Some computationally intensive software are now using the GPU to solve mathematical problems. Now that flash has GPU support, is it possible to use flash t开发者_运维技巧o crunch math problems? How wo
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I\'m interested in making a faster Myers diff implementation by running it on a GPU, i.e. with OpenCL.I have a good understanding of the algorithm but am new to GPU programming.My hunch is that the GP
I\'m developing a generic streaming CUDA kernel execution Framework that allows parallel data copy & execution on the GPU.
I just noted that one of the first languages for the Connection-Machine of W.D. Hillis was *Lisp, an extension of Common Lisp with parallel constructs. The Connection-Machine was a massively parallel
this program seems be fine but I still getting an erro, some suggestion? Program: #include \"dot.h\" #include <cuda.h>
What are the key practical differences between GPGPU开发者_Python百科 and regular multicore/multithreaded CPU programming, from the programmer\'s perspective?Specifically:
I\'ll try and make this clear; I\'ve got two classes; GPU(Object), for general access to GPU functionality, and multifunc(threading.Thread) for a particular function I\'m trying to multi-device-ify.
Anyone following CUDA will probably have seen a few of my queries regarding a project I\'m involved in, but for those who haven\'t I\'ll summarize. (Sorry for the long question in advance)
I\'m brand new to using OpenCL, and this seems like it should be very simple, so bear with me. I\'m writing a simple kernel to scan an array and look for a particular value.If that value is found any
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