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arXiv · 2607.19277

Astrophysics on GPUs: introducing AGILE 1.0

Oliver Porth·Adrian Kelly·Olaf Willocx·Hao Wu·Jesse Vos·Yuhao Zhou·Héctor R. Olivares Sánchez·Leon Oostrum·Johan Hidding·Victor Azizi·Chun Xia·Rony Keppens·Jannis Teunissen
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Abstract

We present AGILE, a GPU-enabled adaptive mesh refinement (AMR) framework for the solution of (near-) conservation laws which occur in astro- and solar-physical applications. AGILE is written in modern fortran 2003, inherits a part of its modules and mesh handling from MPI-AMRVAC, and achieves excellent GPU performance via OpenACC offloading. We here discuss the design decisions which enable AGILE to perform cost-efficient and scalable deeply nested AMR simulations with moderate block sizes of e.g. $16^3$ cells. AGILE currently implements several physics modules, ie. hydrodynamics, frozen-field hydrodynamics, magnetohydrodynamics and special-relativistic hydrodynamics and can easily be extended further through its modular design. Besides strong scaling tests to up to 2048 GPUs and standard benchmarks which show consistent performance across a large range of devices and problem sizes, we demonstrate AGILE's capabilities by means of state-of-the art science applications with all currently available physics modules.

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Oliver Porth, Adrian Kelly, Olaf Willocx, Hao Wu, Jesse Vos, Yuhao Zhou, Héctor R. Olivares Sánchez, Leon Oostrum, Johan Hidding, Victor Azizi, Chun Xia, Rony Keppens, Jannis Teunissen. 2026-07-21. Astrophysics on GPUs: introducing AGILE 1.0. https://arxiv.org/abs/2607.19277

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