A performance analysis of ensemble averaging for high fidelity turbulence simulations at the strong scaling limit

Vakhtang Makarashvili, Elia Merzari, Aleksandr Obabko, Andrew Siegel, Paul Fischer

Research output: Contribution to journalArticle

4 Scopus citations

Abstract

We analyze the potential performance benefits of estimating expected quantities in large eddy simulations of turbulent flows using true ensembles rather than ergodic time averaging. Multiple realizations of the same flow are simulated in parallel, using slightly perturbed initial conditions to create unique instantaneous evolutions of the flow field. Each realization is then used to calculate statistical quantities. Provided each instance is sufficiently de-correlated, this approach potentially allows considerable reduction in the time to solution beyond the strong scaling limit for a given accuracy. This paper focuses on the theory and implementation of the methodology in Nek5000, a massively parallel open-source spectral element code.

Original languageEnglish (US)
Pages (from-to)236-245
Number of pages10
JournalComputer Physics Communications
Volume219
DOIs
StatePublished - Oct 2017

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Physics and Astronomy(all)

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