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Accelerating MATLAB with GPU Computing: A Primer with Examples

Jung W. Suh, Youngmin Kim




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 | #1376120 in Books |  2013-12-16 |  2013-12-02 | Original language:English | PDF # 1 |  9.00 x.61 x6.00l,.90 | File type: PDF | 258 pages

||0 of 0 people found the following review helpful.| Poor follow through by author.|By Chicago Cyclist|As an experienced matlab user who is starting out in CUDA I have mixed / poor feelings about the book.

Initially I thought it was very useful but after starting to go through the examples things quickly come to a stand still. The first two examples contain errors or are lacking particular descriptions that are really| ||"This truly is a practical primer. It is well written and delivers what it promises. Its main contribution is that it will assist “naive” programmers in advancing their code optimization capabilities for graphics processing units (GPUs) without

Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. This often demands that MATLAB codes run faster by leveraging the distributed parallelism of Graphics Processing Units (GPUs). While MATLAB successfully provides high-level functions as a simulation tool for rapid prototyping, the underlying details and knowledge needed for utilizing GPUs make MATLAB users hesitate to step i...

You can specify the type of files you want, for your device.Accelerating MATLAB with GPU Computing: A Primer with Examples   |  Jung W. Suh, Youngmin Kim.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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