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The Data Parallel Programming Model
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Foundations, HPF Realization, and Scientific Applications
Paperback
Print on Demand | Lieferzeit: Print on Demand - Lieferbar innerhalb von 3-5 Werktagen I
Artikel-Nr:
9783540617365
Veröffentl:
1996
Einband:
Paperback
Erscheinungsdatum:
11.09.1996
Seiten:
308
Autor:
Alain Darte
Gewicht:
470 g
Format:
235x155x17 mm
Serie:
1132, Lecture Notes in Computer Science
Sprache:
Englisch
Beschreibung:
This monograph-like book assembles the thorougly revised and cross-reviewed lectures given at the School on Data Parallelism, held in Les Menuires, France, in May 1996.
The book is a unique survey on the current status and future perspectives of the currently very promising and popular data parallel programming model. Much attention is paid to the style of writing and complementary coverage of the relevant issues throughout the 12 chapters. Thus these lecture notes are ideally suited for advanced courses or self-instruction on data parallel programming. Furthermore, the book is indispensable reading for anybody doing research in data parallel programming and related areas.
The book is a unique survey on the current status and future perspectives of the currently very promising and popular data parallel programming model. Much attention is paid to the style of writing and complementary coverage of the relevant issues throughout the 12 chapters. Thus these lecture notes are ideally suited for advanced courses or self-instruction on data parallel programming. Furthermore, the book is indispensable reading for anybody doing research in data parallel programming and related areas.
The data parallel programming model: A semantic perspective.- An introduction to HPF.- A data parallel scientific computing introduction.- Current status of the SUIF research project.- Automatic parallelization in the polytope model.- State of the art in compiling HPF.- Tools for high performance fortran: A survey.- Implementing data parallel programs on commodity clusters.- Task parallelism and high-performance languages.- Supporting irregular and dynamic computations in data parallel languages.- Data parallelism and functional programming.- Formal validation of data parallel programs: Introducing the assertional approach.