Immersed Boundary Method Halo Exchange in a Hemodynamics Application

Gounley, John; Draeger, Erik; Randles, Amanda

doi:10.1007/978-3-030-22734-0_32

Immersed Boundary Method Halo Exchange in a Hemodynamics Application

Conference · 01 June 2019

DOI:https://doi.org/10.1007/978-3-030-22734-0_32· OSTI ID:1526390

Gounley, John ^[1]; Draeger, Erik ^[2]; Randles, Amanda ^[3]

ORNL
Lawrence Livermore National Laboratory (LLNL)
Duke university Duhram, NC

In recent years, highly parallelized simulations of blood flow resolving individual blood cells have been demonstrated. Simulating such dense suspensions of deformable particles in flow often involves a partitioned fluid-structure interaction (FSI) algorithm, with separate solvers for Eulerian fluid and Lagrangian cell grids, plus a solver - e.g., immersed boundary method - for their interaction. Managing data motion in parallel FSI implementations is increasingly important, particularly for inhomogeneous systems like vascular geometries. In this study, we evaluate the influence of Eulerian and Lagrangian halo exchanges on efficiency and scalability of a partitioned FSI algorithm for blood flow. We describe an MPI+OpenMP implementation of the immersed boundary method coupled with lattice Boltzmann and finite element methods. We consider how communication and recomputation costs influence the optimization of halo exchanges with respect to three factors: immersed boundary interaction distance, cell suspension density, and relative fluid/cell solver costs.

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Research Organization:: Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)

Sponsoring Organization:: USDOE

DOE Contract Number:: AC05-00OR22725

OSTI ID:: 1526390

Resource Relation:: Journal Volume: 11536; Conference: International Conference on Computational Science (ICCS 2019) - Faro, , Portugal - 6/12/2019 12:00:00 PM-6/14/2019 12:00:00 PM

Country of Publication:: United States

Language:: English

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