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Use multiple Cuda Stream in a GPU compute with Matlab ?

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Benjamin
Benjamin on 24 Feb 2014
Edited: Walter Roberson on 29 Dec 2015
Hello, In my code Matlab, i have a for loop with inside a arrayfun to compute on the GPU device. I want to buy a new GPU card with the hyper-Q and cuda stream capability. So I have to know if it's possible to apply the multiple Cuda Stream to my code instead of the for loop to accelerate it.

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Answers (2)

Matt J
Matt J on 24 Feb 2014
I'm pretty confident you could do it using a dedicated MEX file, which then calls a .cu file.
I don't think the Parallel Computing Toolbox let's you do it, however. Not as of R2013, anyway.

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Benjamin
Benjamin on 25 Feb 2014
Thanks for the answer.
Actualy, today i use this code on a nvidia Tesla C1060 but it's very long to compute.
It's why we want a new GPU card, and we want fully use its power of compute.
My code is like that :
initialisation
for i=1:250
arrayfun(@function1,arg1,arg2,arg3)
arrayfun(@function2,arg1,arg2,arg3)
end
with arg1,arg2,arg3 are vector with a size of (62500,1)
since the new GPU card is much more power than the old one, i want to send to the GPU several iteration of the for loop in parallel.

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Dimitris Floros
Dimitris Floros on 28 Dec 2015
Just replying to see if you have you found a solution from within MATLAB environment. I am searching for something similar and I don't want to use .MEX because I will have to implement the functions outside MATLAB.

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