Parallel Algebraic Multigrid

Hans-Joachim Plum (), Arnold Krechel, Sebastian Gries, Bram Metsch, Fabian Nick, Marc Alexander Schweitzer () and Klaus Stüben
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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
Klaus Stüben: Fraunhofer Institute for Algorithms and Scientific Computing SCAI

A chapter in Scientific Computing and Algorithms in Industrial Simulations, 2017, pp 121-134 from Springer

Abstract: 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.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-62458-7_6

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DOI: 10.1007/978-3-319-62458-7_6

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