You can perform several tasks in parallel using spmd (Single Program Multiple Data). For example:
% Gather all inputs into one variable
Input = [alpha1; alpha1; alpha2; alpha2; beta1; beta1; beta2; beta2];
Method = {'FresnelC'; FresnelS'; 'FresnelC'; FresnelS'; 'FresnelC'; FresnelS'; 'FresnelC'; FresnelS'};
% Open matlabpool. Requires 8 workers
matlabpool open 8
% Perform all 8 calculation together
spmd
%%%mfun cannot be a nested function, has to be an m file %%%
Results = mfun(Method{labindex}, Input(labindex));
end
% Export results. Assume mun output is a scalar
Results = [Results{:}];
matlabpool close
spmd has some limitations, you should read the help file on it. The main idea is that you run your code on every wirker once. So if you have less than 8 workers you won't be able to run all 8 lines at the same time. Try experimenting with it, to see how it works. Good luck!
