Hello all, specially Gil Brandao Actually I want to start CUDA programming for my |C.I have 2 options to do: 1) Buy a new PC that will have 1 or 2 CPUs and 2 or 4 GPUs. 2) Add 1 GPUs to each of the Four nodes of my PC-Cluster.
Which one is more "natural" and "practical" way? Does a program written for any one of the above will work fine on the other? or we have to re-program for the other? Regards. On Sat, Aug 29, 2009 at 5:48 PM, <madskad...@gmail.com> wrote: > On Sat, Aug 29, 2009 at 8:42 AM, amjad ali<amja...@gmail.com> wrote: > > Hello All, > > > > > > > > I perceive following computing setups for GP-GPUs, > > > > > > > > 1) ONE PC with ONE CPU and ONE GPU, > > > > 2) ONE PC with more than one CPUs and ONE GPU > > > > 3) ONE PC with one CPU and more than ONE GPUs > > > > 4) ONE PC with TWO CPUs (e.g. Xeon Nehalems) and more than ONE GPUs > > (e.g. Nvidia C1060) > > > > 5) Cluster of PCs with each node having ONE CPU and ONE GPU > > > > 6) Cluster of PCs with each node having more than one CPUs and ONE > GPU > > > > 7) Cluster of PCs with each node having ONE CPU and more than ONE > GPUs > > > > 8) Cluster of PCs with each node having more than one CPUs and more > > than ONE GPUs. > > > > > > > > Which of these are good/realistic/practical; which are not? Which are > quite > > “natural” to use for CUDA based programs? > > > > CUDA is kind of new technology, so I don't think there is a "natural > use" yet, though I read that there people doing CUDA+MPI and there are > papers on CPU+GPU algorithms. > > > > > IMPORTANT QUESTION: Will a cuda based program will be equally good for > > some/all of these setups or we need to write different CUDA based > programs > > for each of these setups to get good efficiency? > > > > There is no "one size fits all" answer to your question. If you never > developed with CUDA, buy one GPU an try it. If it fits your problems, > scale it with the approach that makes you more comfortable (but > remember that scaling means: making bigger problems or having more > users). If you want a rule of thumb: your code must be > _truly_parallel_. If you are buying for someone else, remember that > this is a niche. The hole thing is starting, I don't thing there isn't > many people that needs much more 1 or 2 GPUs. > > > > > Comments are welcome also for AMD/ATI FireStream. > > > > put it on hold until OpenCL takes of (in the real sense, not in > "standards papers" sense), otherwise you will have to learn another > technology that even fewer people knows. > > > Gil Brandao >
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