Parallel Computing Works ! Edition En Anglais - Hardcover

Über die Autorin bzw. den Autor

Geoffrey Fox is a Distinguished Professor of Informatics, Computing and Physics and Associate Dean of Graduate studies and Research in the School of Informatics and Computing, Indiana University. He has taught and led many research groups at Caltech and Syracuse University, previously. He received his Ph.D. from Cambridge University, U.K. Fox is well known for his comprehensive work and extensive publications in parallel architecture, distributed programming, grid computing, web services, and Internet applications. His book on Grid Computing (coauthored with F. Berman and Tony Hey) is widely used by the research community. He has produced over 60 Ph.D. students in physics, computer science and engineering over the years.

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A clear illustration of how parallel computers can be successfully applied
to large-scale scientific computations. This book demonstrates how a
variety of applications in physics, biology, mathematics and other sciences
were implemented on real parallel computers to produce new scientific
results. It investigates issues of fine-grained parallelism relevant for
future supercomputers with particular emphasis on hypercube architecture.

The authors describe how they used an experimental approach to configure
different massively parallel machines, design and implement basic system
software, and develop algorithms for frequently used mathematical
computations. They also devise performance models, measure the performance
characteristics of several computers, and create a high-performance
computing facility based exclusively on parallel computers. By addressing
all issues involved in scientific problem solving, Parallel Computing
Works! provides valuable insight into computational science for large-scale
parallel architectures. For those in the sciences, the findings reveal the
usefulness of an important experimental tool. Anyone in supercomputing and
related computational fields will gain a new perspective on the potential
contributions of parallelism. Includes over 30 full-color illustrations.