Programming Models Parallel Computing (20 results)
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Published by MIT Press, 2015
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Published by MIT Press, 2015
Series: Book 21 of 27 - Scientific and Engineering Computation
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Published by MIT Press, 2015
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Published by MIT Press, 2015
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Published by MIT Press, 2015
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Published by MIT Press, 2015
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Condition: New. Editor(s): Balaji, Pavan. Series: Scientific and Engineering Computation. Num Pages: 488 pages, 90 b&w illus. BIC Classification: UKG; UY. Category: (P) Professional & Vocational. Dimension: 229 x 203 x 20. . . 2015. Paperback. . . . .
Language: English
Published by MIT Press, 2015
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Condition: New. Editor(s): Balaji, Pavan. Series: Scientific and Engineering Computation. Num Pages: 488 pages, 90 b&w illus. BIC Classification: UKG; UY. Category: (P) Professional & Vocational. Dimension: 229 x 203 x 20. . . 2015. Paperback. . . . . Books ship from the US and Ireland.
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Published by The MIT Press Bookstore, 2015
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Language: English
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Published by MIT Press, 2015
Series: Book 21 of 27 - Scientific and Engineering Computation
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Taschenbuch. Condition: Neu. Programming Models for Parallel Computing | Pavan Balaji | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2015 | MIT Press | EAN 9780262528818 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …
Language: English
Published by MIT Press, 2015
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style.With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputing systems. Programming parallel systems is complicated by the fact that multiple processing units are simultaneously computing and moving data. This book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today.The chapters describe the programming models in a unique tutorial style rather than using the formal approach taken in the research literature. The aim is to cover a wide range of parallel programming models, enabling the reader to understand what each has to offer. The book begins with a description of the Message Passing Interface (MPI), the most common parallel programming model for distributed memory computing. It goes on to cover one-sided communication models, ranging from low-level runtime libraries (GASNet, OpenSHMEM) to high-level programming models (UPC, GA, Chapel); task-oriented programming models (Charm++, ADLB, Scioto, Swift, CnC) that allow users to describe their computation and data units as tasks so that the runtime system can manage computation and data movement as necessary; and parallel programming models intended for on-node parallelism in the context of multicore architecture or attached accelerators (OpenMP, Cilk Plus, TBB, CUDA, OpenCL). The book will be a valuable resource for graduate students, researchers, and any scientist who works with data sets and large computations. ContributorsTimothy Armstrong, Michael G. Burke, Ralph Butler, Bradford L. Chamberlain, Sunita Chandrasekaran, Barbara Chapman, Jeff Daily, James Dinan, Deepak Eachempati, Ian T. Foster, William D. Gropp, Paul Hargrove, Wen-mei Hwu, Nikhil Jain, Laxmikant Kale, David Kirk, Kath Knobe, Ariram Krishnamoorthy, Jeffery A. Kuehn, Alexey Kukanov, Charles E. Leiserson, Jonathan Lifflander, Ewing Lusk, Tim Mattson, Bruce Palmer, Steven C. Pieper, Stephen W. Poole, Arch D. Robison, Frank Schlimbach, Rajeev Thakur, Abhinav Vishnu, Justin M. Wozniak, Michael Wilde, Kathy Yelick, Yili Zheng.…
