access to a gpuArray from a MEX file?
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I did a lot of work with CUDA MEX files before gpuArray was an option. Now I would like to simplify my interface to these MEX files by allowing them to access data that the user has stored in gpuArrays -- but I do not want to rewrite all my code.
So: what I need is a way for my MEX code to access a gpuArray's internal pointer to GPU memory, and other metadata. Is there a way to do this?
I suppose I would also need access to the Parallel Computing Toolbox's CUDA context for this to work.
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Edric Ellis
2011년 7월 14일
You're right that you need Parallel Computing Toolbox to access gpuArray functionality. We don't offer a MEX interface with gpuArrays, but we do offer the CUDAKernel which allows you to use gpuArrays together with hand-written CUDA code. Here's the doc for CUDAKernel.
We think that CUDAKernel is easier to use than a MEX layer because you only need to write the "__global__" entry points for CUDA, you don't need to write any of the code to marshal data in and out of mxArrays.
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Daniel Armyr
2013년 3월 18일
With the release of 2013a, though, you can do what the original poster wanted. See this: http://www.mathworks.se/help/distcomp/create-and-run-mex-files-containing-cuda-code.html
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John Melonakos
2011년 7월 17일
Jacket users have access to the Jacket SDK that has advantages over the other two approaches: http://blog.accelereyes.com/blog/2010/10/29/jacket_sdk_trumps_mex/
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