BDDC Preconditioning on GPUs for Cardiac Simulations
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866916445549494272 |
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| author | Goebel, Fritz Cojean, Terry Anzt, Hartwig |
| author_facet | Goebel, Fritz Cojean, Terry Anzt, Hartwig |
| contents | In order to understand cardiac arrhythmia, computer models for electrophysiology are essential. In the EuroHPC MicroCARD project, we adapt the current models and leverage modern computing resources to model diseased hearts and their microstructure accurately. Towards this objective, we develop a portable, highly efficient, and performing BDDC preconditioner and solver implementation, demonstrating scalability with over 90% efficiency on up to 100 GPUs. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_14786 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | BDDC Preconditioning on GPUs for Cardiac Simulations Goebel, Fritz Cojean, Terry Anzt, Hartwig Computational Engineering, Finance, and Science Mathematical Software In order to understand cardiac arrhythmia, computer models for electrophysiology are essential. In the EuroHPC MicroCARD project, we adapt the current models and leverage modern computing resources to model diseased hearts and their microstructure accurately. Towards this objective, we develop a portable, highly efficient, and performing BDDC preconditioner and solver implementation, demonstrating scalability with over 90% efficiency on up to 100 GPUs. |
| title | BDDC Preconditioning on GPUs for Cardiac Simulations |
| topic | Computational Engineering, Finance, and Science Mathematical Software |
| url | https://arxiv.org/abs/2410.14786 |