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.
- Category:
- Format: Video
Comments
To leave a comment, please click here to sign in to your MathWorks Account or create a new one.