Towards scalable parallel-in-time turbulent flow simulations
We present a reformulation of unsteady turbulent flow simulations. The initial condition is relaxed and information is allowed to propagate both forward and backward in time. Simulations of chaotic dynamical systems with this reformulation can be proven to be well-conditioned time domain boundary va...
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American Institute of Physics (AIP)
2015
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Online Access: | http://hdl.handle.net/1721.1/97148 https://orcid.org/0000-0001-5552-6235 https://orcid.org/0000-0001-6713-3746 https://orcid.org/0000-0001-9669-2563 |
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author | Wang, Qiqi Gomez, Steven A. Gregory, Alastair L. Qian, Elizabeth Y. Blonigan, Patrick Joseph |
author2 | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics |
author_facet | Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Wang, Qiqi Gomez, Steven A. Gregory, Alastair L. Qian, Elizabeth Y. Blonigan, Patrick Joseph |
author_sort | Wang, Qiqi |
collection | MIT |
description | We present a reformulation of unsteady turbulent flow simulations. The initial condition is relaxed and information is allowed to propagate both forward and backward in time. Simulations of chaotic dynamical systems with this reformulation can be proven to be well-conditioned time domain boundary value problems. The reformulation can enable scalable parallel-in-time simulation of turbulent flows. |
first_indexed | 2024-09-23T10:14:49Z |
format | Article |
id | mit-1721.1/97148 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T10:14:49Z |
publishDate | 2015 |
publisher | American Institute of Physics (AIP) |
record_format | dspace |
spelling | mit-1721.1/971482022-09-30T19:51:59Z Towards scalable parallel-in-time turbulent flow simulations Wang, Qiqi Gomez, Steven A. Gregory, Alastair L. Qian, Elizabeth Y. Blonigan, Patrick Joseph Massachusetts Institute of Technology. Department of Aeronautics and Astronautics Wang, Qiqi Gomez, Steven A. Blonigan, Patrick Joseph Gregory, Alastair L. Qian, Elizabeth Y. We present a reformulation of unsteady turbulent flow simulations. The initial condition is relaxed and information is allowed to propagate both forward and backward in time. Simulations of chaotic dynamical systems with this reformulation can be proven to be well-conditioned time domain boundary value problems. The reformulation can enable scalable parallel-in-time simulation of turbulent flows. United States. Air Force Office of Scientific Research. Small Business Technology Transfer Program (Contract FA9550-12-C-0065) 2015-06-02T15:11:51Z 2015-06-02T15:11:51Z 2013-09 2012-12 Article http://purl.org/eprint/type/JournalArticle 10706631 1089-7666 http://hdl.handle.net/1721.1/97148 Wang, Qiqi, Steven A. Gomez, Patrick J. Blonigan, Alastair L. Gregory, and Elizabeth Y. Qian. “Towards Scalable Parallel-in-Time Turbulent Flow Simulations.” Physics of Fluids 25, no. 11 (2013): 110818. https://orcid.org/0000-0001-5552-6235 https://orcid.org/0000-0001-6713-3746 https://orcid.org/0000-0001-9669-2563 en_US http://dx.doi.org/10.1063/1.4819390 Physics of Fluids Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf American Institute of Physics (AIP) arXiv |
spellingShingle | Wang, Qiqi Gomez, Steven A. Gregory, Alastair L. Qian, Elizabeth Y. Blonigan, Patrick Joseph Towards scalable parallel-in-time turbulent flow simulations |
title | Towards scalable parallel-in-time turbulent flow simulations |
title_full | Towards scalable parallel-in-time turbulent flow simulations |
title_fullStr | Towards scalable parallel-in-time turbulent flow simulations |
title_full_unstemmed | Towards scalable parallel-in-time turbulent flow simulations |
title_short | Towards scalable parallel-in-time turbulent flow simulations |
title_sort | towards scalable parallel in time turbulent flow simulations |
url | http://hdl.handle.net/1721.1/97148 https://orcid.org/0000-0001-5552-6235 https://orcid.org/0000-0001-6713-3746 https://orcid.org/0000-0001-9669-2563 |
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