GPU Programming in MATLAB
By Nikolaos Ploskas, Nikolaos Samaras
Publisher: Elsevier / Morgan Kaufmann
Final Release Date: August 2016
Pages: 318

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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oreillyGPU Programming in MATLAB
 
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5.0

Excellent book

By GPU4ALL

from UK

Pros

  • Easy to understand
  • Helpful examples
  • Well-written

Cons

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      Comments about oreilly GPU Programming in MATLAB:

      Very usefull book for gpu programming in matlab.

       
      3.0

      Good for me

      By lomano

      from Seoul

      Verified Buyer

      Comments about oreilly GPU Programming in MATLAB:

      The book describes the way of using GPU for Matlab script

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