Parallel, grid-adaptive approaches for relativistic hydro and magnetohydrodynamics
Autor: | Rony Keppens, Zakaria Meliani, B. van der Holst, Peter Delmont, A. J. van Marle, Alkis Vlasis |
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Rok vydání: | 2012 |
Předmět: |
Physics
Numerical Analysis Physics and Astronomy (miscellaneous) Applied Mathematics Estimator Grid Data structure Computer Science Applications Computational science Computational Mathematics Modeling and Simulation Test suite Magnetohydrodynamics Scaling Massively parallel Simulation Curse of dimensionality |
Zdroj: | Journal of Computational Physics, 231, 718-744 |
ISSN: | 0021-9991 |
DOI: | 10.1016/j.jcp.2011.01.020 |
Popis: | Relativistic hydro and magnetohydrodynamics provide continuum fluid descriptions for gas and plasma dynamics throughout the visible universe. We present an overview of state-of-the-art modeling in special relativistic regimes, targeting strong shock-dominated flows with speeds approaching the speed of light. Significant progress in its numerical modeling emerged in the last two decades, and we highlight specifically the need for grid-adaptive, shock-capturing treatments found in several contemporary codes in active use and development. Our discussion highlights one such code, MPI-AMRVAC (Message-Passing Interface-Adaptive Mesh Refinement Versatile Advection Code), but includes generic strategies for allowing massively parallel, block-tree adaptive simulations in any dimensionality. We provide implementation details reflecting the underlying data structures as used in MPI-AMRVAC. Parallelization strategies and scaling efficiencies are discussed for representative applications, along with guidelines for data formats suitable for parallel I/O. Refinement strategies available in MPI-AMRVAC are presented, which cover error estimators in use in many modern AMR frameworks. A test suite for relativistic hydro and magnetohydrodynamics is provided, chosen to cover all aspects encountered in high-resolution, shock-governed astrophysical applications. This test suite provides ample examples highlighting the advantages of AMR in relativistic flow problems. (C) 2011 Elsevier Inc. All rights reserved. |
Databáze: | OpenAIRE |
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