Parallel Multivariate Integration: Paradigms and Applications
نویسندگان
چکیده
We examine current paradigms in parallel strategies for multivariate integration algorithms. These include various process structures (centralized vs. global) 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 parallel algorithm areas of effective applicability.
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تاریخ انتشار 2002