Simulating 3-D Stellar Hydrodynamics using PPM and PPB Multifluid Gas Dynamics on CPU and CPU+GPU Nodes

Paul R Woodward, Pei Hung Lin, Huaqing Mao, Robert Andrassy, Falk Herwig

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

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 languageEnglish (US)
Article number012020
JournalJournal of Physics: Conference Series
Volume1225
Issue number1
DOIs
StatePublished - Jun 5 2019
Event13th International Conference on Numerical Modeling of Space Plasma Flows, ASTRONUM 2018 - Panama City Beach, United States
Duration: Jun 25 2018Jun 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.

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