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Parallel Computer Architecture: A Hardware/Software Approach (The Morgan Kaufmann Series in Computer Architecture and Design) 1st Edition

4.0 4.0 out of 5 stars 13 ratings

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Editorial Reviews

From the Back Cover

The most exciting development in parallel computer architecture is the convergence of traditionally disparate approaches on a common machine structure. This book explains the forces behind this convergence of shared-memory, message-passing, data parallel, and data-driven computing architectures. It then examines the design issues that are critical to all parallel architecture across the full range of modern design, covering data access, communication performance, coordination of cooperative work, and correct implementation of useful semantics. It not only describes the hardware and software techniques for addressing each of these issues but also explores how these techniques interact in the same system. Examining architecture from an application-driven perspective, it provides comprehensive discussions of parallel programming for high performance and of workload-driven evaluation, based on understanding hardware-software interactions.

Features:

  • synthesizes a decade of research and development for practicing engineers, graduate students, and researchers in parallel computer architecture, system software, and applications development
  • presents in-depth application case studies from computer graphics, computational science and engineering, and data mining to demonstrate sound quantitative evaluation of design trade-offs
  • describes the process of programming for performance, including both the architecture-independent and architecture-dependent aspects, with examples and case-studies
  • illustrates bus-based and network-based parallel systems with case studies of more than a dozen important commercial designs

About the Author

David Culler led the Berkeley
Network of Workstations (NOW) project, which sparked the
current commercial revolution in high-performance clusters.
Anoop Gupta co-led the Stanford DASH multiprocessor project,
which developed the shared-memory technology increasingly
used in commercial machines.

Jaswinder Pal Singh led the
development of the SPLASH and SPLASH-2 suites of parallel
programs, which have defined the workloads and methodology
used to drive decisions and evaluate trade-offs in shared-
memory parallel architecture.

Dr. Anoop Gupta is a Distinguished Scientist at Microsoft Research. He works on cross-disciplinary projects that have potential for large business or societal impact. His recent projects focus on areas of education, communication, collaboration, and natural user interfaces.

Product details

  • Publisher ‏ : ‎ Morgan Kaufmann; 1st edition (August 15, 1998)
  • Language ‏ : ‎ English
  • Hardcover ‏ : ‎ 1056 pages
  • ISBN-10 ‏ : ‎ 1558603433
  • ISBN-13 ‏ : ‎ 978-1558603431
  • Item Weight ‏ : ‎ 4.43 pounds
  • Dimensions ‏ : ‎ 7 x 2 x 9.5 inches
  • Customer Reviews:
    4.0 4.0 out of 5 stars 13 ratings

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Reviewed in the United States on July 25, 2021
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1.0 out of 5 stars Great content but missing critical pages
Reviewed in the United States on July 25, 2021
Content of the book is fantastic. However, the book itself is missing 33 important pages (355-386).
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Reviewed in the United States on May 5, 2004
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Reviewed in the United States on June 11, 2005
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Amazon Customer
5.0 out of 5 stars Good read. Some highly technical stuff that is explained ...
Reviewed in the United Kingdom on September 5, 2014
Arief Wicaksana
1.0 out of 5 stars Bon contenu, mais qualité photocopie
Reviewed in France on November 29, 2016