Asynchronous fine-grain parallel smoothers for computational fluid dynamics

Aditya Kashi; Syam Vangara; Sivakumaran Nadarajah

doi:10.2514/6.2018-3558

Asynchronous fine-grain parallel smoothers for computational fluid dynamics

Aditya Kashi, Syam Vangara, Sivakumaran Nadarajah

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

The availability of massively parallel hardware for scientific computation has, in principle, enabled new levels of performance for computational fluid dynamics (CFD) codes. However, for leveraging such hardware for implicit solvers, the prevailing methods are not suitable. We develop an asynchronous iteration suitable for parallel solution of systems of equations arising from pseudo-time implicit discretization of the steady compressible Euler and Navier-Stokes equations. We demonstrate the performance of the developed algorithm as a smoother in nonlinear and linear mulrigrid solvers for some Reynolds-averaged Navier-Stokes (RANS) cases in external aerodynamics.

Original language	English
Title of host publication	2018 Fluid Dynamics Conference
Publisher	American Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)	9781624105531
DOIs	https://doi.org/10.2514/6.2018-3558
State	Published - 2018
Externally published	Yes
Event	48th AIAA Fluid Dynamics Conference, 2018 - Atlanta, United States Duration: Jun 25 2018 → Jun 29 2018

Publication series

Name	2018 Fluid Dynamics Conference

Conference

Conference	48th AIAA Fluid Dynamics Conference, 2018
Country/Territory	United States
City	Atlanta
Period	06/25/18 → 06/29/18

Funding

We gratefully acknowledge funding from the Natural Sciences and Engineering Research Council (NSERC) of Canada, Bombardier Aerospace and Cray Inc.

Access to Document

10.2514/6.2018-3558

Cite this

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title = "Asynchronous fine-grain parallel smoothers for computational fluid dynamics",

abstract = "The availability of massively parallel hardware for scientific computation has, in principle, enabled new levels of performance for computational fluid dynamics (CFD) codes. However, for leveraging such hardware for implicit solvers, the prevailing methods are not suitable. We develop an asynchronous iteration suitable for parallel solution of systems of equations arising from pseudo-time implicit discretization of the steady compressible Euler and Navier-Stokes equations. We demonstrate the performance of the developed algorithm as a smoother in nonlinear and linear mulrigrid solvers for some Reynolds-averaged Navier-Stokes (RANS) cases in external aerodynamics.",

author = "Aditya Kashi and Syam Vangara and Sivakumaran Nadarajah",

note = "Publisher Copyright: {\textcopyright} 2018, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.; 48th AIAA Fluid Dynamics Conference, 2018 ; Conference date: 25-06-2018 Through 29-06-2018",

year = "2018",

doi = "10.2514/6.2018-3558",

language = "English",

isbn = "9781624105531",

series = "2018 Fluid Dynamics Conference",

publisher = "American Institute of Aeronautics and Astronautics Inc, AIAA",

booktitle = "2018 Fluid Dynamics Conference",

}

Kashi, A, Vangara, S & Nadarajah, S 2018, Asynchronous fine-grain parallel smoothers for computational fluid dynamics. in 2018 Fluid Dynamics Conference., AIAA 2018-3558, 2018 Fluid Dynamics Conference, American Institute of Aeronautics and Astronautics Inc, AIAA, 48th AIAA Fluid Dynamics Conference, 2018, Atlanta, United States, 06/25/18. https://doi.org/10.2514/6.2018-3558

Asynchronous fine-grain parallel smoothers for computational fluid dynamics. / Kashi, Aditya; Vangara, Syam; Nadarajah, Sivakumaran.
2018 Fluid Dynamics Conference. American Institute of Aeronautics and Astronautics Inc, AIAA, 2018. AIAA 2018-3558 (2018 Fluid Dynamics Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - The availability of massively parallel hardware for scientific computation has, in principle, enabled new levels of performance for computational fluid dynamics (CFD) codes. However, for leveraging such hardware for implicit solvers, the prevailing methods are not suitable. We develop an asynchronous iteration suitable for parallel solution of systems of equations arising from pseudo-time implicit discretization of the steady compressible Euler and Navier-Stokes equations. We demonstrate the performance of the developed algorithm as a smoother in nonlinear and linear mulrigrid solvers for some Reynolds-averaged Navier-Stokes (RANS) cases in external aerodynamics.

AB - The availability of massively parallel hardware for scientific computation has, in principle, enabled new levels of performance for computational fluid dynamics (CFD) codes. However, for leveraging such hardware for implicit solvers, the prevailing methods are not suitable. We develop an asynchronous iteration suitable for parallel solution of systems of equations arising from pseudo-time implicit discretization of the steady compressible Euler and Navier-Stokes equations. We demonstrate the performance of the developed algorithm as a smoother in nonlinear and linear mulrigrid solvers for some Reynolds-averaged Navier-Stokes (RANS) cases in external aerodynamics.

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ER -

Asynchronous fine-grain parallel smoothers for computational fluid dynamics

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Funding

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