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.

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.

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