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Book synopsis

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 specialize knowledge of GPU programming. Following sections cover built-in GPU-enabled features of MATLAB, including options to leverage GPUs across multicore or different computer systems. Finally, advanced material, including CUDA code in MATLAB and optimizing existing GPU applications are presented. Throughout the book, examples and source code 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 toolboxesExplains 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 fieldsIncludes source code, sample datasets, and lecture slides

Book details

Book category Books in English Computing & information technology Computer programming / software development Functional programming

• Full title: GPU Programming in MATLAB
• Author: Nikolaos Ploskas, Nikolaos Samaras
• Language: English
• Binding: Paperback
• Number of pages: 318
• EAN: 9780128051320
• ISBN: 0128051329
• ID: 10000300
• Publisher: Elsevier Science & Technology
• Weight: 666 g
• Dimensions: 237 × 192 × 21 mm
• Date of publishing: 28. July 2016

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