Large-Scale Parallel Breadth-First Search

Richard E. Korf, Peter Schultze

Recently, best-first search algorithms have been introduced that store their nodes on disk, to avoid their inherent memory limitation. We introduce several improvements to the best of these, including parallel processing, to reduce their storage and time requirements. We also present a linear-time algorithm for bijectively mapping permutations to integers in lexicographic order. We use breadth-first searches of sliding-tile puzzles as testbeds. On the 3x5 Fourteen Puzzle, we reduce both the storage and time needed by a factor of 3.5 on two processors. We also performed the first complete breadth-first search of the 4x4 Fifteen Puzzle, with over ten trillion states.

Content Area: 18.Search

Subjects: 15.7 Search; 15. Problem Solving

Submitted: May 10, 2005


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