Bulletin of the American Physical Society
75th Annual Meeting of the Division of Fluid Dynamics
Volume 67, Number 19
Sunday–Tuesday, November 20–22, 2022; Indiana Convention Center, Indianapolis, Indiana.
Session Q29: CFD: High Performance Computing
1:25 PM–3:22 PM,
Monday, November 21, 2022
Room: 237
Chair: Peter Brady, Los Alamos National Laboratory
Abstract: Q29.00008 : Euler-Lagrange multiphase flow simulations in the GPU-accelerated spectral element solver NekRS*
2:56 PM–3:09 PM
Presenter:
Viral S Shah
(Argonne National Laboratory, University of Illinois at Urbana-Champaign)
Authors:
Viral S Shah
(Argonne National Laboratory, University of Illinois at Urbana-Champaign)
Dimitrios K. Fytanidis
(Argonne National Laboratory, University of Illinois at Urbana-Champaign)
Yan Feng
(Argonne National Laboratory)
Virendra P Ghate
(Argonne National Laboratory)
Rao Kotamarthi
(Argonne National Laboratory)
Malachi Phillips
(University of Illinois at Urbana-Champaign)
Paul Fischer
(Argonne National Laboratory, University of Illinois at Urbana-Champaign)
are commonly used to study complex multiphase flows. Applications of such
simulations range from the spread of airborne droplets and aerosols as
potential virus carriers to detailed cloud-droplet dynamics. The particle
simulation library, PPICLF [1,2], which includes state-of-the-art four-way
particle/droplet coupling already exists for spectral elements in a CPU-based
framework. Such strong support, however, is not yet found in a GPU-based
framework. This work aims to provide a plug-in to the GPU-based spectral
element fluid flow solver, NekRS, to incorporate interactions of Lagrangian
particles with fluid, other particles, and boundaries of the domain. The solver
also includes the interaction forces exerted by the particles back onto the
fluid. These capabilities are used to simulate cloud-droplet growth
by condensation in turbulent flows. Using this example, we evaluate the impact
of each component of the plug-in on the parallel GPU performance.
[1] Zwick, D., ppiclF: A parallel particle-in-cell library in Fortran,
J. Open Source Software, May 2019.
[2] Zwick, D. (2019). Scalable highly-resolved Euler-Lagrange multiphase flow simulation with
applications to shock tubes. (Doctoral dissertation). University of Florida.
*This research is supported by Laboratory Directed Research and Development (LDRD) funding from Argonne National Laboratory, provided by the Director, Office of Science, of the U.S. Department of Energy under Contract DE- AC02-06CH1135.This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357.We gratefully acknowledge the computing resources provided by the Laboratory Computing Resource Center at Argonne National Laboratory.
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