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.
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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