Loop on gpu
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Hi there, for multiple cores on CPU you can use parfor. But for a loop on gpu how can you speed it up?
Any help?
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Accepted Answer
Edric Ellis
on 26 Mar 2012
Edited: Edric Ellis
on 3 Feb 2023
The nearest equivalent on the GPU is to use arrayfun. This implicitly loops over each element of your input gpuArray, so there's no need for an explicit parfor loop.
Have a look at this demo which shows using a while loop inside a call to arrayfun on the GPU. In this case, the arrayfun call parallelises operations on each element of a large array, and the function running on the GPU includes a for loop.
2 Comments
Maniprakash Reddy Gunturu
on 8 Nov 2017
Answer is so helpful for me but my problem is quite different from the above problem. can you please help me to solve the below problem.
function [s,q]=initial(p,cn)
if cn<5
s=100./cn;
q=s+p;
cn(2,1)=s+2;
else
s=500./cn;
q=s+p;
cn(2,1)=s+4;
end
p=gpuArray([4;5;7;8;7;8;7;2]);
cn=gpuArray([15]);
[s,q]=arrayfun(@initial,p,cn)
my problem is similar to above code. i want to run the above code through "parallel computations using GPU".
my questions are
1. can use "ARRAYFUN" (my inputs (cn,p) have different size) to solve the above problem? i need to get "cn(i+1)" value from s(i).
2. if not how can i solve above problem through "parallel computations using GPU".
AVINABA BISWAS
on 16 May 2020
Yes. I have also the similar situation. Means I have created a function and I want to call this function by using inputs which are already in gpuarray.
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