Abstract
The special computational challenges of simulating 3-D hydrodynamics in deep stellar interiors are discussed, and numerical algorithmic responses described. Results of recent simulations carried out at scale on the NSF's Blue Waters machine at the University of Illinois are presented, with a special focus on the computational challenges they address. Prospects for future work using GPU-accelerated nodes such as those on the DoE's new Summit machine at Oak Ridge National Laboratory are described, with a focus on numerical algorithmic accommodations that we believe will be necessary.
| Original language | English (US) |
|---|---|
| Article number | 012020 |
| Journal | Journal of Physics: Conference Series |
| Volume | 1225 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jun 5 2019 |
| Event | 13th International Conference on Numerical Modeling of Space Plasma Flows, ASTRONUM 2018 - Panama City Beach, United States Duration: Jun 25 2018 → Jun 29 2018 |
Bibliographical note
Funding Information:Simulations and code development discussed in this article were performed on the Blue Waters machine at NCSA under support from NSF PRAC awards 1440025, 1515792, and 1713200, as well as a subcontract from the Blue Waters project at NCSA. Partial support for the code development also came from contracts from the Los Alamos and Sandia National Laboratories. The scientific research described here was supported by the NSF through CDS&E grants AST-1413548 and AST-1814181 and through subcontracts from NSF's JINA-CEE center (PHY-1430152). Simulations were also carried out on Canada's Westgrid resources and research supported by an NSERC Discovery grant.
Funding Information:
Simulations and code development discussed in this article were performed on the Blue Waters machine at NCSA under support from NSF PRAC awards 1440025, 1515792, and 1713200, as well as a subcontract from the Blue Waters project at NCSA. Partial support for the code development also came from contracts from the Los Alamos and Sandia National Laboratories. The scientific research described here was supported by the NSF through CDS&E grants AST-1413548 and AST-1814181 and through subcontracts from NSF’s JINA-CEE center (PHY-1430152). Simulations were also carried out on Canada’s Westgrid resources and research supported by an NSERC Discovery grant.
Publisher Copyright:
© 2019 Published under licence by IOP Publishing Ltd.