Parallel Computing with MATLAB and Simulink
Large-scale simulations and data processing tasks take an unreasonably long time to complete or require a lot of computer memory. Users can expedite these tasks by taking advantage of high-performance computing resources, such as multicore computers, GPUs, computer clusters, and cloud computing services.
Alka discusses how to boost the execution speed of computationally and data-intensive problems using MATLAB® and parallel computing products. Alka demonstrates several high-level programming constructs that allow you to easily create parallel MATLAB applications without low-level programming.
- Learn high-level programming constructs as well as built-in parallel algorithms to solve computationally and data-intensive problems using multicore processors and GPUs
- Scale up to clusters, grids, and clouds using MATLAB Parallel Server™ with minimum programming efforts
- Run multiple simulations of a model in parallel
Recorded: 19 Apr 2017
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