aleinin

One that I’ve seen recently is https://reducto.ai It appears to be an OCR wrapper.

Cool project! How do you think about targeting hardware-specific ISAs directly? There’s an interesting paper from Citadel (https://arxiv.org/pdf/1804.06826) that highlights inefficiencies in nvcc for the Volta architecture. Do you see Luminal’s search-based paradigm eventually extending beyond outperforming handwritten kernels, towards actually competing with NVIDIA’s compiler optimizations at the PTX level?

If you're looking for a high level introduction to GPU development on Apple silicon I would recommend learning Metal. It's Apple's GPU acceleration language similar to CUDA for Nvidia hardware. I ported a set of puzzles for CUDA called GPU-Puzzles (a collection of exercises designed to teach GPU programming fundamentals)[1] to Metal [2]. I think it's a very accessible introduction to Metal and writing GPU kernels.

[1] https://github.com/srush/GPU-Puzzles

[2] https://github.com/abeleinin/Metal-Puzzles

I recently ported this to Metal for Apple Silicon computers. If you're interested in learning GPU programming on an M series Mac, I think this is a very accessible option. Thanks to Sasha for making this!

https://github.com/abeleinin/Metal-Puzzles