Exascale models of stellar explosions: Quintessential multi-physics simulation

J. Austin Harris; Ran Chu; Sean M. Couch; Anshu Dubey; Eirik Endeve; Antigoni Georgiadou; Rajeev Jain; Daniel Kasen; M. P. Laiu; O. E.B. Messer; Jared O’Neal; Michael A. Sandoval; Klaus Weide

doi:10.1177/10943420211027937

Exascale models of stellar explosions: Quintessential multi-physics simulation

J. Austin Harris, Ran Chu, Sean M. Couch, Anshu Dubey, Eirik Endeve, Antigoni Georgiadou, Rajeev Jain, Daniel Kasen, M. P. Laiu, O. E.B. Messer, Jared O’Neal, Michael A. Sandoval, Klaus Weide

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

The ExaStar project aims to deliver an efficient, versatile, and portable software ecosystem for multi-physics astrophysics simulations run on exascale machines. The code suite is a component-based multi-physics toolkit, built on the capabilities of current simulation codes (in particular Flash-X and Castro), and based on the massively parallel adaptive mesh refinement framework AMReX. It includes modules for hydrodynamics, advanced radiation transport, thermonuclear kinetics, and nuclear microphysics. The code will reach exascale efficiency by building upon current multi- and many-core packages integrated into an orchestration system that uses a combination of configuration tools, code translators, and a domain-specific asynchronous runtime to manage performance across a range of platform architectures. The target science includes multi-physics simulations of astrophysical explosions (such as supernovae and neutron star mergers) to understand the cosmic origin of the elements and the fundamental physics of matter and neutrinos under extreme conditions.

Original language	English
Pages (from-to)	59-77
Number of pages	19
Journal	International Journal of High Performance Computing Applications
Volume	36
Issue number	1
DOIs	https://doi.org/10.1177/10943420211027937
State	Published - Jan 2022

Funding

This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the US Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe-public-access-plan ).FLASH was developed, in part, by the DOE NNSA ASC- and DOE Office of Science ASCR-supported Flash Center for Computational Science at the University of Chicago. Funding for Flash-X and ExaStar was supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy Office of Science and the National Nuclear Security Administration. This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the US Department of Energy under Contract No. DE-AC05-00OR22725. This manuscript has been authored by UT-Battelle, LLC under Contract No. DE-AC05-00OR22725 with the US Department of Energy. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan).FLASH was developed, in part, by the DOE NNSA ASC- and DOE Office of Science ASCR-supported Flash Center for Computational Science at the University of Chicago. Funding for Flash-X and ExaStar was supported by the Exascale Computing Project (17-SC-20-SC), a collaborative effort of the U.S. Department of Energy Office of Science and the National Nuclear Security Administration. This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the US Department of Energy under Contract No. DE-AC05-00OR22725.

Funders	Funder number
DOE Public Access Plan
United States Government
U.S. Department of Energy
Office of Science
National Nuclear Security Administration
University of Chicago	17-SC-20-SC

Keywords

Astrophysics
adaptive mesh refinement
computational software
multi-physics
scientific application

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10.1177/10943420211027937

Cite this

Harris, J. A., Chu, R., Couch, S. M., Dubey, A., Endeve, E., Georgiadou, A., Jain, R., Kasen, D., Laiu, M. P., Messer, O. E. B., O’Neal, J., Sandoval, M. A., & Weide, K. (2022). Exascale models of stellar explosions: Quintessential multi-physics simulation. International Journal of High Performance Computing Applications, 36(1), 59-77. https://doi.org/10.1177/10943420211027937

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abstract = "The ExaStar project aims to deliver an efficient, versatile, and portable software ecosystem for multi-physics astrophysics simulations run on exascale machines. The code suite is a component-based multi-physics toolkit, built on the capabilities of current simulation codes (in particular Flash-X and Castro), and based on the massively parallel adaptive mesh refinement framework AMReX. It includes modules for hydrodynamics, advanced radiation transport, thermonuclear kinetics, and nuclear microphysics. The code will reach exascale efficiency by building upon current multi- and many-core packages integrated into an orchestration system that uses a combination of configuration tools, code translators, and a domain-specific asynchronous runtime to manage performance across a range of platform architectures. The target science includes multi-physics simulations of astrophysical explosions (such as supernovae and neutron star mergers) to understand the cosmic origin of the elements and the fundamental physics of matter and neutrinos under extreme conditions.",

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Exascale models of stellar explosions: Quintessential multi-physics simulation

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