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MIT Press Using OpenMP Portable Shared Memory Parallel Programming Oct 2007 eBook-BBL

Posted on 2010-03-15




Name:MIT Press Using OpenMP Portable Shared Memory Parallel Programming Oct 2007 eBook-BBL
Language:English
File size:2.88 Mb
  

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Using OpenMP: Portable Shared Memory Parallel Programming (c) by The MIT

Press

The type of the release is: eBook

In the PDF format with ISBN: 0262533022 and Pub Date: October 31, 2007

The size of the release is: 01 disks x 1.44mb

And released on: 12/07/2007

"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." --from the foreword

by David J. Kuck, Intel Fellow, Software and Solutions Group, and

Director, Parallel and Distributed Solutions, Intel Corporation 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. 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.

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