NDLI: Scalable parallel arc consistency algorithms for shared memory computers

Content Provider	IEEE Xplore Digital Library
Author	Conrad, J.M. Agrawal, D.P. Bahler, D.R.
Copyright Year	1992
Description	Author affiliation: North Carolina State Univ., Raleigh, NC, USA (Conrad, J.M.; Agrawal, D.P.)
Abstract	The paper introduces three scalable static parallel arc consistency algorithms (SPAC-1, SPAC-2 and SPAC-3) designed for any general-purpose shared memory multiple instruction-stream, multiple data-stream (MIMD) computer. The algorithms are intended for constraint satisfaction problems in AI applications. Arc consistency is ensured of a finite domain binary constraint network. Through actual machine experimentation the paper measures work performed by the SPAC algorithms and compares it with work performed by existing sequential algorithms, AC-1 and AC-3. Results shows that the parallel arc consistency algorithms can be effectively used to pre-process a constraint network.
Starting Page	242
Ending Page	249
File Size	592541
Page Count	8
File Format	PDF
ISBN	0818626720
DOI	10.1109/IPPS.1992.223039
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1992-03-23
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Concurrent computing Parallel processing Artificial intelligence Performance evaluation Application software Computer aided instruction Computer science Algorithm design and analysis Size measurement
Content Type	Text
Resource Type	Article

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Scalable parallel arc consistency algorithms for shared memory computers