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| Main Authors: | , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.07612 |
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| _version_ | 1866909026006073344 |
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| author | Teunissen, Jannis Sánchez, Héctor R. Olivares Vos, Jesse Oostrum, Leon Hidding, Johan Azizi, Victor Zhou, Yuhao Wu, Hao Kelly, Adrian Willocx, Olaf Xia, Chun Keppens, Rony Porth, Oliver |
| author_facet | Teunissen, Jannis Sánchez, Héctor R. Olivares Vos, Jesse Oostrum, Leon Hidding, Johan Azizi, Victor Zhou, Yuhao Wu, Hao Kelly, Adrian Willocx, Olaf Xia, Chun Keppens, Rony Porth, Oliver |
| contents | GPUs and other accelerators are increasingly used for scientific computing. In the future, we want to add GPU support to parallel adaptive mesh refinement (AMR) codes written in Fortran. To understand which changes are necessary to obtain good performance we have developed foap4, an AMR framework implemented in Fortran that uses OpenACC, MPI, and the p4est library. We discuss the design and implementation of the framework. Several benchmark problems are considered, in which Euler's equations of gas dynamics are solved using explicit time integration. These benchmarks are performed in both 2D and 3D, using static and adaptive meshes, for varying problem sizes on different hardware. Our results show that AMR simulations can be carried out efficiently on GPUs with OpenACC and MPI, even when using relatively small grid blocks of $8^3$ or $16^3$ cells. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_07612 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | foap4: Adaptive mesh refinement with OpenACC, MPI, and p4est Teunissen, Jannis Sánchez, Héctor R. Olivares Vos, Jesse Oostrum, Leon Hidding, Johan Azizi, Victor Zhou, Yuhao Wu, Hao Kelly, Adrian Willocx, Olaf Xia, Chun Keppens, Rony Porth, Oliver Computational Physics GPUs and other accelerators are increasingly used for scientific computing. In the future, we want to add GPU support to parallel adaptive mesh refinement (AMR) codes written in Fortran. To understand which changes are necessary to obtain good performance we have developed foap4, an AMR framework implemented in Fortran that uses OpenACC, MPI, and the p4est library. We discuss the design and implementation of the framework. Several benchmark problems are considered, in which Euler's equations of gas dynamics are solved using explicit time integration. These benchmarks are performed in both 2D and 3D, using static and adaptive meshes, for varying problem sizes on different hardware. Our results show that AMR simulations can be carried out efficiently on GPUs with OpenACC and MPI, even when using relatively small grid blocks of $8^3$ or $16^3$ cells. |
| title | foap4: Adaptive mesh refinement with OpenACC, MPI, and p4est |
| topic | Computational Physics |
| url | https://arxiv.org/abs/2605.07612 |