DocumentCode :
2371249
Title :
Generalized parallel selection in sorted matrices
Author :
Shen, Hong
Author_Institution :
Sch. of Comput. & Inf. Technol., Griffith Univ., Nathan, Qld., Australia
fYear :
1996
fDate :
23-26 Oct 1996
Firstpage :
281
Lastpage :
285
Abstract :
This paper presents a parallel algorithm running in time O(log m log* m(log log m+log(n/m))) time on an EREW PRAM with O(m/(log m log* m)) processors for the problem of selection in an m×n matrix with sorted rows and columns, m⩽n. Our algorithm generalizes the result of Sarnath and He (1992) for selection in a sorted matrix of equal dimensions, and thus answers the open question they posted. The algorithm is work-optimal when n⩾m log m, and near optimal within O(log log m) factor otherwise. We show that our algorithm can be generalized to solve the selection problem on a set of sorted matrices of arbitrary dimensions
Keywords :
computational complexity; matrix algebra; parallel algorithms; EREW PRAM; parallel algorithm; parallel selection; selection problem; sorted matrices; sorted matrix; Australia; Computer science; Concurrent computing; Helium; Information technology; Parallel algorithms; Phase change random access memory; Symmetric matrices; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing, 1996., Eighth IEEE Symposium on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-8186-7683-3
Type :
conf
DOI :
10.1109/SPDP.1996.570345
Filename :
570345
Link To Document :
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