running parallel cpu processes in matlab starts command   parpool()   according documentation , function:      [creates] special job on pool of workers, , [connects] matlab client parallel pool.    this function takes bit of time execute, on order of 30 seconds. in other multi-cpu paradigms openmp, parallel execution seems totally transparent -- i've never noticed behavior analogous matlab (granted i'm not experienced parallel programming).   so, happening between time parpool()  called , when finishes executing? takes long?           parallel computing toolbox enables run matlab code in parallel using several different paradigms (e.g. jobs , tasks, parfor , spmd , parfeval , batch processing), , run either locally (parallelised across cores in local machine) or remotely (parallelised across machines in cluster - either 1 own, or 1 in cloud).   in of these cases, code run on matlab workers , copies of matlab without interactive desktop.   if you're intending run on remo...
 
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