Sean de Wolski, MathWorks
In this session, we will demonstrate simple ways to improve and optimize your code that can boost execution speed. We will also address common pitfalls in writing MATLAB code, explore the use of the MATLAB Profiler to find bottlenecks, and introduce programming constructs to solve computationally and data-intensive problems on multicore computers, clusters and GPUs.
Specifically, we will show:
Prior to R2019a, MATLAB Parallel Server was called MATLAB Distributed Computing Server.
Recorded: 22 Feb 2018
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