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DOE OSTI · 1957761

Parallel scaling analysis for explicit solid dynamics in ALEGRA

Niederhaus, John H. J.·Drake, Richard R.·Luchini, Christopher B.
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Abstract

Weak scaling studies were performed for the explicit solid dynamics component of the ALEGRA code on two Cray supercomputer platforms during the period 2012-2015, involving a production-oriented hypervelocity impact problem. Results from these studies are presented, with analysis of the performance, scaling, and throughput of the code on these machines. The analysis demonstrates logarithmic scaling of the average CPU time per cycle up to core counts on the order of 10,000. At higher core counts, variable performance is observed, with significant upward excursions in compute time from the logarithmic trend. However, for core counts less than 10,000, the results show a 3 × improvement in simulation throughput, and a 2 × improvement in logarithmic scaling. This improvement is linked to improved memory performance on the Cray platforms, and to significant improvements made over this period to the data layout used by ALEGRA.

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97 MATHEMATICS AND COMPUTING

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BibTeXRIS

Niederhaus, John H. J., Drake, Richard R., Luchini, Christopher B.. 2015-12-18. Parallel scaling analysis for explicit solid dynamics in ALEGRA. https://doi.org/10.2172/1957761

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