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Parallel Programming with OpenACC

by Farber, Rob

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Book Overview Parallel Programming with OpenACC is a modern, practical guide to implementing dependable computing systems. The book explains how anyone...

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(R) Xeon Phi(TM) 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.

Book Details Format: Paperback | Pages: 326 | Language: English | Publisher: MORGAN KAUFMANN PUBL INC | ISBN: 0124103979
FormatPaperback
Pages326
LanguageEnglish
ISBN0124103979
EAN9780124103979
PublisherMORGAN KAUFMANN PUBL INC
Publication Date1970-01-01
Edition1
AccessoriesNo Accessory
ConditionNew
Product TypeQUALITY PAPERBACK BOOKS
Weight1.55 Pounds
Length9.2 Inches
Width7.4 Inches
Height0.7 Inches
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