Exascale models of stellar explosions: Quintessential multi-physics simulation
[1];
[4];
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA
- Department of Physics and Astronomy, University of Tennessee, Knoxville, TN, USA
- Department of Physics and Astronomy, Michigan State University, East Lansing, MI, USA, Department of Computational Mathematics, Science, and Engineering, Michigan State University, East Lansing, MI, USA, National Superconducting Cyclotron Laboratory, Michigan State University, East Lansing, MI, USA, Joint Institute for Nuclear Astrophysics–Center for the Evolution of the Elements, Michigan State University, East Lansing, MI, USA
- Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL, USA, Department of Computer Science, University of Chicago, Chicago, IL, USA
- Department of Physics and Astronomy, University of Tennessee, Knoxville, TN, USA, Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
- Mathematics and Computer Science Division, Argonne National Laboratory, Lemont, IL, USA
- Department of Physics, University of California, Berkeley, CA, USA, Department of Astronomy and Theoretical Astrophysics Center, University of California, Berkeley, , CA, USA, Nuclear Science Division, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
- Computer Science and Mathematics Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
- National Center for Computational Sciences, Oak Ridge National Laboratory, Oak Ridge, TN, USA, Department of Physics and Astronomy, University of Tennessee, Knoxville, TN, USA, Physics Division, Oak Ridge National Laboratory, Oak Ridge, TN, USA
- Department of Computer Science, University of Chicago, Chicago, IL, USA
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.
- Research Organization:
- Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
- Sponsoring Organization:
- USDOE; USDOE National Nuclear Security Administration (NNSA); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21)
- Grant/Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1808885
- Journal Information:
- International Journal of High Performance Computing Applications, Journal Name: International Journal of High Performance Computing Applications Journal Issue: 1 Vol. 36; ISSN 1094-3420
- Publisher:
- SAGE PublicationsCopyright Statement
- Country of Publication:
- United States
- Language:
- English
Similar Records
Harnessing billions of tasks for a scalable portable hydrodynamic simulation of the merger of two stars
CodeFlow: A Code Generation System for Flash-X Orchestration Runtime