Meeting the Challenges of Modeling Astrophysical Thermonuclear Explosions: Castro, Maestro, and the AMReX Astrophysics Suite
M. ZingaleDepartment of Physics and Astronomy, Stony Brook University, Stony Brook, NY 11794-3800 USAA. S. AlmgrenCenter for Computational Sciences and Engineering, Lawrence Berkeley National Lab, Berkeley, CA 94720 USAM. G. Barrios SazoDepartment of Physics and Astronomy, Stony Brook University, Stony Brook, NY 11794-3800 USAV. E. BecknerCenter for Computational Sciences and Engineering, Lawrence Berkeley National Lab, Berkeley, CA 94720 USAJ. B. BellCenter for Computational Sciences and Engineering, Lawrence Berkeley National Lab, Berkeley, CA 94720 USAB. FriesenCenter for Computational Sciences and Engineering, Lawrence Berkeley National Lab, Berkeley, CA 94720 USAA. M. JacobsDepartment of Physics and Astronomy, Michigan State University, East Lansing, Michigan 48824 USAM. P. KatzNVIDIA Corporation, 2788 San Tomas Expressway, Santa Clara, CA, 95050 USAC. M. MaloneLos Alamos National Laboratory, Los Alamos, NM, 87545 USAA. J. NonakaCenter for Computational Sciences and Engineering, Lawrence Berkeley National Lab, Berkeley, CA 94720 USAD. E. WillcoxDepartment of Physics and Astronomy, Stony Brook University, Stony Brook, NY 11794-3800 USAW. ZhangCenter for Computational Sciences and Engineering, Lawrence Berkeley National Lab, Berkeley, CA 94720 USA
2018en
ABI
Аннотация
We describe the AMReX suite of astrophysics codes and their application to modeling problems in stellar astrophysics. Maestro is tuned to efficiently model subsonic convective flows while Castro models the highly compressible flows associated with stellar explosions. Both are built on the block-structured adaptive mesh refinement library AMReX. Together, these codes enable a thorough investigation of stellar phenomena, including Type Ia supernovae and X-ray bursts. We describe these science applications and the approach we are taking to make these codes performant on current and future many-core and GPU-based architectures.
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