Articoli correlati a Data-Parallel Programming on Mimd Computers
Sinossi
Data-Parallel Programming demonstrates that architecture-independent parallel programming is possible by describing in detail how programs written in a high-level SIMD programming language may be compiled and efficiently executed-on both shared-memory multiprocessors and distributed-memory multicomputers.
MIMD computers are notoriously difficult to program. Data-Parallel Programming demonstrates that architecture-independent parallel programming is possible by describing in detail how programs written in a high-level SIMD programming language may be compiled and efficiently executed-on both shared-memory multiprocessors and distributed-memory multicomputers. The authors provide enough data so that the reader can decide the feasibility of architecture-independent programming in a data-parallel language. For each benchmark program they give the source code listing, absolute execution time on both a multiprocessor and a multicomputer, and a speedup relative to a sequential program. And they often present multiple solutions to the same problem, to better illustrate the strengths and weaknesses of these compilers. The language presented is Dataparallel C, a variant of the original C* language developed by Thinking Machines Corporation for its Connection Machine processor array. Separate chapters describe the compilation of Dataparallel C programs for execution on the Sequent multiprocessor and the Intel and nCUBE hypercubes, respectively. The authors document the performance of these compilers on a variety of benchmark programs and present several case studies.
Philip J. Hatcher is Assistant Professor in the Department of Computer Science at the University of New Hampshire. Michael J. Quinn is Associate Professor of Computer Science at Oregon State University.
Contents: Introduction. Dataparallel C Programming Language Description. Design of a Multicomputer Dataparallel C Compiler. Design of a Multiprocessor Dataparallel C Compiler. Writing Efficient Programs. Benchmarking the Compilers. Case Studies. Conclusions.
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L'autore
Michael J. Quinn is Dean of the College of Science and Engineering atSeattle University.
Product Description
Book by Hatcher Philip J Quinn Michael J
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- EditoreMit Pr
- Data di pubblicazione1991
- ISBN 10 0262082055
- ISBN 13 9780262082051
- RilegaturaCopertina rigida
- LinguaInglese
- Numero di pagine250
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Data-Parallel Programming on MIMD Computers (Scientific and Engineering Computation)
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Mit Pr, 1991
ISBN 10: 0262082055
ISBN 13: 9780262082051
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Data-Parallel Programming on MIMD Computers.
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Condizione: as new. Cambridge, MA: The MIT Press, 1991. Hardcover. Dustjacket. 231 pp.(Scientific and Engineering Computation). - MIMD computers are notoriously difficult to program. Data-Parallel Programming demonstrates that architecture-independent parallel programming is possible by describing in detail how programs written in a high-level SIMD programming language may be compiled and efficiently executed-on both shared-memory multiprocessors and distributed-memory multicomputers.The authors provide enough data so that the reader can decide the feasibility of architecture-independent programming in a data-parallel language. For each benchmark program they give the source code listing, absolute execution time on both a multiprocessor and a multicomputer, and a speedup relative to a sequential program. And they often present multiple solutions to the same problem, to better illustrate the strengths and weaknesses of these compilers.The language presented is Dataparallel C, a variant of the original C* language developed by Thinking Machines Corporation for its Connection Machine processor array. Separate chapters describe the compilation of Dataparallel C programs for execution on the Sequent multiprocessor and the Intel and nCUBE hypercubes, respectively. The authors document the performance of these compilers on a variety of benchmark programs and present several case studies.Philip J. Hatcher is Assistant Professor in the Department of Computer Science at the University of New Hampshire. Michael J. Quinn is Associate Professor of Computer Science at Oregon State University.Contents: Introduction. Dataparallel C Programming Language Description. Design of a Multicomputer Dataparallel C Compiler. Design of a Multiprocessor Dataparallel C Compiler. Writing Efficient Programs. Benchmarking the Compilers. Case Studies. Conclusions. English text. Condition : as new. Condition : as new copy. ISBN 9780262082051. Keywords : , Codice articolo 263635
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Data-Parallel Programming on MIMD Computers Scientific and Engineering Computation
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Hardcover-Großformat. Condizione: Gut. 231 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: 660. Codice articolo 2138655
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Data-Parallel Programming on MIMD Computers (Scientific & Engineering Computation)
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Mit Pr 30.12.1991., 1991
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ISBN 13: 9780262082051
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Condizione: Sehr gut. Auflage: New. 250 Seiten ex Library Book / aus einer wissenschafltichen Bibliothek / Sprache: Englisch Gewicht in Gramm: 969 23,7 x 18,5 x 2,0 cm, Gebundene Ausgabe. Codice articolo 367816
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Condizione: Sehr gut. Zustand: Sehr gut - Gepflegter, sauberer Zustand. Aus der Auflösung einer renommierten Bibliothek. Kann Stempel beinhalten. | Seiten: 250 | Sprache: Englisch | Produktart: Bücher. Codice articolo 2391787/202
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