@inproceedings{9b340241adb04b13b9c3d2c691c24873,
title = "Preparing nuclear astrophysics for exascale",
abstract = "Astrophysical explosions such as supernovae are fascinating events that require sophisticated algorithms and substantial computational power to model. Castro and MAESTROeX are nuclear astrophysics codes that simulate thermonuclear fusion in the context of supernovae and X-ray bursts. Examining these nuclear burning processes using high resolution simulations is critical for understanding how these astrophysical explosions occur. In this paper we describe the changes that have been made to these codes to transform them from standard MPI + OpenMP codes targeted at petascale CPU-based systems into a form compatible with the pre-exascale systems now online and the exascale systems coming soon. We then discuss what new science is possible to run on systems such as Summit and Perlmutter that could not have been achieved on the previous generation of supercomputers.",
keywords = "adaptive mesh refinement, astrophysics, computational fluid dynamics, gravity, hydrodynamics, nuclear reactions",
author = "Katz, \{Max P.\} and Ann Almgren and Sazo, \{Maria Barrios\} and Kiran Eiden and Kevin Gott and Alice Harpole and Sexton, \{Jean M.\} and Willcox, \{Don E.\} and Weiqun Zhang and Michael Zingale",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Conference for High Performance Computing, Networking, Storage and Analysis, SC 2020 ; Conference date: 09-11-2020 Through 19-11-2020",
year = "2020",
month = nov,
doi = "10.1109/SC41405.2020.00095",
language = "English",
series = "International Conference for High Performance Computing, Networking, Storage and Analysis, SC",
publisher = "IEEE Computer Society",
booktitle = "Proceedings of SC 2020",
}