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> I've been exploring general purpose computing with both CUDA and Apple Silicon and am having a lot better luck using SIMD intrinsics instead What sort of pro

• Kon-Peki 4y ago
  I am writing some stuff that will hopefully be published next year, so I don't want to get into it too much now. But it basically started with this sequence of text from "Is Parallel Programming Hard, And, If So, What Can You Do About It?" [0]: > Parallel programming has earned a reputation as one of the most difficult areas a hacker can tackle. > However, new technologies that are difficult to use at introduction invariably become easier over time. > Therefore, if you wish to argue that parallel programming will remain as difficult as it is currently perceived by many to be, it is you who bears the burden of proof We are now in an era in which is it nearly impossible for the average consumer to buy a computing product that doesn't have multiple cores, SIMD, and a GPGPU. So I felt that it was time to explore how to do it with everyday basic general computing tasks. I was starting with nearly zero experience and writing what I've been learning :) By the way, even the Raspberry Pi 4 does very nicely with ARM Neon, though it doesn't improve with multiple threads concurrently executing SIMD code like Apple Silicon does! [0] https://mirrors.edge.kernel.org/pub/linux/kernel/people/paulmck/perfbook/perfbook.html https://mirrors.edge.kernel.org/pub/linux/kernel/people/paul...