Speed your code with Distributed Computing
I am frequently asked how to speed up code that was written in MATLAB. We have already covered using the profiler in a video a few weeks ago, so now we turn to throwing more computer power at the problem by using ParallelComputing Toolbox. This video shows how to take code that is essentially a for loop calling the same function over and over again and turning it into something that will run on a compute cluster.
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