Performance of high-order implicit large eddy simulations

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The performance of parallel implicit large eddy simulations (iLES) is investigated in conjunction with high-order weighted essentially non-oscillatory schemes up to 11th-order of accuracy. Simulations were performed for the Taylor Green Vortex and supersonic turbulent boundary layer flows on High Performance Computing (HPC) facilities. The present iLES are highly scalable achieving performance of approximately 93% and 68% on 1,536 and 6,144 cores, respectively, for simulations on a mesh of approximately 1.07 billion cells. The study also shows that high-order iLES attain accuracy similar to strict direct numerical simulation (DNS) but at a reduced computational cost.
LanguageEnglish
Pages307-312
Number of pages6
JournalComputers and Fluids
Volume173
Early online date31 Jan 2018
DOIs
Publication statusPublished - 15 Sep 2018

Fingerprint

Large eddy simulation
Boundary layer flow
Direct numerical simulation
Vortex flow
Costs

Keywords

  • iLES
  • high-order methods
  • turbulent flows
  • parallel computing

Cite this

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title = "Performance of high-order implicit large eddy simulations",
abstract = "The performance of parallel implicit large eddy simulations (iLES) is investigated in conjunction with high-order weighted essentially non-oscillatory schemes up to 11th-order of accuracy. Simulations were performed for the Taylor Green Vortex and supersonic turbulent boundary layer flows on High Performance Computing (HPC) facilities. The present iLES are highly scalable achieving performance of approximately 93{\%} and 68{\%} on 1,536 and 6,144 cores, respectively, for simulations on a mesh of approximately 1.07 billion cells. The study also shows that high-order iLES attain accuracy similar to strict direct numerical simulation (DNS) but at a reduced computational cost.",
keywords = "iLES, high-order methods, turbulent flows, parallel computing",
author = "Konstantinos Ritos and Kokkinakis, {Ioannis W.} and Dimitris Drikakis",
year = "2018",
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doi = "10.1016/j.compfluid.2018.01.030",
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}

Performance of high-order implicit large eddy simulations. / Ritos, Konstantinos; Kokkinakis, Ioannis W.; Drikakis, Dimitris.

In: Computers and Fluids, Vol. 173, 15.09.2018, p. 307-312.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Performance of high-order implicit large eddy simulations

AU - Ritos, Konstantinos

AU - Kokkinakis, Ioannis W.

AU - Drikakis, Dimitris

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AB - The performance of parallel implicit large eddy simulations (iLES) is investigated in conjunction with high-order weighted essentially non-oscillatory schemes up to 11th-order of accuracy. Simulations were performed for the Taylor Green Vortex and supersonic turbulent boundary layer flows on High Performance Computing (HPC) facilities. The present iLES are highly scalable achieving performance of approximately 93% and 68% on 1,536 and 6,144 cores, respectively, for simulations on a mesh of approximately 1.07 billion cells. The study also shows that high-order iLES attain accuracy similar to strict direct numerical simulation (DNS) but at a reduced computational cost.

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KW - high-order methods

KW - turbulent flows

KW - parallel computing

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