A scalable multiphysics algorithm for massively parallel direct numerical simulations of electrophoresis

Beitrag in einer Fachzeitschrift
(Originalarbeit)


Details zur Publikation

Autor(en): Bartuschat D, Rüde U
Zeitschrift: Journal of Computational Science
Jahr der Veröffentlichung: 2018
Band: 27
Seitenbereich: 147 - 167
ISSN: 1877-7503
Sprache: Englisch


Abstract

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 × 106 particles and 1.96 × 1011
grid cells for both hydrodynamics and electric potential. We achieve
excellent performance and scaling on up to 65 536 cores of a current
supercomputer.


FAU-Autoren / FAU-Herausgeber

Bartuschat, Dominik Dr.-Ing.
Lehrstuhl für Informatik 10 (Systemsimulation)
Rüde, Ulrich Prof. Dr.
Lehrstuhl für Informatik 10 (Systemsimulation)


Zitierweisen

APA:
Bartuschat, D., & Rüde, U. (2018). A scalable multiphysics algorithm for massively parallel direct numerical simulations of electrophoresis. Journal of Computational Science, 27, 147 - 167. https://dx.doi.org/10.1016/j.jocs.2018.05.011

MLA:
Bartuschat, Dominik, and Ulrich Rüde. "A scalable multiphysics algorithm for massively parallel direct numerical simulations of electrophoresis." Journal of Computational Science 27 (2018): 147 - 167.

BibTeX: 

Zuletzt aktualisiert 2018-10-08 um 23:26