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maleadt avatar maleadt commented on August 20, 2024

What do you mean? The README is pretty explicit, no?

Reusable components for CUDA API development.

This package provides some reusable functionality for programming against CUDA or NVIDIA APIs.

Discovery is one (important) element, but there's other opportunities too, e.g. the library_types.

from cudaapi.jl.

musm avatar musm commented on August 20, 2024

Does Nvidia allow us to distributing the CUDA toolkit?

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maleadt avatar maleadt commented on August 20, 2024

Only certain parts of the toolkit are redistributable, and we currently rely on tools (nvdisasm, ptxas for CUDAnative) and libraries (cudnn for CuArrays) that aren't part of that list. Furthermore, we still need the NVIDIA driver, which is almost impossible to distribute / set-up from Julia. Nonetheless, CUDAapi would be a good place to experiment with that and implement the necessary functionality.

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musm avatar musm commented on August 20, 2024

I see, thanks for the discussion. Yes it would be interesting to see if we could distributing the parts that are allowable, if the libraries are missing from the user host PC. Closing in favor of more specific issues.

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