Multicomputer Networks: Message-Based Parallel Processing (Scientific and Engineering Computation) - Softcover

Reed, Daniel A.; Fujimoto, Richard M.

Softcover

ISBN 10: 0262681455 ISBN 13: 9780262681452

Verlag: MIT Press, 2004

Über diesen Titel

Reseña del editor

High-performance message-based supercomputers have only recently emerged from the research laboratory. The commercial manufacturing of such products as the Intel iPSC, the Ametek s/14, the NCUBE/ten, and the FPS T Series - all based on multicomputer network technology - has sparked lively interest in high-performance computation, and particularly in the message-passing paradigm for parallel computation. This book makes readily available information on many aspects of the design and use of multicomputer networks, including machine organization, system software, and application programs. It provides an introduction to the field for students and researchers and a survey of important recent results for practicing engineers. The emphasis throughout is on design principles and techniques; however, there are also descriptions and comparison of research and commercial machines and case studies of specific applications.Multicomputer Networks covers such major design areas as communication hardware, operating systems, fault tolerance, algorithms, and the selection of network topologies. The authors present results in each of these areas, emphasizing analytic models of interconnection networks, VLSI constraints and communication, communication paradigms and hardware support, multicomputer operating systems, and applications for distributed simulation and for partial differential equations. They survey the hardware designs and the available software and present a comparative performance study of existing machines.

Biografía del autor

Daniel A. Reed holds the Edward William and Jane Marr Gutgsell Professorship at the University of Illinois at Urbana-Champaign. He is also Director of the National Center for Supercomputing Applications (NCSA), Director of the National Computational Science Alliance, and Chief Architect, NSF TeraGrid. William Gropp is Director of the Parallel Computing Institute and Thomas M. Siebel Chair in Computer Science at the University of Illinois Urbana-Champaign. Ewing Lusk is Argonne Distinguished Fellow Emeritus at Argonne National Laboratory.

Details zur Ausgabe

• Verlag: MIT Press
• Erscheinungsdatum: 2004
• ISBN 10: 0262681455
• ISBN 13: 9780262681452
• Einband: Tapa blanda
• Sprache: Englisch
• Anzahl der Seiten: 404