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Parallel Algebraic Multigrid

In: Scientific Computing and Algorithms in Industrial Simulations

Author

Listed:
  • Hans-Joachim Plum

    (Fraunhofer Institute for Algorithms and Scientific Computing SCAI)

  • Arnold Krechel

    (Fraunhofer Institute for Algorithms and Scientific Computing SCAI)

  • Sebastian Gries

    (Fraunhofer Institute for Algorithms and Scientific Computing SCAI)

  • Bram Metsch

    (Fraunhofer Institute for Algorithms and Scientific Computing SCAI)

  • Fabian Nick

    (Fraunhofer Institute for Algorithms and Scientific Computing SCAI)

  • Marc Alexander Schweitzer

    (Fraunhofer Institute for Algorithms and Scientific Computing SCAI
    Institute for Numerical Simulation, Rheinische Friedrich-Wilhelms-Universität Bonn)

  • Klaus Stüben

    (Fraunhofer Institute for Algorithms and Scientific Computing SCAI)

Abstract

The efficient utilization of parallel computational capabilities of modern hardware architecture is a must in large scale industrial applications. In this paper we focus on the parallelization of algebraic multigrid (AMG) in general and identify the respective challenges imposed on any hierarchical iterative linear solver. Moreover, we summarize the strategies employed in the parallel implementation of our SAMG library to cope with these issues and present some performance indicators of SAMG in real-world industrial applications.

Suggested Citation

  • Hans-Joachim Plum & Arnold Krechel & Sebastian Gries & Bram Metsch & Fabian Nick & Marc Alexander Schweitzer & Klaus Stüben, 2017. "Parallel Algebraic Multigrid," Springer Books, in: Michael Griebel & Anton Schüller & Marc Alexander Schweitzer (ed.), Scientific Computing and Algorithms in Industrial Simulations, pages 121-134, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-62458-7_6
    DOI: 10.1007/978-3-319-62458-7_6
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