A simple GPU implementation of spectral-element methods for solving 3D Poisson type equations on rectangular domains and its applications
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arXiv
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| Format: | Preprint |
| Publié: |
2023
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| _version_ | 1866913387153195008 |
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| author | Liu, Xinyu Shen, Jie Zhang, Xiangxiong |
| author_facet | Liu, Xinyu Shen, Jie Zhang, Xiangxiong |
| contents | It is well known since 1960s that by exploring the tensor product structure of the discrete Laplacian on Cartesian meshes, one can develop a simple direct Poisson solver with an $\mathcal O(N^{\frac{d+1}d})$ complexity in d-dimension, where N is the number of the total unknowns. The GPU acceleration of numerically solving PDEs has been explored successfully around fifteen years ago and become more and more popular in the past decade, driven by significant advancement in both hardware and software technologies, especially in the recent few years. We present in this paper a simple but extremely fast MATLAB implementation on a modern GPU, which can be easily reproduced, for solving 3D Poisson type equations using a spectral-element method. In particular, it costs less than one second on a Nvidia A100 for solving a Poisson equation with one billion degree of freedoms. We also present applications of this fast solver to solve a linear (time-independent) Schrödinger equation and a nonlinear (time-dependent) Cahn-Hilliard equation. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2310_00226 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | A simple GPU implementation of spectral-element methods for solving 3D Poisson type equations on rectangular domains and its applications Liu, Xinyu Shen, Jie Zhang, Xiangxiong Numerical Analysis Distributed, Parallel, and Cluster Computing It is well known since 1960s that by exploring the tensor product structure of the discrete Laplacian on Cartesian meshes, one can develop a simple direct Poisson solver with an $\mathcal O(N^{\frac{d+1}d})$ complexity in d-dimension, where N is the number of the total unknowns. The GPU acceleration of numerically solving PDEs has been explored successfully around fifteen years ago and become more and more popular in the past decade, driven by significant advancement in both hardware and software technologies, especially in the recent few years. We present in this paper a simple but extremely fast MATLAB implementation on a modern GPU, which can be easily reproduced, for solving 3D Poisson type equations using a spectral-element method. In particular, it costs less than one second on a Nvidia A100 for solving a Poisson equation with one billion degree of freedoms. We also present applications of this fast solver to solve a linear (time-independent) Schrödinger equation and a nonlinear (time-dependent) Cahn-Hilliard equation. |
| title | A simple GPU implementation of spectral-element methods for solving 3D Poisson type equations on rectangular domains and its applications |
| topic | Numerical Analysis Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2310.00226 |