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Speeding Up Optimization Problems Using Parallel Computing

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Stuart Kozola, MathWorks

In this webinar, we will use two case studies to demonstrate how you can use parallel computing to speed up optimization problems in MATLAB. The first case study will introduce how to perform a single-level optimization problem in parallel, comparing built-in capabilities with custom parallelization of the computationally intensive objective function. The second case study will show how to set up multilevel optimization problems and run them in parallel.

Presenter: Stuart Kozola

Presenter Bio: Stuart is the product manager for optimization at MathWorks.

Product Focus

  • Parallel Computing Toolbox
  • Global Optimization Toolbox
  • Optimization Toolbox

Recorded: 10 Aug 2010