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I am trying to solve an entropy problem on GPU using simplex optimisation. Because each iteration of simplex relies on the previous one I believe that there is no way that I can make my algorithm parallel.

However having done some research on PyOpenCl and Numbapro, OpenCl offers a type of programming architecture called SIMD. I just wondered if Numbapro would offer the same?

So far I have tried jit, autojit & vectorize for some part of the code but there was no sign of performance improvement.

talonmies
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Ali S
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1 Answers1

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Yes, it does.

Please watch the video at https://developer.nvidia.com/how-to-cuda-python - it shows exactly what you are interested in.

Maciej Nowicki
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