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Parallel Programming in OpenMP

Parallel Programming in OpenMP

Parallel Programming in OpenMP
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Parallel Programming in OpenMP Paperback - 2000 - 1st Edition

by Chandra, Rohit

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Morgan Kaufmann, 2000-10-16. 1. paperback. New. 7.31x0.57x9.31. Buy with confidence. Excellent Customer Service & Return policy.
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Details

  • Title Parallel Programming in OpenMP
  • Author Chandra, Rohit
  • Binding Paperback
  • Edition number 1st
  • Edition 1
  • Condition New
  • Pages 240
  • Volumes 1
  • Language ENG
  • Publisher Morgan Kaufmann
  • Publication date 2000-10-16
  • Illustrated Yes
  • Features Illustrated, Index, Table of Contents
  • Bookseller's Inventory # DADAX1558606718
  • ISBN 9781558606715 / 1558606718
  • Weight 1.44 lbs (0.65 kg)
  • Dimensions 10.44 x 7.3 x 0.85 in (26.52 x 18.54 x 2.16 cm)
  • Size 7.31x0.57x9.31
  • Category Computers - Languages / Programming
  • Library of Congress subjects Parallel programming (Computer science)
  • Library of Congress Catalogue Number 00043828
  • Dewey Decimal Code 005.2
  • Quantity available 6

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Reader reviews for Parallel Programming in OpenMP

From the publisher


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.

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