Asynchronous fine-grain parallel smoothers for computational fluid dynamics

Aditya Kashi, Syam Vangara, Sivakumaran Nadarajah

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-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 languageEnglish
Title of host publication2018 Fluid Dynamics Conference
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
ISBN (Print)9781624105531
DOIs
StatePublished - 2018
Externally publishedYes
Event48th AIAA Fluid Dynamics Conference, 2018 - Atlanta, United States
Duration: Jun 25 2018Jun 29 2018

Publication series

Name2018 Fluid Dynamics Conference

Conference

Conference48th AIAA Fluid Dynamics Conference, 2018
Country/TerritoryUnited States
CityAtlanta
Period06/25/1806/29/18

Funding

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

FundersFunder number
Bombardier Aerospace and Cray Inc
Bombardier
Natural Sciences and Engineering Research Council of Canada

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