Accelerating Optimization, Test, and Code Generation with Parallel Computing Toolbox

Ryan Chladny, MathWorks

Development of system and controls involves extensive use of simulation for design exploration, optimization, and verification. Increasing design complexity has led to challenging computational demands. In many cases, engineering tasks can be automated, parallelized, and distributed to take advantage of latest computer hardware and reduce execution time. This session introduces Parallel Computing Toolbox and MATLAB Distributed Computing Server, including exemplary workflows that illustrate how to accelerate code generation, design optimization, and test automation with Simulink.

Product Focus

  • Simulink
  • Embedded Coder
  • Simscape
  • Optimization Toolbox
  • Parallel Computing Toolbox
  • MATLAB Distributed Computing Server

Recorded: 13 May 2014