how can I make the following for loop faster?

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Hello everyone, I'm working in a code and I would like to speed up a for loop. I have this piece of code that I would like to make faster. Maybe someone could give me a hint of something I could do. p and th are (Nx+1,Nz+1) matrices. wp, wth are scalar constants.
while err > tol
ptemp = p;
thtemp = th;
for i = 2:Nx
for j = 2:Nz
Thpnm = thn(i,j);
hpn = Hn(i,j);
if (ptemp(i,j) > 0 || thtemp(i,j) >= 1)
PE = ((Thpnm*hpn - h(i,j)*th(i,j))/dt - (U*(h(i,j)*th(i,j) - h(i-1,j)*th(i-1,j)))/(2*dx) + (p(i+1,j)*(htemp3(i,j) ...
+ htemp3(i+1,j))*(PHx(i,j)/4 + PHx(i+1,j)/4) + p(i-1,j)*(htemp3(i,j) + htemp3(i-1,j))*(PHx(i,j)/4 ...
+ PHx(i-1,j)/4))/(12*dx^2*nu) + (p(i,j+1)*(htemp3(i,j) + htemp3(i,j+1))*(PHz(i,j)/4 + PHz(i,j+1)/4);
p(i,j) = wp*PE + (1 - wp)*ptemp(i,j);
if (p(i,j) >= 0)
th(i,j) = 1;
else
p(i,j) = 0;
end
end
if (p(i,j) <= 0 || th(i,j) < 1)
THETA = -(((htemp3(i,j) + htemp3(i+1,j))*(p(i,j) - p(i+1,j))*(PHx(i,j)/4 + PHx(i+1,j)/4) + (htemp3(i,j) + htemp3(i-1,j))*(p(i,j)...
- p(i-1,j))*(PHx(i,j)/4 + PHx(i-1,j)/4))/(12*dx^2*nu) + ((htemp3(i,j) + htemp3(i,j+1))*(p(i,j) ...
- p(i,j+1))*(PHz(i,j)/4 + PHz(i,j+1)/4) + (htemp3(i,j) + htemp3(i,j-1))*(p(i,j) - p(i,j-1))*(PHz(i,j)/4;
th(i,j) = wth*THETA + (1 - wth)*thtemp(i,j);
% th(i,j) = 1;
if (th(i,j) < 1)
p(i,j) = 0;
else
th(i,j) = 1;
end
end
end
end
%Compute error
pmax = max(max(p));
pmaxtemp = max(max(ptemp));
chpres = (pmax - pmaxtemp)/pmax;
thmax = max(max(p));
thmaxtemp = max(max(ptemp));
thchpres = (thmax - thmaxtemp)/thmax;
err = abs(chpres) + abs(thchpres);
% errth = abs(thchpres);
%Break condition
if k > 50000
break
end
%Loop increment
k = k + 1;
end

Answers (1)

Shubham
Shubham on 18 Oct 2024
Hey Gabriel,
I could give you some hints to speed up your code:
  • I noticed that some computations are being repeated, for example:
h(i,j)*th(i,j) % This is being computed multiple times for the variable PE
The repeated computations could be stored and reused.
  • Another instance of similar repeated computation is
h(i-1,j)*th(i-1,j) % Notice the indices i-1
% if h(i,j)*th(i,j) is already computed then h(i-1,j)*th(i-1,j) would have
% been computed in a prior iteration
  • MATLAB is optimized for matrix and vector operations. Try vectorizing the operations instead of computing within nested for loops.
  • Simplify and combine mathematical operations where possible to reduce computational overhead.
  • Ensure that all matrices (p, th, etc.) are preallocated before the loop to avoid dynamic resizing during each iteration.
  • If you have the Parallel Computing Toolbox, you can use parfor to parallelize the loop.
  • Use MATLAB’s profile function to identify bottlenecks in your code.
For further information on improving performance, refer to the following documentation: https://www.mathworks.com/help/matlab/matlab_prog/techniques-for-improving-performance.html#buwj1l5
I hope the above hints were useful!

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