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Improved parallel sorting of presorted sequences
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Lunds universitet.
1992 (English)In: Parallel Processing: CONPAR 92-VAPP V: Second Joint International Conference on Vector and Parallel Processing Lyon, France, September 1-4, 1992 Proceedings, Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 1992, p. 539-544Conference paper, Published paper (Refereed)
Abstract [en]

An adaptive parallel sorting algorithm is presented, which is cost optimal with respect to the number of oscillations in a sequence (Osc). More specifically, the algorithm sorts any sequence X of length n in time O(log n) by using O(n/log n · log Osc(X)/n) CRCW PRAM processors. This is the first adaptive parallel sorting algorithm that is cost optimal with respect to Osc and, hence, it is also optimal with respect to both the number of inversions (Inv) and the number of runs (Runs) in the sequence. Our result improves previous results on adaptive parallel sorting.

Place, publisher, year, edition, pages
Berlin: Encyclopedia of Global Archaeology/Springer Verlag, 1992. p. 539-544
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 634
National Category
Computer Sciences
Research subject
Dependable Communication and Computation Systems
Identifiers
URN: urn:nbn:se:ltu:diva-28377DOI: 10.1007/3-540-55895-0_452Local ID: 227e1ad0-a7f8-11dc-9534-000ea68e967bISBN: 978-3-540-55895-8 (print)OAI: oai:DiVA.org:ltu-28377DiVA, id: diva2:1001573
Conference
Joint International Conference on Vector and Parallel Processing : 01/09/1992 - 04/09/1992
Note
Godkänd; 1992; 20071211 (ysko)Available from: 2016-09-30 Created: 2016-09-30 Last updated: 2018-01-14Bibliographically approved

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Chen, Jingsen

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