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
1 Comment
King Fisher
on 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?
Accepted Answer
Edric Ellis
on 7 Nov 2011
You should use 'double2' to match complex double MATLAB data, and 'float2' for complex single MATLAB data.
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