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

Bauer M, Schornbaum F, Godenschwager C, Hötzer J, Köstler H, Rüde U (2016)

Publication Language: English

Publication Type: Conference contribution, Abstract of lecture

Publication year: 2016

Event location: Paris FR

URI: https://www10.cs.fau.de/publications/talks/2016/Bauer_Paris_SIAM-PP_2016-04-13.pdf

Open Access Link: https://www10.cs.fau.de/publications/talks/2016/Bauer_Paris_SIAM-PP_2016-04-13.pdf

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.

Authors with CRIS profile

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

Involved external institutions

Karlsruhe Institute of Technology (KIT) DE Germany (DE)

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.

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