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Parallel Computing with MATLAB

CODE SM13
  • Training Time 2 Day
  • Training Level Basic Medium Advanced
  • Who Should AttendEngineers, Designers, Academicians, Students
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AMAÇLARI

This two-day course introduces tools and techniques for distributing code and writing parallel algorithms in MATLAB®. The course shows how to use Parallel Computing Toolbox™ to speed up existing code and scale up across multiple computers using MATLAB Distributed Computing Server™ (MDCS). Attendees who are working with long-running simulations, or large data sets, will benefit from the hands-on demonstrations and exercises in the course. Topics include:

  • Improving performance
  • Parallel for-loops
  • Offloading execution
  • Working with clusters
  • Analyzing large data out of memory
  • Distributing large data sets
  • GPU computing

TRAINING CONTENT

Section 1 Improving performance
Section 2 Parallel for-loops
Section 3 Offloading execution
Section 4 Working with clusters
Section 5 Analyzing large data out of memory
Section 6 Distributing large data sets
Section 7 GPU Computing
Section 8 Appendix A: Working with Simulink Models

 

REQUIREMENTS

  • MATLAB Fundamentals or equivalent experience using MATLAB