Parallel and distributed algorithms for finite constraint satisfaction problems

  • Authors:
  • Ying Zhang; Mackworth

  • Affiliations:
  • Dept. of Comput. Sci., British Columbia Univ., Vancouver, BC, Canada;Dept. of Comput. Sci., British Columbia Univ., Vancouver, BC, Canada

  • Venue:
  • SPDP '91 Proceedings of the 1991 Third IEEE Symposium on Parallel and Distributed Processing
  • Year:
  • 1991

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Abstract

The authors develop two new algorithms for solving a finite constraint satisfaction problem (FCSP) in parallel. In particular, they give a parallel algorithm for the EREW PRAM model and a distributed algorithm for networks of interconnected processors. If an FCSP can be represented by an acyclic constraint network of size n with width bounded by a constant then: the parallel algorithm takes O(log n) time using O(n) processors and there is a mapping of this problem to a distributed computing network of poly(n) processors which stabilizes in O(log n) time.