Performance Analysis of the Lattice Boltzmann Model Beyond Navier-Stokes
Randles, Amanda Peters
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CitationRandles, Amanda Peters, Vivek Kale, Jeff Hammond, William Gropp, and Efthimios Kaxiras. 2013. Performance analysis of the Lattice Boltzmann model beyond Navier-Stokes. In Proceedings of the 27th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2013,) Cambridge, MA, May 20-24, 2013.
AbstractThe 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 hydrodynamics, but also simulations for a wider range of Knudsen numbers, which is especially important in micro- and nanoscale 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 higherorder 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.
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