MFC 5.0: An exascale many-physics flow solver
Fuente:
arXiv
Gespeichert in:
| Hauptverfasser: | , , , , , , , , , , , , , , , , , , |
|---|---|
| Format: | Preprint |
| Veröffentlicht: |
2025
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866917138240897024 |
|---|---|
| author | Wilfong, Benjamin Berre, Henry A. Le Radhakrishnan, Anand Gupta, Ansh Vickers, Daniel J. Vaca-Revelo, Diego Adam, Dimitrios Yu, Haocheng Lee, Hyeoksu Chreim, Jose Rodolfo Barbosa, Mirelys Carcana Zhang, Yanjun Cisneros-Garibay, Esteban Gnanaskandan, Aswin Rodriguez Jr., Mauro Budiardja, Reuben D. Abbott, Stephen Colonius, Tim Bryngelson, Spencer H. |
| author_facet | Wilfong, Benjamin Berre, Henry A. Le Radhakrishnan, Anand Gupta, Ansh Vickers, Daniel J. Vaca-Revelo, Diego Adam, Dimitrios Yu, Haocheng Lee, Hyeoksu Chreim, Jose Rodolfo Barbosa, Mirelys Carcana Zhang, Yanjun Cisneros-Garibay, Esteban Gnanaskandan, Aswin Rodriguez Jr., Mauro Budiardja, Reuben D. Abbott, Stephen Colonius, Tim Bryngelson, Spencer H. |
| contents | Many problems of interest in engineering, medicine, and the fundamental sciences rely on high-fidelity flow simulation, making performant computational fluid dynamics solvers a mainstay of the open-source software community. Previous work, MFC 3.0, was published, documented, and made open-source by Bryngelson et al. CPC (2021) features numerous physical features, numerical methods, and scalable infrastructure. MFC 5.0 is a significant update to MFC 3.0, featuring a broad set of well-established and novel physical models and numerical methods, as well as the introduction of GPU and APU (or superchip) acceleration. We exhibit state-of-the-art performance and ideal scaling on the first two exascale supercomputers, OLCF's Frontier and LLNL's El Capitan. Combined with MFC's single-accelerator performance, MFC achieves exascale computation in practice and has achieved the largest-to-date public CFD simulation at 200 trillion grid points, earning it a 2025 ACM Gordon Bell Prize finalist. New physical features include the immersed boundary method, $N$-fluid phase change, Euler-Euler and Euler-Lagrange sub-grid bubble models, fluid-structure interaction, hypo- and hyper-elastic materials, chemically reacting flow, two-material surface tension, magnetohydrodynamics (MHD), and more. Numerical techniques now represent the current state-of-the-art, including general relaxation characteristic boundary conditions, WENO variants, Strang splitting for stiff sub-grid flow features, and low Mach number treatments. Weak scaling to tens of thousands of GPUs on OLCF's Summit and Frontier, and LLNL's El Capitan, achieves efficiencies within 5% of ideal to over 90% of their respective system sizes. Strong scaling results for a 16-fold increase in device count show parallel efficiencies exceeding 90% on OLCF Frontier. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_07953 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | MFC 5.0: An exascale many-physics flow solver Wilfong, Benjamin Berre, Henry A. Le Radhakrishnan, Anand Gupta, Ansh Vickers, Daniel J. Vaca-Revelo, Diego Adam, Dimitrios Yu, Haocheng Lee, Hyeoksu Chreim, Jose Rodolfo Barbosa, Mirelys Carcana Zhang, Yanjun Cisneros-Garibay, Esteban Gnanaskandan, Aswin Rodriguez Jr., Mauro Budiardja, Reuben D. Abbott, Stephen Colonius, Tim Bryngelson, Spencer H. Fluid Dynamics Distributed, Parallel, and Cluster Computing Many problems of interest in engineering, medicine, and the fundamental sciences rely on high-fidelity flow simulation, making performant computational fluid dynamics solvers a mainstay of the open-source software community. Previous work, MFC 3.0, was published, documented, and made open-source by Bryngelson et al. CPC (2021) features numerous physical features, numerical methods, and scalable infrastructure. MFC 5.0 is a significant update to MFC 3.0, featuring a broad set of well-established and novel physical models and numerical methods, as well as the introduction of GPU and APU (or superchip) acceleration. We exhibit state-of-the-art performance and ideal scaling on the first two exascale supercomputers, OLCF's Frontier and LLNL's El Capitan. Combined with MFC's single-accelerator performance, MFC achieves exascale computation in practice and has achieved the largest-to-date public CFD simulation at 200 trillion grid points, earning it a 2025 ACM Gordon Bell Prize finalist. New physical features include the immersed boundary method, $N$-fluid phase change, Euler-Euler and Euler-Lagrange sub-grid bubble models, fluid-structure interaction, hypo- and hyper-elastic materials, chemically reacting flow, two-material surface tension, magnetohydrodynamics (MHD), and more. Numerical techniques now represent the current state-of-the-art, including general relaxation characteristic boundary conditions, WENO variants, Strang splitting for stiff sub-grid flow features, and low Mach number treatments. Weak scaling to tens of thousands of GPUs on OLCF's Summit and Frontier, and LLNL's El Capitan, achieves efficiencies within 5% of ideal to over 90% of their respective system sizes. Strong scaling results for a 16-fold increase in device count show parallel efficiencies exceeding 90% on OLCF Frontier. |
| title | MFC 5.0: An exascale many-physics flow solver |
| topic | Fluid Dynamics Distributed, Parallel, and Cluster Computing |
| url | https://arxiv.org/abs/2503.07953 |