Parallel Computing Toolbox
You can speed up some applications by organizing them into independent tasks (units of work) and executing multiple tasks concurrently. This class of task-parallel applications includes simulations for design optimization, BER testing, Monte Carlo simulations, and repetitive analysis on a large number of data files.
The toolbox offers
parfor, a parallel
for-loop construct that can automatically distribute independent tasks to multiple MATLAB workers (MATLAB computational engines running independently of your desktop MATLAB session). This construct automatically detects the presence of workers and reverts to serial behavior if none are present. You can also set up task execution using other methods, such as manipulating
task objects in the toolbox.