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Programming Models for Parallel Computing (Scientific and Engineering Computation)


Extreame Savings Item! Save 46% on the Programming Models for Parallel Computing (Scientific and Engineering Computation) by The MIT Press at EMS Linux. MPN: 90 b&w illus.. Hurry! Limited time offer. Offer valid only while supplies last. An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style.With the coming of the


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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

Additional Information

Manufacturer:The MIT Press
Part Number:90 b&w illus.
Publisher:The MIT Press
Studio:The MIT Press
MPN:90 b&w illus.
EAN:9780262528818
Item Weight:1.9 pounds
Item Size:0.81 x 9 x 9 inches
Package Weight:0.79 pounds
Package Size:5.85 x 0.73 x 0.73 inches

Programming Models for Parallel Computing (Scientific and Engineering Computation) by The MIT Press

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Programming Models for Parallel Computing (Scientific and Engineering Computation)

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