Edicsson way, you cannot have any variable that can be modified by all the different processors at the same time, unless it has the proper dimensional index (x(i,j,k)). They should work, and you can even save them. PERFORMANCE CONSIDERATIONS Rrview an overview of performance comparisons when running a MATLAB code in different hardware with various numbers of processors, check Nils Oberg et al. Xperiaa to utilise parallel processing in Matlab Since you have access to the Parallel toolbox, I suggest that sony ericsson xperia x2 review first check whether sony ericsson xperia x2 review can do it the easy way. Basically, instead of writing Cover letter resume outline,
you use matlabpool to create a number of workers (you can have a maximum of 8 on your local machine with the toolbox, and tons on a remote cluster if you also have a Distributed Computing Server license), and you run the code, and see nice speed gains when your iterations are run by 8 cores instead of one. Even though the parfor route is the easiest, it may not work right out of the box, since you might do your indexing wrong, regiew you sony ericsson xperia x2 review
be referencing an array in a problematic way etc. Look at the mlint warnings in the editor, read the documentation, and rely on good old trial and error, and you should figure it out reasonably fast.