2019
DOI: 10.1080/03091929.2019.1643849
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Driving solar coronal MHD simulations on high-performance computers

Abstract: The quality of today's research is often tightly limited to the available computing power and scalability of codes to many processors. For example, tackling the problem of heating the solar corona requires a most realistic description of the plasma dynamics and the magnetic field. Numerically solving such a magneto-hydrodynamical (MHD) description of a small active region (AR) on the Sun requires millions of computation hours on current high-performance computing (HPC) hardware. The aim of this work is to desc… Show more

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Cited by 8 publications
(4 citation statements)
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References 32 publications
(37 reference statements)
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“…We use the Pencil Code [44] to perform all simulations, with parallelized fast-Fourier-transforms to calculate the spectra on the fly [45]. Pencil Code is freely available under https://github.com/pencil-code/.…”
Section: Data Availabilitymentioning
confidence: 99%
“…We use the Pencil Code [44] to perform all simulations, with parallelized fast-Fourier-transforms to calculate the spectra on the fly [45]. Pencil Code is freely available under https://github.com/pencil-code/.…”
Section: Data Availabilitymentioning
confidence: 99%
“…A special driver module is developed to load the bottom boundary magnetic field observations and then feed the simulation as the time progresses in steps of integration time. We use a modification of the implementation by (Bingert & Peter 2011;Bourdin 2020;Warnecke & Bingert 2020). The time step δt is normally specified as Courant time step through the coefficients c δ t(= 0.9), c δt,v (= 0.25) as given by…”
Section: Pencil Code Implementationmentioning
confidence: 99%
“…• Thermal instability and mixing (C.-C. Yang & Krumholz, 2012), • Implicit solver for temperature (Gastine & Dintrans, 2008), • Dust-gas dynamics with mutual drag interaction (C.-C. Yang & Johansen, 2016;), • Boundary conditions for the solar atmosphere and HDF5 format (Philippe-A. Bourdin, 2020).…”
Section: High-level Functionalitymentioning
confidence: 99%