The Athena plus plus Adaptive Mesh Refinement Framework: Design and Magnetohydrodynamic Solvers

被引:426
作者
Stone, James M. [1 ,2 ,5 ]
Tomida, Kengo [3 ,6 ]
White, Christopher J. [4 ]
Felker, Kyle G. [2 ,7 ]
机构
[1] Princeton Univ, Dept Astrophys Sci, Princeton, NJ 08544 USA
[2] Princeton Univ, Program Appl & Computat Math, Princeton, NJ 08544 USA
[3] Osaka Univ, Dept Earth & Space Sci, Toyonaka, Osaka 5600043, Japan
[4] Univ Calif Santa Barbara, Kavli Inst Theoret Phys, Santa Barbara, CA 93107 USA
[5] Inst Adv Study, Sch Nat Sci, Princeton, NJ 08544 USA
[6] Tohoku Univ, Astron Inst, Sendai, Miyagi 9808578, Japan
[7] Argonne Natl Lab, Lemont, IL 60439 USA
基金
美国国家科学基金会; 日本学术振兴会;
关键词
Astronomy software; Magnetohydrodynamics; UNSPLIT GODUNOV METHOD; 2 SPACE DIMENSIONS; PIECEWISE-PARABOLIC METHOD; HIGH-RESOLUTION CODE; HLLC RIEMANN SOLVER; ASTROPHYSICAL FLOWS; IDEAL MHD; RELATIVISTIC MAGNETOHYDRODYNAMICS; HYDRODYNAMIC ALGORITHMS; NUMERICAL-SIMULATION;
D O I
10.3847/1538-4365/ab929b
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
The design and implementation of a new framework for adaptive mesh refinement calculations are described. It is intended primarily for applications in astrophysical fluid dynamics, but its flexible and modular design enables its use for a wide variety of physics. The framework works with both uniform and nonuniform grids in Cartesian and curvilinear coordinate systems. It adopts a dynamic execution model based on a simple design called a "task list" that improves parallel performance by overlapping communication and computation, simplifies the inclusion of a diverse range of physics, and even enables multiphysics models involving different physics in different regions of the calculation. We describe physics modules implemented in this framework for both nonrelativistic and relativistic magnetohydrodynamics (MHD). These modules adopt mature and robust algorithms originally developed for the Athena MHD code and incorporate new extensions: support for curvilinear coordinates, higher-order time integrators, more realistic physics such as a general equation of state, and diffusion terms that can be integrated with super-time-stepping algorithms. The modules show excellent performance and scaling, with well over 80% parallel efficiency on over half a million threads. The source code has been made publicly available.
引用
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页数:40
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