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Language: English
Published by Packt Publishing 3/31/2026, 2026
ISBN 10: 1803245425 ISBN 13: 9781803245423
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. GPU-Accelerated Computing with Python 3 and CUDA: From low-level kernels to real-world applications in scientific computing and machine learning. Book.
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Language: English
Published by Morgan Kaufmann 2012-11-13, 2012
ISBN 10: 0124159338 ISBN 13: 9780124159334
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Language: English
Published by Morgan Kaufmann 2011-01-12, 2011
ISBN 10: 0123849888 ISBN 13: 9780123849885
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Published by Morgan Kaufmann 2011-07-13, 2011
ISBN 10: 0123859638 ISBN 13: 9780123859631
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Language: English
Published by Springer Nature Singapore, 2014
ISBN 10: 9812871330 ISBN 13: 9789812871336
Seller: Buchpark, Trebbin, Germany
Condition: Sehr gut. Zustand: Sehr gut | Seiten: 300 | Sprache: Englisch | Produktart: Bücher | This book presents a collection of state of the art research on GPU Computing and Application. The major part of this book is selected from the work presented at the 2013 Symposium on GPU Computing and Applications held in Nanyang Technological University, Singapore (Oct 9, 2013). Three major domains of GPU application are covered in the book including (1) Engineering design and simulation; (2) Biomedical Sciences; and (3) Interactive & Digital Media. The book also addresses the fundamental issues in GPU computing with a focus on big data processing. Researchers and developers in GPU Computing and Applications will benefit from this book. Training professionals and educators can also benefit from this book to learn the possible application of GPU technology in various areas.
Language: English
Published by MORGAN KAUFMANN PUBL INC, 2011
ISBN 10: 0123859638 ISBN 13: 9780123859631
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Gebundene Ausgabe. Condition: Neu. Neu Neuware, Importqualität, auf Lager, Sofortversand - GPU Computing Gems, Jade Edition, offers hands-on, proven techniques for general purpose GPU programming based on the successful application experiences of leading researchers and developers. One of few resources available that distills the best practices of the community of CUDA programmers, this second edition contains 100% new material of interest across industry, including finance, medicine, imaging, engineering, gaming, environmental science, and green computing. It covers new tools and frameworks for productive GPU computing application development and provides immediate benefit to researchers developing improved programming environments for GPUs. Divided into five sections, this book explains how GPU execution is achieved with algorithm implementation techniques and approaches to data structure layout. More specifically, it considers three general requirements: high level of parallelism, coherent memory access by threads within warps, and coherent control flow within warps. Chapters explore topics such as accelerating database searches; how to leverage the Fermi GPU architecture to further accelerate prefix operations; and GPU implementation of hash tables. There are also discussions on the state of GPU computing in interactive physics and artificial intelligence; programming tools and techniques for GPU computing; and the edge and node parallelism approach for computing graph centrality metrics. In addition, the book proposes an alternative approach that balances computation regardless of node degree variance. Software engineers, programmers, hardware engineers, and advanced students will find this book extremely usefull. For useful source codes discussed throughout the book, the editors invite readers to the following website: GPU Computing Gems offers 100% new material of interest across industry, including finance, medicine, imaging, engineering, gaming, environmental science, green computing, and more Covers new tools and frameworks for productive GPU computing application development and offers immediate benefit to researchers developing improved programming environments for GPUs Even more hands-on, proven techniques demonstrating how general purpose GPU computing is changing scientific research Distills the best practices of the community of CUDA programmers; each chapter provides insights and ideas as well as 'hands on' skills applicable to a variety of fields.
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Add to basketHardcover. Condition: Brand New. 2015 edition. 280 pages. 9.25x6.25x1.00 inches. In Stock.
Taschenbuch. Condition: Neu. GPU Computing and Applications | Yiyu Cai (u. a.) | Taschenbuch | xviii | Englisch | 2016 | Springer | EAN 9789811013607 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.