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.

Highlights:

• 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