How to increase speed of a multi-vector calculation

Question

moh mor 2023-12-18

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/2061847-how-to-increase-speed-of-a-multi-vector-calculation

评论： moh mor 2023-12-18

Hello,

I have implemented a loop like this:

for coorC = 1:numel(y1f),
      
    AF_Nunir(:,coorC) = AF_surff( x1f.', y1f.', x1f(coorC), y1f(coorC), (Xr.')*0.015, (Yr.')*0.015 ,K);
            
end

and:

function z = AF_surff(u , v, u0 , v0 , X, Y , K )
distance = (sqrt((X-u0).^2 + (Y-v0).^2 + 0.4^2) - sqrt((X - u).^2 + (Y - v).^2 + 0.4^2));
AF_out1 = sum(exp(1j*(K.').*(distance(:).')),1);
AF_out2 = sum(reshape(AF_out1,[numel(X),numel(u)]),1);
z = AF_out2;
end

where "K", "Xr", "Yr", "x1f", and "y1f" are vector. I could implement this code using multiple nested "for" loop. But, I'd rather using vector computation in order to increase running speed. Above block must be rUn multiple times in our code, So it is crucial to implement this blcok efficiently. This takes 145s in a "core i9 12900K" CPU. What is your advice to perform this manipulations efficiently? I've heard about parallel computing. Does it effectively play a crucial role for solving this kind of problem?

Any help would be appreciated.

Thank you