Today, parallel computing experts can solve problems previously deemed impossible and make the "merely difficult" problems economically feasible to solve. This book presents and synthesizes the recent experiences of reknown expert developers who design robust and complex parallel computing applications. They demonstrate how to adapt and implement today's most advanced, most effective parallel computing techniques.
The book begins with a highly focused introductory course designed to provide a working knowledge of all the relevant architectures, programming models, and performance issues, as well as the basic approaches to assessment, optimization, scheduling, and debugging.
Next comes a series of seventeen detailed case studies all dealing with production-quality industrial and scientific applications, all presented firsthand by the actual code developers. Each chapter follows the same comparison-inviting format, presenting lessons learned and algorithms developed in the course of meeting real, non-academic challenges. A final section highlights the case studies' most important insights and turns an eye to the future of the discipline.
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Alice E. Koniges is an internationally known authority on parallel application development. As leader of the Parallel Applications Technology Program at Lawrence Livermore National Laboratory, she directed researchers in the largest set of agreements between industries and national laboratories ever funded by the US Department of Energy. She has served as a consultant to the Max Planck Institutes of Germany on parallelization and high performance computing issues. She was the first woman to be awarded a Ph.D. in Applied Mathematics from Princeton University. About the Contributors
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