Massively Parallel Large Scale Stokes Flow Simulation
Conference contribution
(Original article)
Publication Details
Author(s): Gmeiner B, Huber M, John L, Rüde U, Waluga C, Wohlmuth BI
Editor(s): Binder K, Müller M, Kremer M, Schnurpfeil A
Publication year: 2016
Conference Proceedings Title: NIC Symposium 2016 Proceedings
Pages range: 333341
ISBN: 9783958061095
Language: English
Abstract
In many applications, physical models consisting of a Stokestype equation that is coupled to a convectiondominated transport equation play an important role, e.g., in mantleconvection or icesheet dynamics. In the iterative treatment of such problems the computational cost is usually dominated by the solution procedure for the Stokes part. Hence, we focus on massively scalable and fast multigrid solvers for the arising saddle point problem. To gain deeper insight into the performance characteristics, we evaluate the multigrid efficiency systematically and address the methodology of algorithmic resilience. Three methods based on the HHG software framework will be presented and are shown to solve FE systems with half a billion unknowns even on standard workstations. On petascale systems they furthermore exhibit excellent scalability. This together with the optimised performance on each node leads to superior supercomputing efficiency. Indefinite systems with up to ten trillion (1013) unknowns can be solved in less than 13 minutes compute time.
FAU Authors / FAU Editors
   Lehrstuhl für Informatik 10 (Systemsimulation) 

   Lehrstuhl für Informatik 10 (Systemsimulation) 

   Lehrstuhl für Informatik 10 (Systemsimulation) 

How to cite
APA:  Gmeiner, B., Huber, M., John, L., Rüde, U., Waluga, C., & Wohlmuth, B.I. (2016). Massively Parallel Large Scale Stokes Flow Simulation. In Binder K, Müller M, Kremer M, Schnurpfeil A (Eds.), NIC Symposium 2016 Proceedings (pp. 333341). John von Neumann Institute for Computing (NIC), Jülich. 
MLA:  Gmeiner, Björn, et al. "Massively Parallel Large Scale Stokes Flow Simulation." Proceedings of the NIC Symposium 2016, John von Neumann Institute for Computing (NIC), Jülich Ed. Binder K, Müller M, Kremer M, Schnurpfeil A, 2016. 333341. 