Articles | Volume 11, issue 7
https://doi.org/10.5194/gmd-11-2875-2018
https://doi.org/10.5194/gmd-11-2875-2018
Development and technical paper
 | 
13 Jul 2018
Development and technical paper |  | 13 Jul 2018

A run control framework to streamline profiling, porting, and tuning simulation runs and provenance tracking of geoscientific applications

Wendy Sharples, Ilya Zhukov, Markus Geimer, Klaus Goergen, Sebastian Luehrs, Thomas Breuer, Bibi Naz, Ketan Kulkarni, Slavko Brdar, and Stefan Kollet

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Cited articles

Alonso, P., Badia, R. M., Labarta, J., Barreda, M., Dolz, M. F., Mayo, R., Quintana-Orti, E. S., and Reyes, R.: Tools for Power-Energy Modelling and Analysis of Parallel Scientific Applications, in: 2012 41st International Conference on Parallel Processing, 420–429, https://doi.org/10.1109/ICPP.2012.57, 2012.
Ashby, S. F. and Falgout, R. D.: A parallel multigrid preconditioned conjugate gradient algorithm for groundwater flow simulations, Nucl. Sci. Eng., 124, 145–159, 1996.
Attig, N., Gibbon, P., and Lippert, T.: Trends in supercomputing: The European path to exascale, Comput. Phys. Commun., 182, 2041–2046, https://doi.org/10.1016/j.cpc.2010.11.011, 2011.
Bahra, A.: Managing work flows with ecFlow, ECMWF Newsletter,. Tech. Rep., 129, 30–32, 2011.
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Short summary
Next-generation geoscientific models are based on complex model implementations and workflows. Next-generation HPC systems require new programming paradigms and code optimization. In order to meet the challenge of running complex simulations on new massively parallel HPC systems, we developed a run control framework that facilitates code portability, code profiling, and provenance tracking to reduce both the duration and the cost of code migration and development, while ensuring reproducibility.
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