Learn how you can use the Parallel Computing Toolbox and MATLAB Parallel 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.
Specifically, we’ll review how to:
- Transition from serial to parallel MATLAB programs
- Execute MATLAB applications on a multicore or multiprocessor workstation
- Speed up algorithms using parallel FOR loops
- Execute MATLAB applications on a computing cluster
- Accelerate MATLAB algorithms using a graphics processing unit (GPU)
About the presenter
Bradley Horton is a member of the Academic Customer Success team at MathWorks, helping faculty members better utilize MATLAB and Simulink for education and research. Bradley has supported and consulted for clients on projects in process control engineering, power systems simulation, military operations research, and earthquake impact modelling. Before joining MathWorks, Brad spent 5 years as a systems engineer with the Defence Science & Technology Organisation (DSTO) working as an operations research analyst. Bradley holds a B.Eng. in Mechanical engineering and a B.Sc. in Applied mathematics.
This talk will be followed by a Q&A session.
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