Dear Seqian Wang,

If you are using batch processing, one simple DIY way to do this would be to divide your subjects into a few subsets, create a new project for each of these groups, and run each project on a separate machine. When these finish you can merge the resulting projects into a single project for exploring the results (all projects must run through the exact same steps).

An alternative, more flexible but also possibly more elaborate way, would be to use Matlab's "Parallel-computing toolbox" (see http://www.mathworks.com/products/parall...). I have not tried this myself and it may require some fiddling with the code to maximize the efficiency of the parallelization (not quite sure about this). I will try to explore this option to see if we can facilitate this process in future releases of the toolbox. 

Hope this helps
Alfonso
Originally posted by Seqian Wang: