Factoring Solution Sets of Polynomial Systems in Parallel

  • Authors:
  • Anton Leykin;Jan Verschelde

  • Affiliations:
  • University of Illinois at Chicago;University of Illinois at Chicago

  • Venue:
  • ICPPW '05 Proceedings of the 2005 International Conference on Parallel Processing Workshops
  • Year:
  • 2005

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Abstract

We report on a first parallel implementation of a recent algorithm to factor positive dimensional solution sets of polynomial systems. As the algorithm uses homotopy continuation, we observe a good speedup of the path tracking jobs. However, for solution sets of high degree, the overhead of managing different homotopies and large lists of solutions exposes the limits of the master/servant parallel programming paradigm for this type of problem. A probabilistic complexity study suggests modifications to the method which will also improve the serial version of the original algorithm.