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2016 | OriginalPaper | Buchkapitel

Simulating Turbulence Using the Astrophysical Discontinuous Galerkin Code TENET

verfasst von : Andreas Bauer, Kevin Schaal, Volker Springel, Praveen Chandrashekar, Rüdiger Pakmor, Christian Klingenberg

Erschienen in: Software for Exascale Computing - SPPEXA 2013-2015

Verlag: Springer International Publishing

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Abstract

In astrophysics, the two main methods traditionally in use for solving the Euler equations of ideal fluid dynamics are smoothed particle hydrodynamics and finite volume discretization on a stationary mesh. However, the goal to efficiently make use of future exascale machines with their ever higher degree of parallel concurrency motivates the search for more efficient and more accurate techniques for computing hydrodynamics. Discontinuous Galerkin (DG) methods represent a promising class of methods in this regard, as they can be straightforwardly extended to arbitrarily high order while requiring only small stencils. Especially for applications involving comparatively smooth problems, higher-order approaches promise significant gains in computational speed for reaching a desired target accuracy. Here, we introduce our new astrophysical DG code TENET designed for applications in cosmology, and discuss our first results for 3D simulations of subsonic turbulence. We show that our new DG implementation provides accurate results for subsonic turbulence, at considerably reduced computational cost compared with traditional finite volume methods. In particular, we find that DG needs about 1.8 times fewer degrees of freedom to achieve the same accuracy and at the same time is more than 1.5 times faster, confirming its substantial promise for astrophysical applications.

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Fußnoten
1
We are using the convention of normalizing the Fourier transform symmetrically with (2π)−3∕2.
 
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Metadaten
Titel
Simulating Turbulence Using the Astrophysical Discontinuous Galerkin Code TENET
verfasst von
Andreas Bauer
Kevin Schaal
Volker Springel
Praveen Chandrashekar
Rüdiger Pakmor
Christian Klingenberg
Copyright-Jahr
2016
DOI
https://doi.org/10.1007/978-3-319-40528-5_17

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