Fast Tensor Product Schwarz Smoothers for High-Order Discontinuous Galerkin Methods
arXiv:1910.11239 · doi:10.1515/cmam-2020-0078
Abstract
In this article, we discuss the efficient implementation of powerful domain decomposition smoothers for multigrid methods for high order discontinuous Galerkin (DG) finite element methods. In particular, we study the inversion of matrices associated to mesh cells and to the patches around a vertex, respectively, in order to obtain fast local solvers for additive and multiplicative subspace correction methods. The effort of inverting local matrices for tensor product polynomials of degree is reduced from to by exploiting the separability of the differential operator and resulting low rank representation of its inverse as a prototype for more general low rank representations.
References in corpus (7)
- LIKWID: Lightweight Performance Tools
- Fast matrix-free evaluation of discontinuous Galerkin finite element operators
- Approximate tensor-product preconditioners for very high order discontinuous Galerkin methods
- Matrix-free multigrid block-preconditioners for higher order Discontinuous Galerkin discretisations
- Multigrid methods for Hdiv-conforming discontinuous Galerkin methods for the Stokes equations
- Geometric Multigrid for Darcy and Brinkman models of flows in highly heterogeneous porous media: A numerical study
- Robust multigrid for high-order discontinuous Galerkin methods: A fast Poisson solver suitable for high-aspect ratio Cartesian grids
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- Tensor-product vertex patch smoothers for biharmonic problems