Parallel simulation of dendritic growth on unstructured grids

Schäfer A, Fey D, Hammer J (2011)


Publication Type: Conference contribution

Publication year: 2011

Publisher: ACM

Edited Volumes: IAAA'11 - Proceedings of the 1st Workshop on Irregular Applications: Architectures and Algorithm, Co-located with SC'11

City/Town: New York, NY, USA

Pages Range: 15-22

Conference Proceedings Title: IAAA '11: Proceedings of the first workshop on Irregular applications: architectures and algorithms

Event location: Seattle

ISBN: 978-1-4503-1121-2

URI: http://dl.acm.org/citation.cfm?id=2089148

DOI: 10.1145/2089142.2089148

Abstract

In this paper we present our findings from parallelizing a material science application which simulates dendritic growth in molten metal alloys. The simulation itself is based on an iterative 2D meshfree model. The simulation cells are tightly coupled and depend on neighbors in a relatively large radius, so the code turned out to be communication bound. We present two different approaches for the parallelization: one specifically written for this application, and one which uses LibGeoDecomp, a stencil code library. Benchmarks show that the stencil code library performs much better than expected, despite not being designed for this use case. © 2011 ACM.

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How to cite

APA:

Schäfer, A., Fey, D., & Hammer, J. (2011). Parallel simulation of dendritic growth on unstructured grids. In IAAA '11: Proceedings of the first workshop on Irregular applications: architectures and algorithms (pp. 15-22). Seattle: New York, NY, USA: ACM.

MLA:

Schäfer, Andreas, Dietmar Fey, and Julian Hammer. "Parallel simulation of dendritic growth on unstructured grids." Proceedings of the SC'11 SC Conference on High Performance Computing Networking, Storage and Analysis Seattle, Seattle New York, NY, USA: ACM, 2011. 15-22.

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