Parallel Computer Architecture - A Hardware/software Approach

Informationen zum Autor 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. Klappentext This book outlines a set of issues that are critical to all of parallel architecture--communication latency, communication bandwidth, and coordination of cooperative work (across modern designs). It describes the set of techniques available in hardware and in software to address each issues and explore how the various techniques interact.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. Inhaltsverzeichnis 1 Introduction 2 Parallel Programs 3 Programming for Performance 4 Workload-Driven Evaluation 5 Shared Memory Multiprocessors 6 Snoop-based Multiprocessor Design 7 Scalable Multiprocessors8 Directory-based Cache Coherence9 Hardware-Software Tradeoffs 10 Interconnection Network Design 11 Latency Tolerance 12 Future Directions APPENDIX A Parallel Benchmark Suites

Produktdetails

• Autoren: David Culler, David (University of California Culler, David E. Culler, David Singh Culler, Culler David, Anoop Gupta, Gupta Anoop, Jaswinder Pal Singh, Jaswinder Pal Sing, Dr. Jaswinder Pal Singh, J. P. Singh, J.P. Singh, Jaswinder Pal Singh
• Verlag: ELSEVIER SCIENCE BV
• Sprache: Englisch
• Produktform: Fester Einband
• Erschienen: 29.09.1998
• EAN: 9781558603431
• ISBN: 978-1-55860-343-1
• Seiten: 1056
• Serien: The Morgan Kaufmann Series in Computer Architecture and Design; Morgan Kaufmann Series in Comp; The Morgan Kaufmann Series in Computer Architecture and Design; The Morgan Kaufmann Computer A
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Informatik; Parallel processing, COMPUTERS / Parallel Processing