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Parallel computer architecture : a hardware/software approach / David E. Culler, Jaswinder Pal Singh, with Anoop Gupta.

By: Contributor(s): Material type: TextTextPublication details: San Francisco : Morgan Kaufmann Publishers, c1999.Description: xxix, 1025 p. : ill. ; 25 cmISBN:
  • 1558603433
  • 9781558603431
Subject(s): DDC classification:
  • 004.35   22
Contents:
1 Introduction -- 2 Parallel Programs -- 3 Programming for Performance -- 4 Workload-Driven Evaluation -- 5 Shared Memory Multiprocessors -- 6 Snoop-based Multiprocessor Design -- 7 Scalable Multiprocessors -- 8 Directory-based Cache Coherence -- 9 Hardware-Software Tradeoffs -- 10 Interconnection Network Design -- 11 Latency Tolerance -- 12 Future Directions -- APPENDIX A Parallel Benchmark Suites
Summary: 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.
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Item type Current library Call number Copy number Status Date due Barcode
Books Books Main library General Stacks 004.35 / CU.P 1999 (Browse shelf(Opens below)) 1 Available 010992

Includes bibliographical references and index.

1 Introduction -- 2 Parallel Programs -- 3 Programming for Performance -- 4 Workload-Driven Evaluation -- 5 Shared Memory Multiprocessors -- 6 Snoop-based Multiprocessor Design -- 7 Scalable Multiprocessors -- 8 Directory-based Cache Coherence -- 9 Hardware-Software Tradeoffs -- 10 Interconnection Network Design -- 11 Latency Tolerance -- 12 Future Directions -- APPENDIX A Parallel Benchmark Suites

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.

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