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Using OpenMP: Portable Shared Memory Parallel Programming (Scientific and Engineering Computation) Pdf

Download Using OpenMP: Portable Shared Memory Parallel Programming (Scientific and Engineering Computation) Pdf

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Book Description:

OpenMP, a transportable programming interface for shared memory parallel pc methods, was adopted as a casual regular in 1997 by laptop scientists who wanted a unified model on which to base packages for shared memory methods. OpenMP is now utilized by many software builders; it supplies very important advantages over every hand-threading and MPI. Using OpenMP presents an entire introduction to parallel programming concepts and an in depth overview of OpenMP. Using OpenMP discusses hardware developments, describes the place OpenMP is related, and compares OpenMP to totally different programming interfaces for shared and distributed memory parallel architectures. It introduces the individual choices of OpenMP, provides many provide code examples that exhibit the use and efficiency of the language constructs, and presents suggestions on writing an setting pleasant OpenMP program. It describes learn how to make use of OpenMP in full-scale functions to understand high effectivity on big-scale architectures, discussing a lot of case analysis intimately, and provides in-depth troubleshooting suggestion. It explains how OpenMP is translated into explicitly multithreaded code, providing a priceless behind-the-scenes account of OpenMP program effectivity. Lastly, Using OpenMP considers developments extra more likely to have an effect on OpenMP enchancment, offering a glimpse of the probabilities of a future OpenMP three.zero from the vantage degree of the current OpenMP 2.5. With multicore laptop use rising, the need for an entire introduction and overview of the standard interface is clear. Using OpenMP provides an important reference not only for school college students at every undergraduate and graduate ranges however as well as for professionals who intend to parallelize current codes or develop new parallel packages for shared memory laptop architectures.




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