This is a book for developers of applications in MATLAB who would like to accelerate their code using GPU programming without losing the many benefits of MATLAB. Nikolaos Ploskas, Nikolaos Samaras start with coverage of the Parallel Computing Toolbox and other MATLAB toolboxes for GPU computing, which allow applications to be ported straightforwardly onto GPUs without extensive knowledge of GPU programming.

<ASIN:0128051329>

The next part of the book covers built-in, GPU-enabled features of MATLAB, including options to use GPUs across multicore or different computer systems. Finally, advanced material includes CUDA code in MATLAB and optimizing existing GPU applications.

Author: Nikolaos Ploskas, Nikolaos Samaras
Publisher: Morgan Kaufmann
Date: July 2016
Pages: 318
ISBN: 978-0128051320
Print: 0128051329
Kindle: B01L4N229I
Audience: MATLAB developers
Level: advanced

• Provides in-depth coverage of GPUs with MATLAB, including the parallel computing toolbox and built-in features for other MATLAB toolboxes
• Explains how to accelerate computationally heavy applications in MATLAB without the need to re-write them in another language
• Presents case studies illustrating key concepts across multiple fields
• Includes source code, sample datasets, and lecture slides

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