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

@article{Makarashvili2017APA,
  title={A performance analysis of ensemble averaging for high fidelity turbulence simulations at the strong scaling limit},
  author={Vakhtang Makarashvili and Elia Merzari and Aleks Obabko and Andrew R. Siegel and Paul F. Fischer},
  journal={Computer Physics Communications},
  year={2017},
  volume={219},
  pages={236-245}
}
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… CONTINUE READING

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