Activity Number:
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33
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Type:
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Topic Contributed
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Date/Time:
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Sunday, August 11, 2002 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Statistical Computing*
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Abstract - #301436 |
Title:
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Parallel Multivariate Integration: Paradigms and Applications
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Author(s):
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Elise de Doncker*+ and Laurentiu Cucos and Rodger Zanny
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Affiliation(s):
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Western Michigan University and Western Michigan University and Western Michigan University
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Address:
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Friedman Hall, Kalamazoo, Michigan, 49008, U.S.
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Keywords:
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multivariate integration ; parallel strategies ; work distribution ; quasi-Monte Carlo ; task partitioning ; parallel efficiency
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Abstract:
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The paper will examine paradigms currently used in parallel strategies for multivariate integration algorithms. These include process structure (for example, with centralized control) and work distribution strategies (static or dynamic) in synchronous or asynchronous implementations. The target algorithm classes are Monte Carlo, quasi-Monte Carlo, and adaptive. Strengths and weaknesses of the resulting parallel algorithms will be discussed for various problem categories in order to delineate their areas of effective applicability.
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