Research in computer performance analysis has focused primarily on dedicated parallel machines. However, future applications in the area of high-performance computing will not only use individual parallel systems but a large set of networked resources. This scenario of computational and data grids is attracting a great deal of attention from both computer and computational scientists. In addition to the inherent complexity of parallel machines, the sharing and transparency of the available resources introduces new challenges on performance analysis, techniques, and systems. In order to meet those challenges, a multi-disciplinary approach to the multi-faceted problems of performance is required. New degrees of freedom will come into play with a direct impact on the performance of Grid computing, including wide-area network performance, quality-of-service (QoS), heterogeneity, and middleware systems, to mention only a few. Reflecting this new reality, the Dagstuhl Workshop on Performance Analysis and Distributed Computing, organized by members of the European Working Group APART, was designed to bring together researchers from both the high-performance computing and the distributed computing areas. Indeed, attendees with expertise in a variety of topics in computer and computational sciences arrived in Dagstuhl at the end of August 2002 to discuss the state-of-the-art and the future of computer performance research as it applies to systems, applications, and Grids. Performance Analysis and Grid Computing comprises selected contributions encapsulating this scientifically rich event. The articles are organized in three parts: Performance Modeling and Analysis, Performance Tools and Systems, and Grid Performance and Applications. It will provide invaluable reading for researchers and developers in the areas of performance analysis, high-end computer systems, and grid computing.
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Performance Analysis and Grid Computing The scenario of computational and data Grids is attracting a great deal of attention from both computer and computational scientists. In addition to the inherent complexity of parallel machines, the sharing and transparency of the available resources introduces fresh challenges on performance analysis, techniques, and systems.
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Condition: Sehr gut. Zustand: Sehr gut | Seiten: 316 | Sprache: Englisch | Produktart: Bücher | Past and current research in computer performance analysis has focused primarily on dedicated parallel machines. However, future applications in the area of high-performance computing will not only use individual parallel systems but a large set of networked resources. This scenario of computational and data Grids is attracting a great deal of attention from both computer and computational scientists. In addition to the inherent complexity of parallel machines, the sharing and transparency of the available resources introduces new challenges on performance analysis, techniques, and systems. In order to meet those challenges, a multi-disciplinary approach to the multi-faceted problems of performance is required. New degrees of freedom will come into play with a direct impact on the performance of Grid computing, including wide-area network performance, quality-of-service (QoS), heterogeneity, and middleware systems, to mention only a few. Seller Inventory # 3029325/2
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Past and current research in computer performance analysis has focused primarily on dedicated parallel machines. However, future applications in the area of high-performance computing will not only use individual parallel systems but a large set of networked resources. This scenario of computational and data Grids is attracting a great deal of attention from both computer and computational scientists. In addition to the inherent complexity of parallel machines, the sharing and transparency of the available resources introduces new challenges on performance analysis, techniques, and systems. In order to meet those challenges, a multi-disciplinary approach to the multi-faceted problems of performance is required. New degrees of freedom will come into play with a direct impact on the performance of Grid computing, including wide-area network performance, quality-of-service (QoS), heterogeneity, and middleware systems, to mention only a few. 316 pp. Englisch. Seller Inventory # 9781402076930
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Past and current research in computer performance analysis has focused primarily on dedicated parallel machines. However, future applications in the area of high-performance computing will not only use individual parallel systems but a large set of networke. Seller Inventory # 4095256
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Condition: New. The scenario of computational and data Grids is attracting a great deal of attention from both computer and computational scientists. In addition to the inherent complexity of parallel machines, the sharing and transparency of the available resources introduces fresh challenges on performance analysis, techniques, and systems. Editor(s): Hoisie, Adolfy; Getov, Vladimir; Gerndt, Michael; Malony, Allen D.; Miller, Barton. Num Pages: 290 pages, biography. BIC Classification: UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 235 x 155 x 19. Weight in Grams: 1360. . 2003. Hardback. . . . . Seller Inventory # V9781402076930
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Buch. Condition: Neu. Performance Analysis and Grid Computing | Selected Articles from the Workshop on Performance Analysis and Distributed Computing August 19-23, 2002, Dagstuhl, Germany | Vladimir Getov (u. a.) | Buch | xv | Englisch | 2003 | Springer US | EAN 9781402076930 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Seller Inventory # 101980823
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Buch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Past and current research in computer performance analysis has focused primarily on dedicated parallel machines. However, future applications in the area of high-performance computing will not only use individual parallel systems but a large set of networked resources. This scenario of computational and data Grids is attracting a great deal of attention from both computer and computational scientists. In addition to the inherent complexity of parallel machines, the sharing and transparency of the available resources introduces new challenges on performance analysis, techniques, and systems. In order to meet those challenges, a multi-disciplinary approach to the multi-faceted problems of performance is required. New degrees of freedom will come into play with a direct impact on the performance of Grid computing, including wide-area network performance, quality-of-service (QoS), heterogeneity, and middleware systems, to mention only a few.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 308 pp. Englisch. Seller Inventory # 9781402076930