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Parallel Median Splitting and k-Splitting with Application to Merging and Sorting
May 1993 (vol. 4 no. 5)
pp. 559-565

Multiple-instruction multiple-data (MIMD) algorithms that use multiple processors to domedian splitting, k-splitting and parallel splitting into t equal sections are presented. Bothconcurrent read, exclusive write (CREW) and exclusive read, exclusive write (EREW)versions of the algorithms are given. It is shown that a k-splitting problem can be easilyconverted into a median-splitting problem. Methods for finding multiple split points quickly and application of k-splitting to merging and sorting are discussed.

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Index Terms:
Index Termsk-splitting; merging; sorting; median splitting; parallel splitting; parallel algorithms; sorting
R. Xiong, T. Brown, "Parallel Median Splitting and k-Splitting with Application to Merging and Sorting," IEEE Transactions on Parallel and Distributed Systems, vol. 4, no. 5, pp. 559-565, May 1993, doi:10.1109/71.224218
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