Is there a way to speed up gpuarray loop?

Dear All,

I am stuck in the folowing function. I would like to speed up this calculation for GPU, unfortunately now it is very slow.

clear;
p1=[1 2 2 5 4];
idx2=[1 3 4]
idx1=gpuArray(idx2);
p=gpuArray(p1);
tic
for k1=1:1000
cc=p(p);
for i=1:5 
       k=any(p(i)==idx1);
         k1=any(cc(i)==idx1);
         k3=idx1(cc(i)==idx1);
       %[idxx]=arrayfun(@testas,k,k1,k3,bb(i));
       idx1(cc(i)==idx1)=i;

end
end
toc

cc=p(p) is inside the loop, because in my algorithm it would change during every iteration.

[KSSV]

You need to check whether using gpu array is necessary? Computations on GPU will be faster if your data is huge. For less data, GPU simulations tend to be slower than CPU. First check the same with CPU and compare times with GPU.

[Mantas Vaitonis]

The data needed to compute is quite big, for example matrix of size 5000000x100. Thus k1 is the size of 5000000 and i =100. I am trying to move speed sensitive functions to GPU in order to speed up whole algorithm.

Answer 1

[Mantas Vaitonis]

Did find a sollution using cellfun.