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arXiv · 1708.08741

A Scalable Multiphysics Algorithm for Massively Parallel Direct Numerical Simulations of Electrophoresis

Dominik Bartuschat·Ulrich Rüde
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Abstract

In this article we introduce a novel coupled algorithm for massively parallel direct numerical simulations of electrophoresis in microfluidic flows. This multiphysics algorithm employs an Eulerian description of fluid and ions, combined with a Lagrangian representation of moving charged particles. The fixed grid facilitates efficient solvers and the employed lattice Boltzmann method can efficiently handle complex geometries. Validation experiments with more than $70\,000$ time steps are presented, together with scaling experiments with over ${4\cdot10^{6}}$ particles and ${1.96\cdot10^{11}}$ grid cells for both hydrodynamics and electric potential. We achieve excellent performance and scaling on up to $65\,536$ cores of a current supercomputer.

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Dominik Bartuschat, Ulrich Rüde. 2017-08-29. A Scalable Multiphysics Algorithm for Massively Parallel Direct Numerical Simulations of Electrophoresis. https://doi.org/10.1016/j.jocs.2018.05.011

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