GPU Programming in MATLAB

Nonfiction, Computers, Programming, Parallel Programming, Advanced Computing, Parallel Processing, General Computing
Cover of the book GPU Programming in MATLAB by Nikolaos Ploskas, Nikolaos Samaras, Elsevier Science
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Author: Nikolaos Ploskas, Nikolaos Samaras ISBN: 9780128051337
Publisher: Elsevier Science Publication: August 25, 2016
Imprint: Morgan Kaufmann Language: English
Author: Nikolaos Ploskas, Nikolaos Samaras
ISBN: 9780128051337
Publisher: Elsevier Science
Publication: August 25, 2016
Imprint: Morgan Kaufmann
Language: English

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
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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.

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