Supersonic turbulence simulations with GPU-based high-order Discontinuous Galerkin hydrodynamics
Miha Cernetic, Volker Springel, Thomas Guillet, R\"udiger Pakmor

TL;DR
This paper evaluates the performance of high-order Discontinuous Galerkin hydrodynamics simulations on supersonic turbulence using GPU acceleration, highlighting strengths and limitations in shock-dominated regimes.
Contribution
It demonstrates the applicability of GPU-accelerated high-order DG methods to supersonic turbulence, introducing shock regularization techniques and analyzing their effectiveness across Mach regimes.
Findings
DG performs well at moderate Mach numbers with shock regularization.
Accuracy diminishes in highly supersonic regimes due to shocks.
DG schemes have lower numerical dissipation advantageous in subsonic turbulence.
Abstract
We investigate the numerical performance of a Discontinuous Galerkin (DG) hydrodynamics implementation when applied to the problem of driven, isothermal supersonic turbulence. While the high-order element-based spectral approach of DG is known to efficiently produce accurate results for smooth problems (exponential convergence with expansion order), physical discontinuities in solutions, like shocks, prove challenging and may significantly diminish DG's applicability to practical astrophysical applications. We consider whether DG is able to retain its accuracy and stability for highly supersonic turbulence, characterized by a network of shocks. We find that our new implementation, which regularizes shocks at sub-cell resolution with artificial viscosity, still performs well compared to standard second-order schemes for moderately high Mach number turbulence, provided we also employ an…
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Taxonomy
TopicsComputational Fluid Dynamics and Aerodynamics · Gas Dynamics and Kinetic Theory · Fluid Dynamics and Turbulent Flows
