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International Edition

Intl. Ed.

Introduction To Parallel Computing, 2nd ed.

Intl. Ed.

Introduction To Parallel Computing, 2nd ed. Softcover - 2003

by Ananth Grama, Anshul Gupta, George Karypis & Vipin Kumar

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International Edition

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Pearson. Softcover. Brand New. International Edition - ISBN number and front cover may be different in rare cases but CONTENTS are same as the US edition. We ship fast via USPS/FedEx/DHL/Aramex Express Services. No shipping to PO BOX, APO, FPO addresses. Kindly provide day time phone number in order to ensure smooth delivery. Printed in black & white in English language. Territorial restrictions may be printed on the book. We may ship from Asian regions for inventory purpose. 100% Customer satisfaction guaranteed!" We use Fast Shipping via DHL/FEDEX/UPS

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Details

  • Title Introduction To Parallel Computing, 2nd ed.
  • Author Ananth Grama, Anshul Gupta, George Karypis & Vipin Kumar
  • Binding Paperback
  • Edition INTERNATIONAL ED
  • Condition New
  • Pages 664
  • Volumes 1
  • Language ENG
  • Publisher Pearson, Lebanon, Indiana, U.S.A.
  • Publication date January 16, 2003
  • Illustrated Yes
  • Bookseller's Inventory # BWE-PMV32164
  • ISBN 9780201648652 / 0201648652
  • Weight 2.6 lbs (1.18 kg)
  • Dimensions 9.3 x 6.2 x 1.6 in (23.62 x 15.75 x 4.06 cm)
  • Category Computers - General Information
  • Library of Congress subjects Parallel processing (Electronic computers), Parallel algorithms
  • Library of Congress Catalogue Number 2002038351
  • Dewey Decimal Code 005.2

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Reader reviews for Introduction To Parallel Computing, 2nd ed.

From the publisher

Introducation to Parallel Computing is a complete end-to-end source of information on almost all aspects of parallel computing from introduction to architectures to programming paradigms to algorithms to programming standards. It is the only book to have complete coverage of traditional Computer Science algorithms (sorting, graph and matrix algorithms), scientific computing algorithms (FFT, sparse matrix computations, N-body methods), and data intensive algorithms (search, dynamic programming, data-mining).
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