Using the parfor loop to minimize a function

Hello,

I am completely new to MATLAB's parallel computing and I didn't know how to convert my for loop into a parfor loop. I have a function f which I would like to evaluate at 10000 different values in vector A. My laptop has 6 processors that I would like to use simultaneously to divide the task because evaluating my function is very time-consuming. So, here is how my simplified problem looks like:

A=[]; %a 10 by 6 matrix of parameter values
eval=zeros(10000,1;)
for t=1:10000
eval(t)=f(A(t,:));
end

Can you help me rewrite this for a parfor loop?

Thanks in advance!

George

Answer 1

[Rajanya]

Hi @george pepper,

The MATLAB documentation of 'parfor' covers how to convert ‘for’ loops into ‘parfor’ loops. You can either search for it by entering the following command in the MATLAB Command Window,

doc parfor

Or you can visit the below link:

https://www.mathworks.com/help/parallel-computing/parfor.html#bvi_72t-6

Thanks!