This book introduces the parallel paradigm, and shows how parallel programming is carried out using a variety of programming languages. Foster details actual applications examples from engineering, science, and finance while keeping the focus throughout on parallel programming as opposed to algorithm development.
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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