Parallelization of multilevel ILU preconditioners on distributed-memory multiprocessors

  • Authors:
  • José I. Aliaga;Matthias Bollhöfer;Alberto F. Martín;Enrique S. Quintana-Ortí

  • Affiliations:
  • Dpto. de Ingen. y Ciencia de Computadores, Universidad Jaume I, Spain;Institute of Computational Mathematics, TU-Braunschweig, Germany;Dpto. de Ingen. y Ciencia de Computadores, Universidad Jaume I, Spain;Dpto. de Ingen. y Ciencia de Computadores, Universidad Jaume I, Spain

  • Venue:
  • PARA'10 Proceedings of the 10th international conference on Applied Parallel and Scientific Computing - Volume Part I
  • Year:
  • 2010

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Abstract

In this paper we investigate the parallelization of the ILUPACK library for the solution of sparse linear systems on distributed-memory multiprocessors. The parallelization approach employs multilevel graph partitioning algorithms in order to identify a set of concurrent tasks and their dependencies, which are then statically mapped to processors. Experimental results on a cluster of Intel QuadCore processors report remarkable speed-ups.