Large-scale simulation of mantle convection based on a new matrix-free approach

被引:19
|
作者
Bauer, S. [1 ]
Huber, M. [2 ]
Ghelichkhan, S. [1 ]
Mohr, M. [1 ]
Ruede, U. [3 ,4 ]
Wohlmuth, B. [2 ]
机构
[1] Ludwig Maximilians Univ Munchen, Dept Earth & Environm Sci, Munich, Germany
[2] Tech Univ Munich, Inst Numer Math M2, Munich, Germany
[3] FAU Erlangen Nurnberg, Dept Comp Sci 10, Erlangen, Germany
[4] CERFACS, Parallel Algorithms Project, Toulouse, France
关键词
Two-scale PDE discretization; Massively parallel multigrid; Matrix-free on-the-fly assembly; Large scale geophysical application; Dynamic topography; HIERARCHICAL HYBRID GRIDS; DYNAMIC TOPOGRAPHY; MODELS; PERFORMANCE; VISCOSITY; HETEROGENEITY; ALGORITHMS; ANOMALIES; SOLVERS; MOTION;
D O I
10.1016/j.jocs.2018.12.006
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, we report on a two-scale approach for efficient matrix-free finite element simulations. It is an extended version of our previous conference publication [1]. The proposed method is based on surrogate element matrices constructed by low order polynomial approximations. It is applied to a Stokes-type PDE system with variable viscosity as is a key component in mantle convection models. We set the ground for a rigorous performance analysis inspired by the concept of parallel textbook multigrid efficiency and study the weak scaling behavior on SuperMUC, a peta-scale supercomputer system. For a complex geodynamical model, we achieve, on up to 47 250 compute cores, a parallel efficiency of 93% for application of the discrete operator and 83% for a complete Uzawa V-cycle including the coarse grid solve. Our largest simulation uses a trillion (O(10(12))) degrees of freedom for a global mesh resolution of 1.5 km. Applicability of our new approach for geodynamical problems is demonstrated by investigating dynamic topography for classical benchmark settings as well as for high-resolution models with lateral viscosity variations. (C) 2018 Elsevier B.V. All rights reserved.
引用
收藏
页码:60 / 76
页数:17
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