Counting polyominoes: a parallel implementation for cluster computing

  • Authors:
  • Iwan Jensen

  • Affiliations:
  • Department of Mathematics and Statistics, The University of Melbourne, Victoria, Australia

  • Venue:
  • ICCS'03 Proceedings of the 2003 international conference on Computational science: PartIII
  • Year:
  • 2003

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Abstract

The exact enumeration of most interesting combinatorial problems has exponential computational complexity. The finite-lattice method reduces this complexity for most two-dimensional problems. The basic idea is to enumerate the problem on small finite lattices using a transfer-matrix formalism. Systematically grow the size of the lattices and combine the results in order to obtain the desired series for the infinite lattice limit. We have developed a parallel algorithm for the enumeration of polyominoes, which are connected sets of lattice cells joined at an edge. The algorithm implements the finite-lattice method and associated transfer-matrix calculations in a very efficient parallel setup. Test runs of the algorithm on a HP server cluster indicates that in this environment the algorithm scales perfectly from 2 to 64 processors.