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ISBN: 9780123742605 Year: 2011 Publisher: Amsterdam : ; Boston : Morgan Kaufmann,
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ISBN: 9780387954011 0387954015 Year: 2002 Publisher: New York: Springer,
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ISBN: 0128044861 0128498900 Year: 2018 Publisher: Cambridge, MA : Morgan Kaufmann,
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Parallel Programming: Concepts and Practice provides an upper level introduction to parallel programming. In addition to covering general parallelism concepts, this text teaches practical programming skills for both shared memory and distributed memory architectures. The authors' open-source system for automated code evaluation provides easy access to parallel computing resources, making the book particularly suitable for classroom settings.
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Year: 2004 Publisher: [Place of publication not identified] IEEE Computer Society Press
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Year: 2018 Publisher: New York, N.Y. : ACM,
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Year: 1998 Publisher: [Place of publication not identified] IEEE Computer Society Press
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ISBN: 1774073897 Year: 2020 Publisher: Oakville, Ontario : Arcler Press,
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ISBN: 0133368270 Year: 1993 Publisher: New York (N.Y.) Prentice Hall
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Year: 2020 Publisher: New York, New York : Association for Computing Machinery,
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Year: 2017 Publisher: Amsterdam, [Netherlands] : Elsevier,
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Parallel Programming with OpenACC is a modern, practical guide to implementing dependable computing systems. The book explains how anyone can use OpenACC to quickly ramp-up application performance using high-level code directives called pragmas. The OpenACC directive-based programming model is designed to provide a simple, yet powerful, approach to accelerators without significant programming effort. Author Rob Farber, working with a team of expert contributors, demonstrates how to turn existing applications into portable GPU accelerated programs that demonstrate immediate speedups. The book also helps users get the most from the latest NVIDIA and AMD GPU plus multicore CPU architectures (and soon for Intel® Xeon Phi™ as well). Downloadable example codes provide hands-on OpenACC experience for common problems in scientific, commercial, big-data, and real-time systems. Topics include writing reusable code, asynchronous capabilities, using libraries, multicore clusters, and much more. Each chapter explains how a specific aspect of OpenACC technology fits, how it works, and the pitfalls to avoid. Throughout, the book demonstrates how the use of simple working examples that can be adapted to solve application needs. Presents the simplest way to leverage GPUs to achieve application speedups Shows how OpenACC works, including working examples that can be adapted for application needs Allows readers to download source code and slides from the book's companion web page