At last, a practitioner's guide to parallel programming! Students and professionals who use parallel or distributed computer systems will be able to solve real problems with Designing and Building Parallel Programs. This book provides a comprehensive introduction to parallel algorithm design, performance analysis, and program construction. It describes the tools needed to write parallel programs and provides numerous examples.
A unique feature is the companion on-line version, accessible via the World Wide Web using browsers such as Mosaic. This provides a convenient hypertext version of the text with pointers to programming tools, example programs, and other resources on parallel and distributed computing.
"synopsis" may belong to another edition of this title.
This is an introduction to parallel processing intended for junior, senior and graduate level courses. Foster builds actual applications programs and uses them to solve actual engineering problems in a variety of disciplines.
Parallel computing, once found only in academic/research environments is now becoming the computing platform of choice in a wide range of disciplines within the academic and commercial world. Engineering solutions are now primarily created on machines capable of parallel processing and scientific advances are more and more a result of the power and flexibility of the parallel paradigm.
This book is a guide to a larger resource accessible via the Internet: The Mosaic Guide to Designing and Building Parallel Programs.
I hold positions as Scientist in the Mathematics and Computer Science Division at Argonne National Laboratory, and Associate Professor of Computer Science at the University of Chicago. I lead computer science projects developing parallel languages and tools and a computational science effort developing parallel climate models. My major research interests are in various aspects of parallel and distributed computing: algorithms, languages, tools. Recently, I've been working on the techniques required to integrate high-performance computing into large-scale internetworked environments.
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