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- An invaluable reference for anyone designing new parallel or distributed systems.
- Includes detailed case studies of specific systems from Stanford, MIT, and other leading research universities.
- The authors emphasize performance, surveying all available techniques.
- Sales Rank: #4859941 in Books
- Published on: 2004-01-28
- Original language: English
- Number of items: 1
- Dimensions: 9.61" h x .86" w x 6.42" l, 1.10 pounds
- Binding: Hardcover
- 232 pages
Review
"…an excellent reference for tools and paradigms for building high performance parallel and distributed computing systems…" (Computing Reviews.com, February 3, 2005)
"This book is recommended for libraries supporting graduate level programs in computer science and programs utilizing high-performance computing in their research.” (E-STREAMS, August 2004)
From the Back Cover
Today's most complete reference on the rapidly evolving software technology used in parallel and distributed computing
Designing, developing, and utilizing the kinds of versatile computing environments that will effectively support today's complex scientific and engineering applications is an ongoing research challenge. Tools and Environments for Parallel and Distributed Computing is the first comprehensive survey of the successful computing methodologies used in today's scientific communities, including both a summary of past techniques and an introduction to future technologies.
Covering a wide variety of approaches to parallel and distributed computing, with emphasis on such factors as tradeoffs between performance and cost, the authors present a thorough survey of today's most promising 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 practitioners in the field, this is a practical guide for the development and selection of today's scientific and engineering software systems.
About the Author
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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