How to speed up this loops?

Hi,
Is there a way to speed up this?
maxN = 120;
x = -30:0.1:30;
xElements = numel(x);
u_mn = zeros(xElements, xElements);
for m = -maxN:2:maxN
for i = 1 : xElements
for j = 1 : xElements
u_mn(i, j) = sqrt((n+1)/pi) * besselj(m+1, 2*sqrt(x(i)^2 + x(j)^2)) / sqrt(x(i)^2 + x(j)^2)^(m+1) * (x(i) + 1i*x(j))^m;
end
end
end
Best regards, Alex

4 Comments

CS Researcher
CS Researcher on 1 Jun 2016
Edited: CS Researcher on 1 Jun 2016
What is n here? Is there another loop for it?
Im sorry, youre right, there is. The entire code is:
x = -30:0.1:30;
xElements = numel(x);
maxN = 120;
parfor n = 0:maxN
u_mn(:, :, n+1) = firstTestFunct(maxN, xElements, x, n);
end
u_mnSummed = sum(u_mn, 3);
and the function:
function u_mn = firstTestFunct(maxN, xElements, x, n)
u_mn = zeros(xElements, xElements);
for m = -maxN:2:maxN
for i = 1 : xElements
for j = 1 : xElements
u_mn(i, j) = sqrt((n+1)/pi) * besselj(m+1, 2*sqrt(x(i)^2 + x(j)^2)) / sqrt(x(i)^2 + x(j)^2)^(m+1) * (x(i) + 1i*x(j))^m;
end
end
end
This is the fastest version I have now.
You do not store the results for each different m, and you are not summing them or anything like that, so the effect is as if you had only done the final m value.
Thanky you, obviously, you are right. the middle line in the loops should look like this:
for m = -maxN:2:maxN
for i = 1 : xElements
for j = 1 : xElements
u_mn(i, j) = u_mn(i, j) + sqrt((n+1)/pi) * besselj(m+1, 2*sqrt(x(i)^2 + x(j)^2)) / sqrt(x(i)^2 + x(j)^2)^(m+1) * (x(i) + 1i*x(j))^m;
end
end
end
But still, how to speed this up? Its not working to fast right now.

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 Accepted Answer

You can create a mex function of your firstTestFunct by
xx = 1;
codegen firstTestFunct -args {xx, xx, xx, xx}
You need to do it only once. It will generate a mex file. To call the generated mex file, you just need to replace firstTestFunct with firstTestFunct_mex .

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