Block low‐rank single precision coarse grid solvers for extreme scale multigrid methods

Extreme scale simulation requires fast and scalable algorithms, such as multigrid methods. To achieve asymptotically optimal complexity, it is essential to employ a hierarchy of grids. The cost to solve the coarsest grid system can often be neglected in sequential computings, but cannot be ignored i...

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Veröffentlicht in:	Numerical linear algebra with applications Jg. 29; H. 1
Hauptverfasser:	Buttari, Alfredo, Huber, Markus, Leleux, Philippe, Mary, Theo, Rüde, Ulrich, Wohlmuth, Barbara
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Wiley Subscription Services, Inc 01.01.2022 Wiley
Schlagworte:	Algorithms Analysis of PDEs Approximation Asymptotic methods block low‐rank Computer Science Distributed, Parallel, and Cluster Computing efficient coarse level solver hierarchical hybrid grids high‐performance computing Iterative methods Mathematics Multigrid methods MUMPS Saddle points Solvers sparse direct solver sparse direct solver block low-rank efficient coarse level solver hierarchical hybrid grids geometric multigrid MUMPS multifrontal high-performance computing
ISSN:	1070-5325, 1099-1506
Online-Zugang:	Volltext
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