Accelerating MATLAB with GPU Computing: A Primer with Examples

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9780124080805: Accelerating MATLAB with GPU Computing: A Primer with Examples
Review:

"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 any agonizing pain."--Computing Reviews,July 2 2014 "Suh and Kim show graduate students and researchers in engineering, science, and technology how to use a graphics processing unit (GPU) and the NVIDIA company's Compute Unified Device Architecture (CUDA) to process huge amounts of data without losing the many benefits of MATLAB. Readers are assumed to have at least some experience programming MATLAB, but not sufficient background in programming or computer architecture for parallelization."--ProtoView.com, February 2014

Review:

"Suh and Kim show graduate students and researchers in engineering, science, and technology how to use a graphics processing unit (GPU) and the NVIDIA company's Compute Unified Device Architecture (CUDA) to process huge amounts of data without losing the many benefits of MATLAB. Readers are assumed to have at least some experience programming MATLAB, but not sufficient background in programming or computer architecture for parallelization."--ProtoView.com, February 2014

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1.

Suh, Jung W.
Editorial: ELSEVIER SCIENCE TECHNOLOGY, United States (2014)
ISBN 10: 0124080804 ISBN 13: 9780124080805
Nuevos Paperback Cantidad: 1
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The Book Depository
(London, Reino Unido)
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Descripción ELSEVIER SCIENCE TECHNOLOGY, United States, 2014. Paperback. Estado de conservación: New. 226 x 152 mm. Language: English . Brand New Book. 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 into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, it then guides users through advanced topics such as CUDA libraries. The authors share their experience developing algorithms using MATLAB, C++ and GPUs for huge datasets, modifying MATLAB codes to better utilize the computational power of GPUs, and integrating them into commercial software products. Throughout the book, they demonstrate many example codes that can be used as templates of C-MEX and CUDA codes for readers projects. Download example codes from the publisher s website: * Shows how to accelerate MATLAB codes through the GPU for parallel processing, with minimal hardware knowledge* Explains the related background on hardware, architecture and programming for ease of use* Provides simple worked examples of MATLAB and CUDA C codes as well as templates that can be reused in real-world projects. Nº de ref. de la librería AAZ9780124080805

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Suh, Jung W.
Editorial: Elsevier Science & Technology 2013-12-10, San Francisco (2013)
ISBN 10: 0124080804 ISBN 13: 9780124080805
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Descripción Elsevier Science & Technology 2013-12-10, San Francisco, 2013. paperback. Estado de conservación: New. Nº de ref. de la librería 9780124080805

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Suh, Jung W.
Editorial: Morgan Kaufmann (2013)
ISBN 10: 0124080804 ISBN 13: 9780124080805
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Descripción Morgan Kaufmann, 2013. PAP. Estado de conservación: New. New Book. Shipped from UK in 4 to 14 days. Established seller since 2000. Nº de ref. de la librería GB-9780124080805

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Suh, Jung W.
Editorial: ELSEVIER SCIENCE TECHNOLOGY, United States (2014)
ISBN 10: 0124080804 ISBN 13: 9780124080805
Nuevos Paperback Cantidad: 1
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The Book Depository US
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[?]

Descripción ELSEVIER SCIENCE TECHNOLOGY, United States, 2014. Paperback. Estado de conservación: New. 226 x 152 mm. Language: English . Brand New Book. 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 into it. Accelerating MATLAB with GPUs offers a primer on bridging this gap. Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, it then guides users through advanced topics such as CUDA libraries. The authors share their experience developing algorithms using MATLAB, C++ and GPUs for huge datasets, modifying MATLAB codes to better utilize the computational power of GPUs, and integrating them into commercial software products. Throughout the book, they demonstrate many example codes that can be used as templates of C-MEX and CUDA codes for readers projects. Download example codes from the publisher s website: * Shows how to accelerate MATLAB codes through the GPU for parallel processing, with minimal hardware knowledge* Explains the related background on hardware, architecture and programming for ease of use* Provides simple worked examples of MATLAB and CUDA C codes as well as templates that can be reused in real-world projects. Nº de ref. de la librería AAZ9780124080805

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Suh, Jung W.
Editorial: Elsevier Science & Technology (2013)
ISBN 10: 0124080804 ISBN 13: 9780124080805
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Descripción Elsevier Science & Technology, 2013. Estado de conservación: New. Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, this title guides users through topics such as CUDA libraries. Num Pages: 258 pages, black & white tables, figures. Category: (P) Professional & Vocational. Dimension: 227 x 152 x 16. Weight in Grams: 350. . 2013. 1st Edition. Paperback. . . . . . Nº de ref. de la librería V9780124080805

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Suh, Jung W.
Editorial: Elsevier Science & Technology
ISBN 10: 0124080804 ISBN 13: 9780124080805
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Descripción Elsevier Science & Technology. Estado de conservación: New. Beyond simulation and algorithm development, many developers increasingly use MATLAB even for product deployment in computationally heavy fields. Starting with the basics, setting up MATLAB for CUDA (in Windows, Linux and Mac OS X) and profiling, this title guides users through topics such as CUDA libraries. Num Pages: 258 pages, black & white tables, figures. Category: (P) Professional & Vocational. Dimension: 227 x 152 x 16. Weight in Grams: 350. . 2013. 1st Edition. Paperback. . . . . Books ship from the US and Ireland. Nº de ref. de la librería V9780124080805

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Suh, Jung W.
ISBN 10: 0124080804 ISBN 13: 9780124080805
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Descripción Paperback. Estado de conservación: New. Not Signed; 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 p. book. Nº de ref. de la librería ria9780124080805_rkm

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Suh, Jung W.
Editorial: Morgan Kaufmann (2013)
ISBN 10: 0124080804 ISBN 13: 9780124080805
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Descripción Morgan Kaufmann, 2013. Paperback. Estado de conservación: NEW. 9780124080805 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE0894143

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Suh, Jung W.
Editorial: Morgan Kaufmann (2013)
ISBN 10: 0124080804 ISBN 13: 9780124080805
Nuevos Paperback Cantidad: 1
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Herb Tandree Philosophy Books
(Stroud, GLOS, Reino Unido)
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Descripción Morgan Kaufmann, 2013. Paperback. Estado de conservación: NEW. 9780124080805 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. Nº de ref. de la librería HTANDREE01198033

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Suh, Jung W.
Editorial: Morgan Kaufmann (2013)
ISBN 10: 0124080804 ISBN 13: 9780124080805
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Descripción Morgan Kaufmann, 2013. Estado de conservación: New. Bookseller Inventory # ST0124080804. Nº de ref. de la librería ST0124080804

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