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Introduction to Parallel Processing: Algorithms and Architectures (Series in Computer Science)

Introduction to Parallel Processing: Algorithms and Architectures (Series in Computer Science)

Introduction to Parallel Processing: Algorithms and Architectures (Series in
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Introduction to Parallel Processing: Algorithms and Architectures (Series in Computer Science) Hardback - 1999 - 1st Edition

by Parhami, Behrooz

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Springer, 1999-01-31. Hardcover. New. In shrink wrap. Looks like an interesting title!
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Details

  • Title Introduction to Parallel Processing: Algorithms and Architectures (Series in Computer Science)
  • Author Parhami, Behrooz
  • Binding Hardback
  • Edition number 1st
  • Edition 1
  • Condition New
  • Pages 532
  • Volumes 1
  • Language ENG
  • Publisher Springer, New York, New York, U.S.A.
  • Publication date 1999-01-31
  • Illustrated Yes
  • Features Bibliography, Illustrated, Index
  • Bookseller's Inventory # Q-0306459701
  • ISBN 9780306459702 / 0306459701
  • Weight 2.7 lbs (1.22 kg)
  • Dimensions 10.2 x 7.3 x 1.5 in (25.91 x 18.54 x 3.81 cm)
  • Category Computers - General Information
  • Library of Congress subjects Parallel processing (Electronic computers)
  • Library of Congress Catalogue Number 98045719
  • Dewey Decimal Code 004.35
  • Quantity available 1

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Reader reviews for Introduction to Parallel Processing: Algorithms and Architectures (Series in Computer Science)

From the publisher

THE CONTEXT OF PARALLEL PROCESSING The field of digital computer architecture has grown explosively in the past two decades. Through a steady stream of experimental research, tool-building efforts, and theoretical studies, the design of an instruction-set architecture, once considered an art, has been transformed into one of the most quantitative branches of computer technology. At the same time, better understanding of various forms of concurrency, from standard pipelining to massive parallelism, and invention of architectural structures to support a reasonably efficient and user-friendly programming model for such systems, has allowed hardware performance to continue its exponential growth. This trend is expected to continue in the near future. This explosive growth, linked with the expectation that performance will continue its exponential rise with each new generation of hardware and that (in stark contrast to software) computer hardware will function correctly as soon as it comes off the assembly line, has its down side. It has led to unprecedented hardware complexity and almost intolerable dev- opment costs. The challenge facing current and future computer designers is to institute simplicity where we now have complexity; to use fundamental theories being developed in this area to gain performance and ease-of-use benefits from simpler circuits; to understand the interplay between technological capabilities and limitations, on the one hand, and design decisions based on user and application requirements on the other.
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