Performance Optimization of a Massively Parallel Phase-Field Method Using the HPC Framework waLBerla

Conference contribution
(Abstract of lecture)


Publication Details

Author(s): Bauer M, Schornbaum F, Godenschwager C, Hötzer J, Köstler H, Rüde U
Publication year: 2016
Language: English


Abstract

We
present a massively parallel phasefield code, based onthe HPC framework
waLBerla, for simulating solidificationprocesses of ternary eutectic
systems. Different patternsare forming during directional solidification
of ternary eu-tectics, depending on the physical parameters, with
signif-icant influence on the mechanical properties of the mate-rial. We
show simulations of large structure formations,which give rise to
spiral growth. Our implementation ofthis method in the HPC framework
waLBerla uses explicitvectorization, asynchronous communication and I/O
band-with reduction techniques. Optimization and scaling re-sults are
presented for simulations run on three Germansupercomputers: SuperMUC,
Hornet and JUQUEEN.


FAU Authors / FAU Editors

Bauer, Martin
Lehrstuhl für Informatik 10 (Systemsimulation)
Godenschwager, Christian
Lehrstuhl für Informatik 10 (Systemsimulation)
Köstler, Harald Prof. Dr.
Lehrstuhl für Informatik 10 (Systemsimulation)
Rüde, Ulrich Prof. Dr.
Lehrstuhl für Informatik 10 (Systemsimulation)
Schornbaum, Florian
Lehrstuhl für Informatik 10 (Systemsimulation)


External institutions with authors

Karlsruhe Institute of Technology (KIT)


How to cite

APA:
Bauer, M., Schornbaum, F., Godenschwager, C., Hötzer, J., Köstler, H., & Rüde, U. (2016, April). Performance Optimization of a Massively Parallel Phase-Field Method Using the HPC Framework waLBerla. Paper presentation at SIAM Conference on Parallel Processing 2016 (SIAM-PP16), Paris, FR.

MLA:
Bauer, Martin, et al. "Performance Optimization of a Massively Parallel Phase-Field Method Using the HPC Framework waLBerla." Presented at SIAM Conference on Parallel Processing 2016 (SIAM-PP16), Paris 2016.

BibTeX: 

Last updated on 2019-24-04 at 05:21