MTU Library Catalogue

Syndetics cover image
Image from Syndetics

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

By: Culler, David E.
Contributor(s): Singh, Jaswinder Pal | Gupta, Anoop.
Material type: materialTypeLabelBookPublisher: San Francisco : Morgan Kaufmann Publishers, 1999Description: xxix, 1025 p. : ill. ; 25 cm. + hbk.ISBN: 1558603433; 9781558603431 .Subject(s): Parallel computers | Computer architectureDDC classification: 004.35
Contents:
Introduction -- Parallel Programs -- Programming for Performance -- Workload-Driven Evaluation -- Shared Memory Multiprocessors -- Snoop-based Multiprocessor Design -- Scalable Multiprocessors -- Directory-Based Cache Coherence -- Hardware/Software Trade-Offs -- Interconnection Network Design -- Latency Tolerance -- Future Directions.
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Bishopstown Library Lending 004.35 (Browse shelf(Opens below)) 1 Available 00115970
Total holds: 0

Enhanced descriptions from Syndetics:

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.

Includes bibliographical references (pages 969-994) and index.

Introduction -- Parallel Programs -- Programming for Performance -- Workload-Driven Evaluation -- Shared Memory Multiprocessors -- Snoop-based Multiprocessor Design -- Scalable Multiprocessors -- Directory-Based Cache Coherence -- Hardware/Software Trade-Offs -- Interconnection Network Design -- Latency Tolerance -- Future Directions.

CIT Module ELTR 8007 - Supplementary reading

Table of contents provided by Syndetics

  • 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

Author notes provided by Syndetics

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.