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Toy problems? GPGPU is widely used in real-world applications such as image processing, compression, computer graphics, physical simulations, cryptography and machine learning, which are all embarrassingly parallel. With regards to programming, I would not all CUDA and OpenCL crude at all.


Interesting in that almost all those problems are share-nothing, i.e. no shared state.




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