DocumentCode
977151
Title
The parallel assignment problem redefined
Author
May, C.
Author_Institution
IBM Thomas J. Watson Res. Center, Yorktown Heights, NY
Volume
15
Issue
6
fYear
1989
fDate
6/1/1989 12:00:00 AM
Firstpage
821
Lastpage
824
Abstract
The parallel assignment problem is slightly redefined using a subtler cost function that tends to reduce the number of extra assignments required. It is shown that the new problem, like the classical, is NP-hard. The new problem is then solved for the restricted case of assignment from invertible functions of single variables. For this restricted case and optimum solution can be found in linear time for both the classical problem and the new problem. However, the number of extra assignments required for the classical problem is equal to the number of cycles in the dependency graph, while in the new problem it is equal to the number of isolated cycles in the dependency graph which may be less
Keywords
computational complexity; parallel algorithms; parallel programming; NP-hard; classical problem; cost function; dependency graph; invertible functions; isolated cycles; linear time; optimum solution; parallel assignment problem; restricted case; single variables; Artificial intelligence; Cost function; Couplings;
fLanguage
English
Journal_Title
Software Engineering, IEEE Transactions on
Publisher
ieee
ISSN
0098-5589
Type
jour
DOI
10.1109/32.24735
Filename
24735
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