Tools and Environments for Parallel and Distributed Computing (Wiley Series on Parallel and Distributed Computing) - Tapa dura

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SALIM HARIRI, PhD, is a professor in the Department of Electrical and Computer Engineering at the University of Arizona, Tucson, where he directs the High Performance Distributed Computing Laboratory. He is the Editor in Chief for the Cluster Computing Journal and the founder of IEEE International Symposium on High Performance Distributed Computing (HPDC). He is coauthor/editor of three books on parallel and distributed computing and has published over a hundred journal articles and conference papers. MANISH PARASHAR, PhD, is an associate professor in the Department of Electrical and Computer Engineering at Rutgers, The State University of New Jersey, where he is Director of The Applied Software Systems Laboratory (TASSL). Professor Parashar is a recipient of the NSF CAREER award and the Enrico Fermi scholarship, and is a senior member of the IEEE. In addition to publishing over a hundred technical papers in international journals and conferences, Professor Parashar has coauthored/edited three books, and has contributed to several others, in the area of parallel and distributed computing.

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Today's most complete reference on the rapidly evolvingsoftware technology used in parallel and distributed computing
Designing, developing, and utilizing the kinds of versatile computingenvironments that will effectively support today's complex scientific andengineering applications is an ongoing research challenge. Tools andEnvironments for Parallel and Distributed Computing is the first comprehensivesurvey of the successful computing methodologies used in today's scientificcommunities, including both a summary of past techniques and an introduction tofuture technologies.

Covering a wide variety of approaches to parallel anddistributed computing, with emphasis on such factors as tradeoffs betweenperformance and cost, the authors present a thorough survey of today's mostpromising software applications, their strengths and limitations, including:

• Grid computing
• Message-passing tools
• Distributed shared-memory tools
• Distributed object computing tools

Each methodology is supported by detailed case studies.
An important hands-on reference for researchers, educators, and practitionersin the field, this is a practical guide for the development and selection oftoday's scientific and engineering software systems.