Performance analysis of the lattice Boltzmann model beyond Navier-Stokes

Amanda Peters Randles, Vivek Kale, Jeff Hammond, William Gropp, Efthimios Kaxiras

Research output: Contribution to conferencePaper

Abstract

The lattice Boltzmann method is increasingly important in facilitating large-scale fluid dynamics simulations. To date, these simulations have been built on discretized velocity models of up to 27 neighbors. Recent work has shown that higher order approximations of the continuum Boltzmann equation enable not only recovery of the Navier-Stokes hydro-dynamics, but also simulations for a wider range of Knudsen numbers, which is especially important in micro- and nano-scale flows. These higher-order models have significant impact on both the communication and computational complexity of the application. We present a performance study of the higher-order models as compared to the traditional ones, on both the IBM Blue Gene/P and Blue Gene/Q architectures. We study the tradeoffs of many optimizations methods such as the use of deep halo level ghost cells that, alongside hybrid programming models, reduce the impact of extended models and enable efficient modeling of extreme regimes of computational fluid dynamics.

Original languageEnglish (US)
Pages1063-1074
Number of pages12
DOIs
StatePublished - Oct 7 2013
Event27th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2013 - Boston, MA, United States
Duration: May 20 2013May 24 2013

Other

Other27th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2013
CountryUnited States
CityBoston, MA
Period5/20/135/24/13

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Keywords

  • fluid dynamics
  • lattice Boltzmann
  • multicore optimization

ASJC Scopus subject areas

  • Software

Cite this

Randles, A. P., Kale, V., Hammond, J., Gropp, W., & Kaxiras, E. (2013). Performance analysis of the lattice Boltzmann model beyond Navier-Stokes. 1063-1074. Paper presented at 27th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2013, Boston, MA, United States. https://doi.org/10.1109/IPDPS.2013.109