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And when that day comes, I will buy it. But for now I will go with nVidia. Also I badly need same CUDA codebase/documentation on AMD part as well to make such a
by unnouinceput 7y ago
And when that day comes, I will buy it. But for now I will go with nVidia. Also I badly need same CUDA codebase/documentation on AMD part as well to make such a move. ML is such a breeze when you throw CUDA at it these days.
- joe_the_user 7y agoI am stiiiill mostly reading/researching but I'm pretty sure that CUDA is crucial and OpenCL just won't cut it for ML. That said, AMD had a CUDA clone/conversion system a while back. I'm not sure where that's gone. The ideal would be to leapfrog CUDA and present something more usable and straightforward, especially something where the memory and threading model is really clear. CUDA already seem pretty good but there's always room for improvement.
- melbourne_mat 7y agoAMD has something called HIP which is a portable version of CUDA (compiles to either nvidia or amd hardware). They made a tool called HIPPIFY which can auto translate CUDA source to HIP. Haven't used it myself so I can't comment on it's effectiveness.