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Parallel Programming in C with MPI and Openmp (First Printing)

Parallel Programming in C with MPI and Openmp (First Printing)

Parallel Programming in C with MPI and Openmp (First Printing) Hardback - 2003

by Quinn, Michael

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Used - Very Good with no dust jacket

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Boston, MA: McGraw-Hill Science/Engineering/Math. Very Good with no dust jacket. 2003. First Edition; First Printing. Hardcover. 7 X 1.03 X 9 inches; 529 pages; minor discoloration on the top exterior edge of textblock. Very Good condition otherwise. No other noteworthy defects. No markings. ; - Your satisfaction is our priority. We offer free returns and respond promptly to all inquiries. Your item will be carefully cushioned in bubble wrap and securely boxed. All orders ship on the same or next business day. Buy with confidence. .
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Details

  • Title Parallel Programming in C with MPI and Openmp (First Printing)
  • Author Quinn, Michael
  • Binding Hardback
  • Edition First Edition; First Printing
  • Condition Used - Very Good with no dust jacket
  • Pages 529
  • Volumes 1
  • Language ENG
  • Publisher McGraw-Hill Science/Engineering/Math, Boston, MA
  • Publication date 2003
  • Bookseller's Inventory # HVD-71881-OS-0
  • ISBN 9780072822564 / 0072822562
  • Weight 2.26 lbs (1.03 kg)
  • Dimensions 9.38 x 7.56 x 1.03 in (23.83 x 19.20 x 2.62 cm)
  • Category Computers - General Information
  • Library of Congress subjects C (Computer program language), Parallel programming (Computer science)
  • Library of Congress Catalogue Number 2003046371
  • Dewey Decimal Code 005.133

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Reader reviews for Parallel Programming in C with MPI and Openmp (First Printing)

From the publisher

This volume gives a high-level overview of parallel architectures, including processor arrays, centralized multi-processors, distributed multi-processors, commercial multi-computers and commodity clusters. A six-chapter tutorial introduces 25 MPI functions by developing parallel programs to solve a series of increasingly difficult problems. Each program is taken from problem description through design and analysis to implementation and benchmarking on an actual commodity cluster, providing the reader with a wealth of examples.

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Are you one of those people for whom "fast" isn't fast enough?
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