]=C%23&filter[repo][0]=dotnet/runtime https://grep.app/search?q=Vector%28128%7C256%7C512%29%3C%5Cw... Many paths are vectorized: to/from hexadecimal byte conversion, unicode encoding/decoding, various hash algorithms, counting and searching for elements, chunking text, there's a BLAS library now too and more.