ok thanks Mehdi

If you are handling large amount of constant data and passing it to the workers, you want to look at the Worker Object Wrapper.

http://www.mathworks.com/matlabcentral/fileexchange/31972-worker-object-wrapper

Hello.

You have to do several things if you want to run parallel calculation with MATLAB. First

of all, you have to reprogram the code. The only change is the "for" loop. For parallel calculation, you need to replace "for" by "parfor" just like what @Hedayatpoor said. However, you also need pay much attention to the codes in the loop. For example, you use i as index (parfor i=1:N), you can not call variable indexed by i in the loop (b=a(i) is not legal). Next, you can use the Parallel toolbox. Typing "matlabpool 4" can help you connect to 4 labs.

Actually, the parallel calculation capability of MATLAB is limited. If you really have so large amount of calculation, FORTRAN may be a better choice.

Thanks!!

Best to use matlabpool open at first.. then matlab uses all 4 cores of the PC.. then parfor as suggested above..

Hello, Kouba! Since you have a NVidia's graphics card in your PC, it is very simple. I suggest you to use the MATLAB R2013a. It already contains the PCT and you only must to use the GPUARRAY function to copy the data to the device memory. After that, you are able to use the same MATLAB built-in functions to run your code in a parallel mode. All the parallelization is implicity executed in the GPU cores by the PCT. You don't have to concern about the number of blocks or threads per block, or another details about parallel programming.

If you need more details, please read one of my papers called "Parallelization of a Modified Firefly Algorithm...".

Good luck and good work!

thank you Lauro ,in this time i use MATLAB 2012b, but i'll try to use R2013a.

Hello, use the attached file which would help you a lot.

thanks  Sahar Dehnavi

thank you Abdul Kayum.