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PARALLEL PROGRAMMING IN OPENMP
Parallel Programming in OpenMP
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By
Rohit Chandra, NARUS, Inc.
Ramesh Menon, NARUS, Inc.
Leo Dagum, Silicon Graphics
David Kohr, NARUS, Inc.
Dror Maydan, Tensilica, Inc.
Jeff McDonald, SolidFX

Description


The rapid and widespread acceptance of shared-memory multiprocessor architectures has created a pressing demand for an efficient way to program these systems. At the same time, developers of technical and scientific applications in industry and in government laboratories find they need to parallelize huge volumes of code in a portable fashion. OpenMP, developed jointly by several parallel computing vendors to address these issues, is an industry-wide standard for programming shared-memory and distributed shared-memory multiprocessors. It consists of a set of compiler directives and library routines that extend FORTRAN, C, and C++ codes to express shared-memory parallelism.

Parallel Programming in OpenMP is the first book to teach both the novice and expert parallel programmers how to program using this new standard. The authors, who helped design and implement OpenMP while at SGI, bring a depth and breadth to the book as compiler writers, application developers, and performance engineers.

Contents
Foreword Preface Chapter 1: Introduction Chapter 2 Getting started with OpenMP Chapter 3: Exploiting loop-level parallelism Chapter 4: Beyond loop-level parallelism: Parallel Regions Chapter 5: Synchronization Chapter 6: Performance Glossary References Index

Bibliographic details
Paperback, 231 pages, publication date: OCT-2000
ISBN-13: 978-1-55860-671-5
ISBN-10: 1-55860-671-8
Imprint: MORGAN KAUFFMAN

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USD 57.95
GBP 38
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Last update: 7 Sep 2009
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