Accelerating MATLAB with GPU Computing: A Primer with Examples
Jung Suh, KLA-Tencor;
Youngmin Kim, Life Technologies
Morgan Kaufmann, 2014
ISBN: 978-0-12-408080-5;
Language: English
Written for undergraduate and graduate students, Accelerating MATLAB with GPU Computing shows readers how to speed up MATLAB code by leveraging the power of GPU computing. Starting with the basics - setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling - the book then guides users through more advanced topics. Topics include vectorization, pre-allocation, sparse matrix form, and optimization planning through profiling.
MATLAB is used to solve examples in the book. In addition, a supplemental set of MATLAB code files is available for download.
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