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DC Field | Value | Language |
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dc.creator | Cheng, David R. | - |
dc.creator | Shah, Viral | - |
dc.creator | Gilbert, John R. | - |
dc.creator | Edelman, Alan | - |
dc.date | 2004-12-13T06:10:47Z | - |
dc.date | 2004-12-13T06:10:47Z | - |
dc.date | 2005-01 | - |
dc.date.accessioned | 2013-10-09T02:49:27Z | - |
dc.date.available | 2013-10-09T02:49:27Z | - |
dc.date.issued | 2013-10-09 | - |
dc.identifier | http://hdl.handle.net/1721.1/7418 | - |
dc.identifier.uri | http://koha.mediu.edu.my:8181/xmlui/handle/1721 | - |
dc.description | We 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.description | Singapore-MIT Alliance (SMA) | - |
dc.format | 122908 bytes | - |
dc.format | application/pdf | - |
dc.language | en | - |
dc.relation | Computer Science (CS); | - |
dc.subject | Parallel sorting | - |
dc.subject | distributed-memory algorithms | - |
dc.subject | High Performance Computing | - |
dc.title | Fast Sorting on a Distributed-Memory Architecture | - |
dc.type | Article | - |
Appears in Collections: | MIT Items |
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