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DTSTAMP:20190719T085744Z
LOCATION:HG F 3
DTSTART;TZID=Europe/Stockholm:20190614T093000
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UID:submissions.pasc-conference.org_PASC19_sess181_pap_jan112@linklings.co
 m
SUMMARY:A Discontinuous Galerkin Fast Spectral Method for Multi-Species Fu
 ll Boltzmann on Streaming Multi-Processors
DESCRIPTION:Paper\nComputer Science and Applied Mathematics\n\nA Discontin
 uous Galerkin Fast Spectral Method for Multi-Species Full Boltzmann on Str
 eaming Multi-Processors\n\nJaiswal, Hu, Brillon, Alexeenko\n\nWhen the mol
 ecules of a gaseous system are far apart, say in microscale gas flows wher
 e the surface to volume ratio is high and hence the surface forces dominan
 t, the molecule-surface interactions lead to the formation of a local ther
 modynamically non-equilibrium region extending few mean free paths from th
 e surface. The dynamics of such systems is accurately described by Boltzma
 nn equation. However, the multi-dimensional nature of Boltzmann equation p
 resents a huge computational challenge. With the recent mathematical devel
 opments and the advent of petascale, the dynamics of full Boltzmann equati
 on is now tractable. We present an implementation of the recently introduc
 ed multi-species discontinuous Galerkin fast spectral (DGFS) method for so
 lving full Boltzmann on streaming multi-processors. The present implementa
 tion solves the inhomogeneous Boltzmann equation in span of few minutes, m
 aking it at least two order-of-magnitude faster than the present state-of-
 art stochastic method---direct simulation Monte Carlo---widely used for so
 lving Boltzmann equation. Various performance metrics, such as weak/strong
  scaling have been presented. A parallel efficiency of 0.96--0.99 is demon
 strated on 36 Nvidia Tesla-P100 GPUs.<br /><br />Full paper: https://doi.o
 rg/10.1145/3324989.3325714
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