beautiful code and beautiful article about it

[omac777]

I just read your article about:
https://medium.com/@mushfaqueronniechowdhury/probably-the-fastest-black-scholes-pricer-in-world-34103e97f7eb

Thank you for enlightening me with some math I otherwise wouldn't be able to understand without your article.

You are a super-hero.

[ronniec95]

Thanks man. I'm going to write a few more articles on simd coding as it's quite a mystery topic for a lot of people and I think the wide library makes a bit more accesible

[brandonros]

Dumb question: what's SIMD support like for the instructions you use on Apple M1/M2 (aarch64/ARM64)? This is all x86_64 optimized/specific right?

[ronniec95]

Unfortunately not. I used the "wide" library (for which I contributed all the transcendental functions used in this lib) but only for x64. If "wide" lib in upgraded to M1 intrinsics then this will benefit automatically. Sorry about that. In the mean time, the API still works on ARM chips but depends on the compiler to vectorise

…

On Sat, 26 Nov 2022, 20:52 Brandon Ros, ***@***.***> wrote: Dumb question: what's SIMD support like for the instructions you use on Apple M1/M2 (aarch64/ARM64)? This is all x86_64 optimized/specific right? — Reply to this email directly, view it on GitHub <#1 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAGY5WACAOUEZZAOFAX5TULWKJZ73ANCNFSM4QTWQ6QA> . You are receiving this because you commented.Message ID: ***@***.***>

[bitbugprime]

Dumb question: what's SIMD support like for the instructions you use on Apple M1/M2 (aarch64/ARM64)? This is all x86_64 optimized/specific right?

Assuming we're talking about Lokathor/wide the current README implies it can use aarch64 intrinsics now.