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Performance of preconditioners for large-scale simulations using Nek5000
KTH, School of Engineering Sciences (SCI), Centres, Linné Flow Center, FLOW.ORCID iD: 0000-0002-1724-0188
KTH, School of Engineering Sciences (SCI), Mechanics, Stability, Transition and Control.ORCID iD: 0000-0002-7448-3290
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2019 (English)Conference paper, Published paper (Refereed)
Abstract [en]

BoomerAMG, the algebraic multigrid solver from the hypre library, is used tosolve a coarse grid problem which is part of the preconditioning strategy for thepressure equation arising from the numerical resolution of the Navier–Stokesequations. A set of optimal parameters for the setup phase is determined andused for selected strong scaling tests on two different supercomputers, namelyMira and Hazel Hen, on up to 131, 072 compute cores. The results are comparedto an existing algebraic multigrid solver, designed specifically for the coarse gridproblem at hand. It is shown that the BoomerAMG solver is fast and scalable,and that performance depends on the computer architecture. The test casesconsidered are the turbulent flow past a NACA4412 airfoil and the turbulentflow inside wire-tapped pin bundles.

Place, publisher, year, edition, pages
2019.
Keywords [en]
large-scale simulations, preconditioner, algebraic multigrid
National Category
Fluid Mechanics and Acoustics
Identifiers
URN: urn:nbn:se:kth:diva-251631OAI: oai:DiVA.org:kth-251631DiVA, id: diva2:1316158
Conference
ICOSAHOM18 conference, July 9-13, 2018, London, United Kingdom
Note

QC 20190819

Available from: 2019-05-16 Created: 2019-05-16 Last updated: 2019-08-19Bibliographically approved

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Offermans, Nicolas

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