How to distinctly assign job and get the result of each worker using "parfor"?

Hello,

I'm using parallel computing toolbox in order to parallelize my computation. there is a need for assigning an identical job with different data to each worker and after the computation of workers is done, I need to distinctly get each woker's result in the client process and use each of them for another purpose. how can I do this?!

thanks

[Walter Roberson]

parfeval() or batch()

Answer 1

[Edric Ellis]

This sounds more like a job for spmd . Read more about that here: https://www.mathworks.com/help/parallel-computing/spmd.html . Here's an extremely simple example:

spmd
    myOutput = 2 * labindex; % labindex has a different value on each worker
end
myOutput{3} % gets the value from the 3rd worker

[Bill Masters]

hello,

as you know, I have different data for a function to be done by workers (different data for each one, but the function is the same). so is it possible that I firstly build a data structure based on labindex, and call that specifically for each worker?

thanks

[Edric Ellis]

Do you mean something like this perhaps?

spmd
    data = magic(labindex);
    myOutput = sum(data);
end

[Bill Masters]

suppose that I have 4 workers and 4 input data as well,

conceptually I need the work be done as below, but I don't know how to organize it:

spmd
    myOutput=func(data1,data2,data3,data4);
     %func is a function defined before, to be done seperately
     % by each worker with their own data in parallel
end
myOutput{1}
myOutput{2}
...

[Bill Masters]

the problem is solved, thank you for your time.