Accessing complex workspace data from a CUDA kernel
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In my MATLAB workspace, I have some complex data that I wish to transfer to the GPU for further processing with a CUDA kernel. Transferring the data to the GPU is easy with the gpuArray command.
However, what data type should I specify in the .cu kernel prototype to access a complex gpuArray? In the Parallel Computing Toolbox documentation, cuComplex is not listed as a supported data type for the C prototype, and when I use float2 I receive an error message about the complexity of the input not matching the prototype:
"parallel.gpu.GPUArray must match the complexity specified on the kernel prototype"
Regards, Jeremy Dillon
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King Fisher
il 27 Nov 2011
Have you written CUDA Kernel? and you are activating it by parallel.gpu.kernel('.ptx','.cu') command? if yes Would you please share your code?
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Edric Ellis
il 7 Nov 2011
You should use 'double2' to match complex double MATLAB data, and 'float2' for complex single MATLAB data.
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