3 edition of Programming models for massively parallel computers, 1993 found in the catalog.
Published
1993
by IEEE Computer Society Press in Los Alamitos, Calif
.
Written in English
Edition Notes
Statement | edited by W.K. Giloi, S. Jähnichen, B.D. Shriver ; sponsored by Gesellschaft für Mathemtik und Datenverarbeitung (GMD First), Daimler Benz AG ; in cooperation with IEEE Computer Society, Gesellschaft für Informatik (GI). |
Contributions | Giloi, Wolfgang., Jähnichen, Stefan., Shriver, Bruce D., 1940-, Gesellschaft für Mathematik und Datenverararbeitung., Daimler Benz Aktiengesellschaft. |
Classifications | |
---|---|
LC Classifications | QA76.58 .P77 1993 |
The Physical Object | |
Pagination | viii, 211 p. : |
Number of Pages | 211 |
ID Numbers | |
Open Library | OL1444137M |
ISBN 10 | 0818649003, 0818649011 |
LC Control Number | 93079836 |
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Programming models for massively parallel computers, proceedings, September, Berlin, Germany. programming models for massively parallel computers: proceedings: September, Berlin, Germany.
Parallel programming models are closely related to models of computation. A model of parallel computation is an abstraction used to analyze the cost of computational processes, but it does. Massively parallel is the term for using a large number of computer processors (or separate computers) to simultaneously perform a set of coordinated computations in parallel.
One. Consequently, to make parallel computers widely usable, intensive research and development is needed in the areas of high-level programming models and programming tools, Author: Wolfgang K.
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Berkeley Co-author of Computer Architecture: A Quantitative Approach Written by two. Abstract. The data-parallel programming model is currently the most successful model for programming massively parallel computers.
Unfortunately, it is, in its present form, restricted to Cited by: competing parallel programming models and languages have emerged over the years. Some of these models and languages may provide a better solution to the parallel programming. The whole pyramid is implemented as a set of dynamically allocated arrays at initialization: the user supplies only the number of pyramidal layers.
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