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Parallel Computer Architecture: A Hardware/Software Approach (The Morgan Kaufmann Series in Computer Architecture and Design) 1st Edition
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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.
- 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
- ISBN-101558603433
- ISBN-13978-1558603431
- Edition1st
- PublisherMorgan Kaufmann
- Publication dateAugust 15, 1998
- LanguageEnglish
- Dimensions7 x 2 x 9.5 inches
- Print length1056 pages
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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
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
- Best Sellers Rank: #1,621,384 in Books (See Top 100 in Books)
- #68 in Computer Hardware Design
- #418 in Computer Hardware Design & Architecture
- #18,313 in Mathematics (Books)
- Customer Reviews:
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contemporary processors and code for Matlab/Simulink tools. Don't drop it on your toe!
Reviewed in the United States on July 25, 2021
Previous uniprocessor architecture knowledge is required for the more interesting chapters. Thus, this book acts as a nice sequel to Henessey and Patterson.
Top reviews from other countries
Par contre, le contenu est toujours utile pour quelqu'un dans le domaine.



