GPU Programming in MATLAB - Nikolaos Ploskas

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GPU Programming in MATLAB

By: Nikolaos Ploskas, Nikolaos Samaras

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Paperback | 5 August 2016 | Edition Number 1

At a Glance

Paperback
318 Pages

Dimensions(cm)
23.5 x 19.05 x 1.7

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GPU programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would like to accelerate their codes using GPU programming without losing the many benefits of MATLAB. The book starts 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. The next part covers built-in, GPU-enabled features of MATLAB, including options to leverage GPUs across multicore or different computer systems. Finally, advanced material includes CUDA code in MATLAB and optimizing existing GPU applications. Throughout the book, examples and source codes illustrate every concept so that readers can immediately apply them to their own development.

Provides in-depth, comprehensive 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

Industry Reviews

"With GPU programming becoming commonplace, such a dedicated, detailed and highly readable book on this subject is a welcome addition. This textbook should be on the bookshelf of any MATLAB programmer who plans to employ GPU parallelization." --Yair Altman, author: Accelerating MATLAB Performance? (CRC Press, 2014), http://UndocumentedMatlab.com

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