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Lecture Notes In Computer Science - 748: Parallel Symbolic Computing

Languages, Systems, And Applications: US/Japan Workshop, Cambridge, MA, USA, October 14-17, 1992. Proceedings

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  • 436 Seiten
  • 16 Lesestunden

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Parallel and distributed computing are becoming increasingly important as cost-effective ways to achieve high computational performance. Symbolic computations are notable for their use of irregular data structures and hence parallel symbolic computing has its own distinctive set of technical challenges. The papers in this book are based on presentations made at a workshop at MIT in October 1992. They present results in a wide range of areas including: speculative computation, scheduling techniques, program development tools and environments, programming languages and systems, models of concurrency and distribution, parallel computer architecture, and symbolic applications.

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Lecture Notes In Computer Science - 748: Parallel Symbolic Computing, Robert H. Halstead, Jr., Takayasu Ito

Sprache
Erscheinungsdatum
1993
Einband
(Paperback),
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Gebraucht - Gut
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Titel
Lecture Notes In Computer Science - 748: Parallel Symbolic Computing
Untertitel
Languages, Systems, And Applications: US/Japan Workshop, Cambridge, MA, USA, October 14-17, 1992. Proceedings
Sprache
Englisch
Verlag
Springer
Erscheinungsdatum
1993
Einband
Paperback
Seitenzahl
436
ISBN10
3540573968
ISBN13
9783540573968
Reihe
Schlagwörter
Hardware
Beschreibung
Parallel and distributed computing are becoming increasingly important as cost-effective ways to achieve high computational performance. Symbolic computations are notable for their use of irregular data structures and hence parallel symbolic computing has its own distinctive set of technical challenges. The papers in this book are based on presentations made at a workshop at MIT in October 1992. They present results in a wide range of areas including: speculative computation, scheduling techniques, program development tools and environments, programming languages and systems, models of concurrency and distribution, parallel computer architecture, and symbolic applications.