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