Accelerating MATLAB with GPU Computing: A Primer with Examples

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

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: http://booksite.elsevier.com/9780124080805/

  • 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

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About the Author:

Jung W. Suh is a senior algorithm engineer and research scientist at KLA-Tencor. Dr. Suh received his Ph.D. from Virginia Tech in 2007 for his 3D medical image processing work. He was involved in the development of MPEG-4 and Digital Mobile Broadcasting (DMB) systems in Samsung Electronics. He was a senior scientist at HeartFlow, Inc., prior to joining KLA-Tencor. His research interests are in the fields of biomedical image processing, pattern recognition, machine learning and image/video compression. He has more than 30 journal and conference papers and 6 patents.

Youngmin Kim is a staff software engineer at Life Technologies where he has been programming in the area that requires real-time image acquisition and high-throughput image analysis. His previous works involved designing and developing software for automated microscopy and integrating imaging algorithms for real time analysis. He received his BS and MS from the University of Illinois at Urbana-Champaign in electrical engineering. Since then he developed 3D medical software at Samsung and led a software team at the startup company, prior to joining Life Technologies.

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

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Jung W. Suh, Youngmin Kim
Editorial: ELSEVIER SCIENCE TECHNOLOGY, United States (2014)
ISBN 10: 0124080804 ISBN 13: 9780124080805
Nuevos Paperback Cantidad: 10
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Descripción ELSEVIER SCIENCE TECHNOLOGY, United States, 2014. Paperback. Estado de conservación: New. Language: English . This book usually ship within 10-15 business days and we will endeavor to dispatch orders quicker than this where possible. 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: Nº de ref. de la librería EOD9780124080805

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Jung W. Suh, Youngmin Kim
Editorial: Elsevier Science 2013-12-17, Amsterdam (2013)
ISBN 10: 0124080804 ISBN 13: 9780124080805
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Descripción Elsevier Science 2013-12-17, Amsterdam, 2013. paperback. Estado de conservación: New. Nº de ref. de la librería 9780124080805

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Jung W. Suh, Youngmin Kim
Editorial: ELSEVIER SCIENCE TECHNOLOGY, United States (2014)
ISBN 10: 0124080804 ISBN 13: 9780124080805
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Descripción ELSEVIER SCIENCE TECHNOLOGY, United States, 2014. Paperback. Estado de conservación: New. 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: Nº de ref. de la librería AAU9780124080805

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Jung W. Suh, Youngmin Kim
Editorial: ELSEVIER SCIENCE TECHNOLOGY, United States (2014)
ISBN 10: 0124080804 ISBN 13: 9780124080805
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Descripción ELSEVIER SCIENCE TECHNOLOGY, United States, 2014. Paperback. Estado de conservación: New. 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: Nº de ref. de la librería AAU9780124080805

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Suh, Jung W.; Kim, Youngmin
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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Jung W. Suh
Editorial: Morgan Kaufmann (2013)
ISBN 10: 0124080804 ISBN 13: 9780124080805
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Descripción Morgan Kaufmann, 2013. Estado de conservación: New. book. Nº de ref. de la librería ria9780124080805_rkm

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Suh, Jung W.; Kim, Youngmin
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.
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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 BB-9780124080805

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Jung W. Suh; Youngmin Kim
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Descripción Morgan Kaufmann, 2013. Estado de conservación: New. Nº de ref. de la librería EH9780124080805

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SUH, JUNG; KIM, YOUNGMIN
Editorial: Morgan Kaufmann (2013)
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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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