Parallel finite volume simulation of the spherical shell dynamo with pseudo-vacuum magnetic boundary conditions
Liang Yin, Chao Yang, Shi-Zhuang Ma, Ying Cai, Keke Zhang

TL;DR
This paper presents a scalable parallel finite volume method for simulating the spherical shell dynamo with pseudo-vacuum magnetic boundary conditions, demonstrating high efficiency and scalability on supercomputers.
Contribution
It introduces a novel parallel finite volume scheme with a multi-level preconditioner for efficient large-scale MHD dynamo simulations in spherical shells.
Findings
Achieved accurate solutions comparable to existing methods.
Demonstrated good scalability on supercomputers with up to 10368 cores.
Improved computational efficiency with a multi-level preconditioner.
Abstract
In this paper, we study the parallel simulation of the magnetohydrodynamic (MHD) dynamo in a rapidly rotating spherical shell with pseudo-vacuum magnetic boundary conditions. A second-order finite volume scheme based on a collocated quasi-uniform cubed-sphere grid is applied to the spatial discretization of the MHD dynamo equations. To ensure the solenoidal condition of the magnetic field, we adopt a widely-used approach whereby a pseudo-pressure is introduced into the induction equation. The temporal integration is split by a second-order approximate factorization approach, resulting in two linear algebraic systems both solved by a preconditioned Krylov subspace iterative method. A multi-level restricted additive Schwarz preconditioner based on domain decomposition and multigrid method is then designed to improve the efficiency and scalability. Accurate numerical solutions of two…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGeomagnetism and Paleomagnetism Studies · Advanced Numerical Methods in Computational Mathematics · Electromagnetic Scattering and Analysis
