Scaling Search with Pattern Databases

  • Authors:
  • Stefan Edelkamp;Shahid Jabbar;Peter Kissmann

  • Affiliations:
  • Technische Universität Dortmund,;Technische Universität Dortmund,;Technische Universität Dortmund,

  • Venue:
  • Model Checking and Artificial Intelligence
  • Year:
  • 2009

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Abstract

In this paper, we illustrate efforts to perform memory efficient large-scale search. We first generate sets of disjoint symbolic pattern databases on disk. These pattern databases are then used for heuristic guidance, while applying explicit-state external-memory heuristic search. Different options for parallelization to save time and memory are presented. The general techniques are mapped to the (n 2 *** 1)-puzzle as a large-scale case study.