Towards a parallel Schwarz solver framework for virtual elements using GDSW coarse spaces
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arXiv
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| Main Authors: | , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866915609728516096 |
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| author | Bevilacqua, Tommaso Klawonn, Axel Lanser, Martin Wasiak, Adam |
| author_facet | Bevilacqua, Tommaso Klawonn, Axel Lanser, Martin Wasiak, Adam |
| contents | The Virtual Element Method (VEM) is used to perform the discretization of the Poisson problem on polygonal and polyhedral meshes. This results in a symmetric positive definite linear system, which is solved iteratively using overlapping Schwarz domain decomposition preconditioners, where to ensure robustness and parallel scalability a second level has to be employed. The construction and numerical study of two-level overlapping Schwarz preconditioners with variants of the GDSW (Generalized Dryja-Smith-Widlund) coarse space are presented here. Our PETSc-based parallel implementation of GDSW and variants, combined with the Vem++ library, represent the first parallel application of these GDSW preconditioners to VEM. Numerical experiments in 2D and 3D demonstrate scalability of our preconditioners up to 1 000 parallel cores for VEM discretizations of degrees k=1,2. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_07144 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Towards a parallel Schwarz solver framework for virtual elements using GDSW coarse spaces Bevilacqua, Tommaso Klawonn, Axel Lanser, Martin Wasiak, Adam Numerical Analysis 65N55, 65F08, 65N30 The Virtual Element Method (VEM) is used to perform the discretization of the Poisson problem on polygonal and polyhedral meshes. This results in a symmetric positive definite linear system, which is solved iteratively using overlapping Schwarz domain decomposition preconditioners, where to ensure robustness and parallel scalability a second level has to be employed. The construction and numerical study of two-level overlapping Schwarz preconditioners with variants of the GDSW (Generalized Dryja-Smith-Widlund) coarse space are presented here. Our PETSc-based parallel implementation of GDSW and variants, combined with the Vem++ library, represent the first parallel application of these GDSW preconditioners to VEM. Numerical experiments in 2D and 3D demonstrate scalability of our preconditioners up to 1 000 parallel cores for VEM discretizations of degrees k=1,2. |
| title | Towards a parallel Schwarz solver framework for virtual elements using GDSW coarse spaces |
| topic | Numerical Analysis 65N55, 65F08, 65N30 |
| url | https://arxiv.org/abs/2511.07144 |