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Parallel Computing with MATLAB

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Jiro Doke, MathWorks

Learn how you can use Parallel Computing Toolbox and MATLAB Distributed Computing Server to speed up MATLAB applications by using the desktop and cluster computing hardware you already have. You will learn how minimal programming efforts can speed up your applications on widely available desktop systems equipped with multicore processors and GPUs, and how to continue scaling your speed up with a computer cluster.

About the Presenter: Jiro Doke, Ph.D. joined MathWorks in May 2006 as an application engineer. He received his B.S. from Georgia Institute of Technology and Ph.D. from the University of Michigan, both in Mechanical Engineering. His Ph.D. research was in biomechanics of human movement, specifically in human gait. His experience in MATLAB comes from extensive use in graduate school, using the tool for data acquisition, analysis, and visualization. At MathWorks, Jiro focuses on core MATLAB, math/statistics/optimization tools, and parallel computing tools.

Product Focus

  • Parallel Computing Toolbox
  • MATLAB Distributed Computing Server

Recorded: 20 Nov 2013