101–110 of 263 posts
Isn't the better abstraction here to use a higher level library in the style of pandas/polars that will operate as vectors, compose and feel readable and inuitive, while (almost?) maxing out SIMD?
Most code cannot be expressed this way unfortunately
It's been at least a decade for me since SIMD was more than an implementation detail handled by the runtime. And even then it was "how do I avoid preventing the runtime from vectorizing this".
It distresses me that we don’t have a language that can do a best effort parallelization of arbitrary loop like code across SIMD, multiple threads, multiple cores and GPU with a small directive. I don’t need it to be optimal, just … handy as an option! The last time I brought this up here, folks offered a bunch of options that don’t quite do this, and the best candidate was this 15 year old compiler project that is I…
I doubt GPU is included by most runtimes yet, but for the rest of that have you tried SQL?
It seems like somewhere in there he could have explained the acronym.
It distresses me that we don’t have a language that can do a best effort parallelization of arbitrary loop like code across SIMD, multiple threads, multiple cores and GPU with a small directive. I don’t need it to be optimal, just … handy as an option! The last time I brought this up here, folks offered a bunch of options that don’t quite do this, and the best candidate was this 15 year old compiler project that is I…
The problem is you need both a PL nerd and a performance nerd and while that group has some overlap so these people are not as uncommon as you’d think the task is pretty hard so you need a lot of people on it, with a bunch of funding, etc. Usually it’s just cheaper to rewrite all your code by that point and so these efforts fail
It distresses me that we don’t have a language that can do a best effort parallelization of arbitrary loop like code across SIMD, multiple threads, multiple cores and GPU with a small directive. I don’t need it to be optimal, just … handy as an option! The last time I brought this up here, folks offered a bunch of options that don’t quite do this, and the best candidate was this 15 year old compiler project that is I…
> best effort parallelization of arbitrary loop like code across SIMD, multiple threads, multiple cores and GPU with a small directive. I doubt GPU is included by most runtimes yet, but for the rest of that have you tried SQL?
It distresses me that we don’t have a language that can do a best effort parallelization of arbitrary loop like code across SIMD, multiple threads, multiple cores and GPU with a small directive. I don’t need it to be optimal, just … handy as an option! The last time I brought this up here, folks offered a bunch of options that don’t quite do this, and the best candidate was this 15 year old compiler project that is I…
ISPC isn’t Intel-only: https://github.com/ispc/ispc
Earlier quoted context omitted.
in many cases often its faster just to switch from debug to release - compilers are good to vectorise many loops. Worth to give it a try before rewriting clean loop/code into SIMD/NEON.
Stop using electron