JOURNAL ARTICLE

A novel discrete relaxation architecture

J. GuW. Wang

Year: 1992 Journal:   IEEE Transactions on Pattern Analysis and Machine Intelligence Vol: 14 (8)Pages: 857-865   Publisher: IEEE Computer Society

Abstract

The discrete relaxation algorithm (DRA) is a computational technique that enforces arc consistency (AC) in a constraint satisfaction problem (CSP). The original sequential AC-1 algorithm suffers from O(n/sup 3/m/sup 3/) time complexity, and even the optimal sequential AC-4 algorithm is O(n/sup 2/m/sup 2/) for an n-object and m-label DRA problem. Sample problem runs show that these algorithms are all too slow to meet the need for any useful, real-time CSP applications. A parallel DRA5 algorithm that reaches a lower bound of O(nm) (where the number of processors is polynomial in the problem size) is given. A fine-grained, massively parallel hardware computer architecture has been designed for the DRA5 algorithm. For practical problems, many orders of magnitude of efficiency improvement can be reached on such a hardware architecture.< >

Keywords:
Computer science Constraint satisfaction problem Massively parallel Relaxation (psychology) Architecture Time complexity Local consistency Computational complexity theory Algorithm Parallel computing Artificial intelligence Probabilistic logic

Metrics

24
Cited By
4.80
FWCI (Field Weighted Citation Impact)
23
Refs
0.94
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Constraint Satisfaction and Optimization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
Optimization and Search Problems
Physical Sciences →  Computer Science →  Computer Networks and Communications

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