DocumentCode
1810368
Title
Efficient implementation of sorting algorithms on asynchronous distributed-memory machines
Author
Zhou, B.B. ; Brent, R.P. ; Tridgell, A.
Author_Institution
Comput. Sci. Lab., Australian Nat. Univ., Canberra, ACT, Australia
fYear
1994
fDate
19-22 Dec 1994
Firstpage
102
Lastpage
106
Abstract
The problem of merging two sequences of elements which are stored separately in two processing elements (PEs) occurs in the implementation of many existing sorting algorithms. We describe efficient algorithms for the merging problem on asynchronous distributed-memory machines. The algorithms reduce the cost of the merge operation and of communication, as well as partly solving the problem of load balancing. Experimental results on a Fujitsu AP1000 are reported
Keywords
distributed memory systems; merging; performance evaluation; sorting; Fujitsu AP1000; asynchronous distributed-memory machines; load balancing; merge operation; merging; processing elements; sorting algorithms; Australia; Costs; Delay; Distributed computing; Laboratories; Load management; Merging; Sorting; Topology;
fLanguage
English
Publisher
ieee
Conference_Titel
Parallel and Distributed Systems, 1994. International Conference on
Conference_Location
Hsinchu
Print_ISBN
0-8186-6555-6
Type
conf
DOI
10.1109/ICPADS.1994.590058
Filename
590058
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