Automatic parallelization par w kessler christoph (12 résultats)
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Etat : New. In.
Langue : anglais
Edité par Friedrich Vieweg & Sohn Verlagsgesellschaft mbH, 1994
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Etat : New. Contains 11 contributions which deal with true automatic parallelization, and the focus is on automatic methods. Some of the questions under discussion are: up to which degree is automatic parallelization for DMS possible today? In which cases can knowledge-based methods help? Editor(s): Kessler, Christoph W. Series:… Vieweg Advanced Studies in Computer Science. Num Pages: 224 pages, biography. BIC Classification: UYFP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 210 x 148 x 12. Weight in Grams: 318. . 1994. Paperback. . . . .
Langue : anglais
Edité par Vieweg Verlag, Friedr, & Sohn Verlagsgesellschaft mbH, 1994
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Vendeur : Books Puddle, New York, NY, Etats-UnisBooks Puddle
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Etat : New. pp. 242.
Langue : anglais
Edité par Friedrich Vieweg & Sohn Verlagsgesellschaft mbH, 1994
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Vendeur : Kennys Bookstore, Olney, MD, Etats-UnisKennys Bookstore
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EUR 161,48
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Etat : New. Contains 11 contributions which deal with true automatic parallelization, and the focus is on automatic methods. Some of the questions under discussion are: up to which degree is automatic parallelization for DMS possible today? In which cases can knowledge-based methods help? Editor(s): Kessler, Christoph W. Series:… Vieweg Advanced Studies in Computer Science. Num Pages: 224 pages, biography. BIC Classification: UYFP. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 210 x 148 x 12. Weight in Grams: 318. . 1994. Paperback. . . . . Books ship from the US and Ireland.
Langue : anglais
Edité par Vieweg+Teubner Verlag, Vieweg+Teubner Verlag, 1994
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Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH
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EUR 106,99
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Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Distributed-memory multiprocessing systems (DMS), such as Intel's hypercubes, the Paragon, Thinking Machine's CM-5, and the Meiko Computing Surface, have rapidly gained user acceptance and promise to deliver the computing power required to solve the gr…and challenge problems of Science and Engineering. These machines are relatively inexpensive to build, and are potentially scalable to large numbers of processors. However, they are difficult to program: the non-uniformity of the memory which makes local accesses much faster than the transfer of non-local data via message-passing operations implies that the locality of algorithms must be exploited in order to achieve acceptable performance. The management of data, with the twin goals of both spreading the computational workload and minimizing the delays caused when a processor has to wait for non-local data, becomes of paramount importance. When a code is parallelized by hand, the programmer must distribute the program's work and data to the processors which will execute it. One of the common approaches to do so makes use of the regularity of most numerical computations. This is the so-called Single Program Multiple Data (SPMD) or data parallel model of computation. With this method, the data arrays in the original program are each distributed to the processors, establishing an ownership relation, and computations defining a data item are performed by the processors owning the data.
Langue : anglais
Edité par Vieweg+Teubner, Vieweg+Teubner Verlag Jan 1994, 1994
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Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AllemagneBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Distributed-memory multiprocessing systems (DMS), such as Intel's hypercubes, the Paragon, Thinking Machine's CM-5, and the Meiko Computing Surface, have rapidly gained user acceptance and promise to deliver the computing power required… to solve the grand challenge problems of Science and Engineering. These machines are relatively inexpensive to build, and are potentially scalable to large numbers of processors. However, they are difficult to program: the non-uniformity of the memory which makes local accesses much faster than the transfer of non-local data via message-passing operations implies that the locality of algorithms must be exploited in order to achieve acceptable performance. The management of data, with the twin goals of both spreading the computational workload and minimizing the delays caused when a processor has to wait for non-local data, becomes of paramount importance. When a code is parallelized by hand, the programmer must distribute the program's work and data to the processors which will execute it. One of the common approaches to do so makes use of the regularity of most numerical computations. This is the so-called Single Program Multiple Data (SPMD) or data parallel model of computation. With this method, the data arrays in the original program are each distributed to the processors, establishing an ownership relation, and computations defining a data item are performed by the processors owning the data. 224 pp. Englisch.
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Vendeur : moluna, Greven, Allemagnemoluna
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Distributed-memory multiprocessing systems (DMS), such as Intel s hypercubes, the Paragon, Thinking Machine s CM-5, and the Meiko Computing Surface, have rapidly gained user acceptance and promise to deliver the computing… power required to solve the grand c.
Langue : anglais
Edité par Vieweg Verlag, Friedr, & Sohn Verlagsgesellschaft mbH, 1994
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Vendeur : Majestic Books, Hounslow, Royaume-UniMajestic Books
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Etat : New. Print on Demand pp. 242 25:B&W 5.83 x 8.27 in or 210 x 148 mm (A5) Perfect Bound on White w/Gloss Lam.
Langue : anglais
Edité par Vieweg Verlag, Friedr, & Sohn Verlagsgesellschaft mbH, 1994
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Vendeur : Biblios, frankfurt am main, HESSE, AllemagneBiblios
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Etat : New. PRINT ON DEMAND pp. 242.
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Vendeur : preigu, Osnabrück, Allemagnepreigu
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Taschenbuch. Etat : Neu. Automatic Parallelization | New Approaches to Code Generation, Data Distribution, and Performance Prediction | Christoph W. Kessler | Taschenbuch | xi | Englisch | 1994 | Vieweg & Teubner | EAN 9783528054014 | Verantwortliche Person für die EU: Springer Vieweg in Springer Science + Business Media, Abraha…m-Lincoln-Str. 46, 65189 Wiesbaden, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Langue : anglais
Edité par Vieweg+Teubner Verlag, Vieweg+Teubner Verlag Jan 1994, 1994
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagnebuchversandmimpf2000
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -Distributed-memory multiprocessing systems (DMS), such as Intel's hypercubes, the Paragon, Thinking Machine's CM-5, and the Meiko Computing Surface, have rapidly gained user acceptance and promise to deliver the computing power required to…solve the grand challenge problems of Science and Engineering. These machines are relatively inexpensive to build, and are potentially scalable to large numbers of processors. However, they are difficult to program: the non-uniformity of the memory which makes local accesses much faster than the transfer of non-local data via message-passing operations implies that the locality of algorithms must be exploited in order to achieve acceptable performance. The management of data, with the twin goals of both spreading the computational workload and minimizing the delays caused when a processor has to wait for non-local data, becomes of paramount importance. When a code is parallelized by hand, the programmer must distribute the program's work and data to the processors which will execute it. One of the common approaches to do so makes use of the regularity of most numerical computations. This is the so-called Single Program Multiple Data (SPMD) or data parallel model of computation. With this method, the data arrays in the original program are each distributed to the processors, establishing an ownership relation, and computations defining a data item are performed by the processors owning the data.Springer Vieweg in Springer Science + Business Media, Abraham-Lincoln-Straße 46, 65189 Wiesbaden 240 pp. Englisch.
