DocumentCode :
1243653
Title :
Multiway merging in parallel
Author :
Wen, Zhaofang
Author_Institution :
Hewlett Packard Convex Technol. Centre, Richardson, TX, USA
Volume :
7
Issue :
1
fYear :
1996
fDate :
1/1/1996 12:00:00 AM
Firstpage :
11
Lastpage :
17
Abstract :
The problem of merging k (k⩾2) sorted lists is considered. We give an optimal parallel algorithm which takes O((n log k/p)+log n) time using p processors on a parallel random access machine that allows concurrent reads and exclusive writes, where n is the total size of the input lists. This algorithm achieves O(log n) time using p=n log k/log n processors. Most of the previous log n research for this problem has been focused on the case when k=2. Very recently, parallel solutions for the case when k=2 have been reported. Our solution is the first logarithmic time optimal parallel algorithm for the problem when k⩾2. It can also be seen as a unified optimal parallel algorithm for sorting and merging. In order to support the algorithm, a new processor assignment strategy is also presented
Keywords :
computational complexity; concurrency control; database theory; list processing; merging; parallel algorithms; sorting; computation time; concurrent reads; exclusive writes; input lists; logarithmic time optimal parallel algorithm; optimal parallel algorithm; parallel multiway merging; parallel random access machine; parallel solutions; processor assignment strategy; processors; sorted list merging; sorting; unified optimal parallel algorithm; Computer Society; Concurrent computing; Database systems; Hardware; Helium; Information retrieval; Merging; Parallel algorithms; Sorting;
fLanguage :
English
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9219
Type :
jour
DOI :
10.1109/71.481593
Filename :
481593
Link To Document :
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