β Scribed by Chapman, Barbara;Jost, Gabriele;Pas, Ruud van der
No coin nor oath required. For personal study only.
Overview of OpenMP -- Writing a First OpenMP Program -- Open MP Language Features -- How to Get Good Performance by Using OpenMP -- Using OpenMP in the Real World -- Troubleshooting -- Under the Hood: How OpenMP Really Works -- The Future of OpenMP.;Using OpenMP discusses hardware developments, describes where OpenMP is applicable, and compares OpenMP to other programming interfaces for shared and distributed memory parallel architectures. It introduces the individual features of OpenMP, provides many source code examples that demonstrate the use and functionality of the language constructs, and offers tips on writing an efficient OpenMP program. It describes how to use OpenMP in full-scale applications to achieve high performance on large-scale architectures, discussing several case studies in detail, and offers in-depth troubleshooting advice. It explains how OpenMP is translated into explicitly multithreaded code, providing a valuable behind-the-scenes account of OpenMP program performance. Finally, Using OpenMP considers trends likely to influence OpenMP development, offering a glimpse of the possibilities of a future OpenMP 3.0 from the vantage point of the current OpenMP 2.5.;With multicore computer use increasing, the need for a comprehensive introduction and overview of the standard interface is clear. Using OpenMP provides an essential reference not only for students at both undergraduate and graduate levels but also for professionals who intend to parallelize existing codes or develop new parallel programs for shared memory computer architectures."--Pub. desc.;"OpenMP, a portable programming interface for shared memory parallel computers, was adopted as an informal standard in 1997 by computer scientists who wanted a unified model on which to base programs for shared memory systems. OpenMP is now used by many software developers; it offers significant advantages over both hand-threading and MPI. Using OpenMP offers a comprehensive introduction to parallel programming concepts and a detailed overview of OpenMP.
Overview of OpenMP --
Writing a First OpenMP Program --
Open MP Language Features --
How to Get Good Performance by Using OpenMP --
Using OpenMP in the Real World --
Troubleshooting --
Under the Hood: How OpenMP Really Works --
The Future of OpenMP.
OpenMP;ParallΓ©lisme (informatique);Parallelverarbeitung;Parallelverarbeitung--Speicher (Informatik)--Programmierung;Programmation parallΓ¨le (informatique);Speicher--(Informatik)--Parallelverarbeitung--Programmierung;Parallel programming (Computer science);Application program interfaces (Computer software);Parallelverarbeitung -- Speicher (Informatik) -- Programmierung;Speicher -- (Informatik) -- Parallelverarbeitung -- Programmierung;ParalleΜlisme (informatique);Programmation paralleΜle (informa
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A comprehensive overview of OpenMP, the standard application programming interface for shared memory parallel computing--a reference for students and professionals.
"I hope that readers will learn to use the full expressibility and power of OpenMP. This book should provide an excellent introduction to beginners, and the performance section should help those with some experience who want to push OpenMP to its limits." βfrom the foreword by <b>David J. Kuck , In
Only the most inexpensive processors, or processors built for low power consumption, now have single cores. The present and future of CPUs is multi-core, quad cores per CPU, 6 cores soon to come, and probably more after that. The authors have a deep understanding of parallel processing, modern com
A comprehensive overview of OpenMP, the standard application programming interface for shared memory parallel computing--a reference for students and professionals.
<p>This book contains the proceedings of the Workshop on OpenMP Applications and Tools, WOMPAT 2003. WOMPAT 2003 was held on June 26and 27, 2003 in Toronto, Canada. The workshop brought together the users and developers of the OpenMP API to meet, share ideas and experiences, and to discuss the lates
In 2011 many computer users were exploring the opportunities and the benefits of the massive parallelism offered by heterogeneous computing. In 2000 the Khronos Group, a not-for-profit industry consortium, was founded to create standard open APIs for parallel computing, graphics and dynamic media. A