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> Another is that people unsportingly write things in cuda.

Whether we like it or not, CUDA is the de-facto standard for these things. I wonder how much effort would it take for a company the size of AMD to dedicate a couple million dollars a year to track CUDA as closely as feasible. A couple million dollars is a rounding error for a leading silicon maker.



Personally I love it but then I'm also working on a cuda to amdgpu compiler. I'm probably the only person doing that with a strix halo on his desk, should be debugging cuda on it shortly.


This is great news. We need more portable code and, with that, more competition.

A single vendor world is boring.


There and AMD-sponsored open source CUDA to ROCm transpiler out there (HIPIFY)

https://github.com/ROCm/HIPIFY


Yeah. Spectral's CTO is still the #2 contributor to that, https://github.com/ROCm/HIPIFY/graphs/contributors. They tried really hard to make hipify work before accepting that forking clang was necessary. I thought I had an issue raised about hipify needing cuda's own headers to run but I can't find it now.


It's called HIP.




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