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The SuperN-Project: Porting and Optimizing VERTEX-PROMETHEUS on the Cray XE6 at HLRS for Three-Dimensional Simulations of Core-Collapse Supernova Explosions of Massive Stars

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High Performance Computing in Science and Engineering ‘12
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Abstract

Supernova explosions are among the most powerful cosmic events, whose physical mechanism and consequences are still incompletely understood. We have developed a fully MPI-OpenMP parallelized version of our VERTEX-PROMETHEUS code in order to perform three-dimensional simulations of stellar core-collapse and explosion on Tier-0 systems such as Hermit at HLRS. Tests on up to 64,000 cores have shown excellent scaling behavior. In this report we present the system of equations and the algorithm for its solution that are employed in our code VERTEX-PROMETHEUS. We also discuss the parallelization of VERTEX-PROMETHEUS and present our progress in porting, optimizing, and performing production runs on a large variety of machines, starting from vector machines and reaching to modern systems. In particular the results of our efforts to achieve good parallel scaling on the new Cray XE6 at HLRS Stuttgart are highlighted.

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Acknowledgements

We thank especially K. Benkert for her extremely valuable and fruitful work on the MPI version of Vertex. Support by the Deutsche Forschungsgemeinschaft through the SFB ∕ TR27 “Neutrinos and Beyond” and the SFB/TR7 “Gravitational Wave Astronomy”, and by the Cluster of Excellence EXC 153 “Origin and Structure of the Universe” (http://www.universe-cluster.de) are acknowledged, as well computer time grants of the HLRS, NIC Jülich, and Rechenzentrum Garching are acknowledged.

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Correspondence to F. Hanke .

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Hanke, F., Marek, A., Müller, B., Janka, HT. (2013). The SuperN-Project: Porting and Optimizing VERTEX-PROMETHEUS on the Cray XE6 at HLRS for Three-Dimensional Simulations of Core-Collapse Supernova Explosions of Massive Stars. In: Nagel, W., Kröner, D., Resch, M. (eds) High Performance Computing in Science and Engineering ‘12. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33374-3_8

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