Speed up a for loop by utilizing a gpu

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Hello, I'm trying to speed up the following for loop
for n=1:size(Q_test,3)
Q_test(:,:,n) = sigma(n) / 2 / mass(n) * Q_in(:,:,n);
end
I tried implementing this with all the above arrays being gpuArrays and running
Q_gpu = arrayfun(@scale_Q,sigmaE_gpu,mass_gpu,Q_gpu,size(Q_gpu,3));
function output = scale_Q(sigma,mass,Q_in,itterations)
output = zeros(size(Q_in),'single');
for n=1:itterations
output(:,:,n) = sigma(n) / 2 / mass(n) * Q_in(:,:,n);
end
end
but I get the error
"Error using gpuArray/arrayfun
Arrays have incompatible sizes for this operation."
% Error using gpuArray/arrayfun
% Arrays have incompatible sizes for this operation.
Any help would be appriciated!

采纳的回答

tiwwexx
tiwwexx 2022-6-30
This solution was given by Jan here.
Q_gpu = reshape(0.5*sigmaE_gpu./mass_gpu,1,1,size(sigmaE_gpu,1)).*Q_gpu;

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