A novel algorithm of optimal matrix partitioning for parallel dense factorization on heterogeneous processors

  • Authors:
  • Alexey Lastovetsky;Ravi Reddy

  • Affiliations:
  • School of Computer Science and Informatics, University College Dublin, Belfield, Dublin, Ireland;School of Computer Science and Informatics, University College Dublin, Belfield, Dublin, Ireland

  • Venue:
  • PaCT'07 Proceedings of the 9th international conference on Parallel Computing Technologies
  • Year:
  • 2007

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Abstract

In this paper, we present a novel algorithm of optimal matrix partitioning for parallel dense matrix factorization on heterogeneous processors based on their constant performance model. We prove the correctness of the algorithm and estimate its complexity. We demonstrate that this algorithm better suits extensions to more complicated, non-constant, performance models of heterogeneous processors than traditional algorithms.