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
Link To Document :
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