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.
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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.
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.
Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.
Da: Greenworld Books, Arlington, TX, U.S.A.
Condizione: very_good. Fast Free Shipping â" Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy. Codice articolo GWV.1558602534.VG
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Da: Ammareal, Morangis, Francia
Hardcover. Condizione: Très bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Edition 1994. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slight signs of wear on the cover. Edition 1994. Ammareal gives back up to 15% of this item's net price to charity organizations. Codice articolo E-551-335
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Hardcover-Großformat. Condizione: Gut. 977 Seiten Der Erhaltungszustand des hier angebotenen Werks ist trotz seiner Bibliotheksnutzung sehr sauber. Es befindet sich neben dem Rückenschild lediglich ein Bibliotheksstempel im Buch; ordnungsgemäß entwidmet. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 1880. Codice articolo 2004404
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Da: La bataille des livres, Pradinas, Francia
Condizione: Très bon. Parallel Computing Works! | Geoffrey C. Fox; Roy D. Williams; Guiseppe C. Messina | Morgan Kaufmann, 1994. In-8° cartonné, 977p. Couverture propre. Dos solide. Intérieur frais sans soulignage ou annotation. Exemplaire de bibliothèque: petit code barre en pied de 1re de couv., cotation au dos, rares et discrets petits tampons à l'intérieur de l'ouvrage. Très bon état général pour cet exemplaire [NM47] Pour les expéditions internationales, nous consulter au préalable pour l ajustement des frais de port qui seront peut-être revus à la baisse/ For international shipments, please contact us in advance to adjust shipping costs. |. Codice articolo JS-LNZD-4EL7
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Da: Pella Books, Pella, IA, U.S.A.
Hardcover. Condizione: Used Good. No Jacket. Pretty close to as new, no marks or writing, no wear, tight and square. Codice articolo 232466
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Condizione: New. Satisfaction Guaranteed or your money back. Codice articolo 1558602534
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