Bulletin of the American Physical Society
APS April Meeting 2019
Volume 64, Number 3
Saturday–Tuesday, April 13–16, 2019; Denver, Colorado
Session H05: Building the Bridge to Exascale Computing: Applications and Opportunities for Nuclear Physics
10:45 AM–12:33 PM,
Sunday, April 14, 2019
Sheraton
Room: Governor's Square 14
Sponsoring
Units:
DNP DCOMP
Chair: Dean Lee, FRIB and Michigan State University
Abstract: H05.00001 : Nuclear Astrophysics approaching the Exascale: Multi-physics simulations of stellar explosions and their nucleosynthesis*
10:45 AM–11:21 AM
View Presentation
Abstract
Presenter:
Bronson Messer
(Oak Ridge National Laboratory)
Author:
Bronson Messer
(Oak Ridge National Laboratory)
Multi-physics simulations of stellar explosions (such as supernovae and neutron star mergers) are one of the most important avenues available to address fundamental questions in nuclear astrophysics, such as the cosmic origin of the elements, the behavior of matter and neutrinos at extreme densities, the structure and evolution of compact objects, and the sources of gravitational waves.
ExaStar is an application development project within DOE's Exascale Computing Project (ECP). ExaStar is working to deliver an efficient, versatile, and portable code suite for multi-physics astrophysics simulations run on exascale machines. The project builds on the capabilities of current simulation codes (including FLASH and Castro), is based on the adaptive mesh refinement framework AMReX, and will include modules for hydrodynamics, spectral radiation (neutrino) transport, nuclear reactions, and microphysics. This presentation will outline recent progress towards understanding some of the aforementioned nuclear astrophysics questions that has been enabled by ExaStar development, as well as providing a description of what we hope to learn at the exascale.
*This work was supported by U.S. Department of Energy (DOE) Offices of Nuclear Physics and Advanced Scientific Computing Research, including the Exascale Computing Project. The work was also supported by the National Science Foundation (NSF) Nuclear Theory Program. The research used resources of the Oak Ridge Leadership Computing Facility, supported under Contract DE-AC05-00OR22725, and the National Energy Research Scientific Computing Center, supported by the U.S. DOE Office of Science under Contract No. DE-AC02-05CH11231.
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