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Magnetising the quokka code with fast, second-order accurate, error-correcting schemes for magnetohydrodynamics on GPUs — arXiv:2609.10816

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.10816
License (as archived): CC0-1.0
Archived: 2026-10-16T07:00:41.123Z
SHA-256 of the archived text: 129d82260cb0b895e3190068169b3c8edf74005bf5c2fff49df75b4aece1a33b
Stable URL of this page: https://metraipolis.com/documento/dc_06be2cebbe65

How to cite

Magnetising the quokka code with fast, second-order accurate, error-correcting schemes for magnetohydrodynamics on GPUs — arXiv:2609.10816 — arXiv (en), https://arxiv.org/abs/2609.10816 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_06be2cebbe65 (Metraipolis archive dc_06be2cebbe65, sha256 129d82260cb0b895e3190068169b3c8edf74005bf5c2fff49df75b4aece1a33b)

BibTeX

@misc{dc06be2cebbe65,
  title = {Magnetising the quokka code with fast, second-order accurate, error-correcting schemes for magnetohydrodynamics on GPUs — arXiv:2609.10816},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.10816},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_06be2cebbe65; sha256 129d82260cb0b895e3190068169b3c8edf74005bf5c2fff49df75b4aece1a33b},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.10816. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

We implement a second-order accurate constrained transport (CT) magnetohydrodynamics (MHD) module with first-order flux correction in the open-source, adaptive mesh refinement (AMR), GPU-accelerated code quokka, supporting both ideal and resistive (constant Ohmic) regimes. For computing and averaging the electromotive forces (EMFs) at cell edges, the basis of any CT-MHD method, we experiment with a wide range of recent, state-of-the-art schemes, together with different reconstruction schemes. Alongside these, we develop a new EMF compute scheme that requires fewer reconstruction steps than existing approaches. We evaluate these scheme combinations on the basis of accuracy, stability, and GPU throughput, and demonstrate that our new scheme achieves accuracy comparable to the best-in-class existing methods, together with greater stability in reconnection-dominated flows and roughly 25--60% higher GPU throughput. Using this scheme, quokka achieves excellent results across a wide range of MHD flow regimes, reaching >50 million cell updates per GPU per second, with >70% parallel efficiency out to >500 GPUs. Finally, we confirm that our CT implementation preserves divergence-free magnetic fields (to machine precision) under AMR.

Tema degli esploratori: fisica e astronomia (retro-catalogo arXiv: annunci del 2026-09-11 in astro-ph.IM).
Categorie arXiv: Instrumentation and Methods for Astrophysics (astro-ph.IM).
Pagina del lavoro: https://arxiv.org/abs/2609.10816 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-16T06:39:55.813Z dalla pagina https://arxiv.org/catchup/astro-ph.IM/2026-09-11?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).