Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7418
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dc.creatorCheng, David R.-
dc.creatorShah, Viral-
dc.creatorGilbert, John R.-
dc.creatorEdelman, Alan-
dc.date2004-12-13T06:10:47Z-
dc.date2004-12-13T06:10:47Z-
dc.date2005-01-
dc.date.accessioned2013-10-09T02:49:27Z-
dc.date.available2013-10-09T02:49:27Z-
dc.date.issued2013-10-09-
dc.identifierhttp://hdl.handle.net/1721.1/7418-
dc.identifier.urihttp://koha.mediu.edu.my:8181/xmlui/handle/1721-
dc.descriptionWe consider the often-studied problem of sorting, for a parallel computer. Given an input array distributed evenly over p processors, the task is to compute the sorted output array, also distributed over the p processors. Many existing algorithms take the approach of approximately load-balancing the output, leaving each processor with Θ(n/p) elements. However, in many cases, approximate load-balancing leads to inefficiencies in both the sorting itself and in further uses of the data after sorting. We provide a deterministic parallel sorting algorithm that uses parallel selection to produce any output distribution exactly, particularly one that is perfectly load-balanced. Furthermore, when using a comparison sort, this algorithm is 1-optimal in both computation and communication. We provide an empirical study that illustrates the efficiency of exact data splitting, and shows an improvement over two sample sort algorithms.-
dc.descriptionSingapore-MIT Alliance (SMA)-
dc.format122908 bytes-
dc.formatapplication/pdf-
dc.languageen-
dc.relationComputer Science (CS);-
dc.subjectParallel sorting-
dc.subjectdistributed-memory algorithms-
dc.subjectHigh Performance Computing-
dc.titleFast Sorting on a Distributed-Memory Architecture-
dc.typeArticle-
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