Download Algorithms and Architectures for Parallel Processing: 8th by Hong Shen (auth.), Anu G. Bourgeois, S. Q. Zheng (eds.) PDF

By Hong Shen (auth.), Anu G. Bourgeois, S. Q. Zheng (eds.)

ISBN-10: 3540695001

ISBN-13: 9783540695004

This publication constitutes the refereed lawsuits of the eighth overseas convention on Algorithms and Architectures for Parallel Processing, ICA3PP 2008, held in Agia Napa, Cyprus, in June 2008.

The 31 revised complete papers offered including 1 keynote speak and 1 educational have been conscientiously reviewed and chosen from 88 submissions. The papers are prepared in topical sections on scheduling and cargo balancing, interconnection networks, parallel algorithms, dispensed platforms, parallelization instruments, grid computing, and software program systems.

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Sample text

That is , the sequence {x1 , x2 , . . , xv } is a rearrangement of {1, 2, . . , v}. And y = (y1 , y2 , . . , yp−1 ) is an integer decision vector with y0 ≡ 0 ≤ y1 ≤ y2 ≤ . . ≤ yp−1 ≤ v ≡ yp . We note that the schedule is fully determined by the decision vectors x and y in the following way. For each k(1 ≤ k ≤ p), if yk = yk−1 , processor k is not used; if yk > yk−1 , processor k is used and processes nodes nxyk−1 +1 , nxyk−1 +2 , . . , nxyk in turn. Thus the schedule of all processors is as follows: Processor 1: nxy0 +1 → nxy0 +2 → .

Access to research and computing facilities was provided by the Digital Technology Center and the Minnesota Supercomputing Institute. A. Q. ): ICA3PP 2008, LNCS 5022, pp. 42–53, 2008. c Springer-Verlag Berlin Heidelberg 2008 Architecture Aware Partitioning Algorithms 43 balancing. Even on a smaller scale, clusters of PCs have become a popular alternative for running distributed applications. The cost effectiveness of adding new, and more powerful nodes to an existing cluster, and therefore increasing the cluster potential, is an appealing solution to a lot of institutions and researchers.

By summing up the elapse times of all individual processors, we have an estimate of the overall time (SumElTime) that all processors will be occupied: ElapseT imeVpii T otalElapseT ime = pi ∈P Application Elapse Time. The actual run time of the parallel application (MaxElTime) will be determined by that processor that needs the most time to complete. Therefore, no matter how good the quality of a partitioning is, its overall performance is driven by its ”worst” partition: ElapseT ime = max{ElapseT imeVpii } pi ∈P 4 Framework for Architecture-Aware Partitioning One of the key ideas of our architecture-aware partitioning algorithms is that they follow the two-phase approach.

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