Comments by "Vitaly L" (@vitalyl1327) on "Writing Code That Runs FAST on a GPU" video.

@dmitripogosian5084 do you realise that OpenCL is an open standard and vendor-independent, unlike CUDA? How is your comment even relevant here? There is nothing that CUDA can do and OpenCL can not.
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@Miguel_Noether In your case, cost of transferring data between main memory and GPU will be prohibitive. You need to build as much of your compute pipeline on a GPU, moving data there and back is very expensive. If you want to accelerate short local computation on a GPU, you need something with a unified memory architecture (i.e., an integrated GPU).
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