Abstract
In this paper we investigate the energy footprint and performance profiling of COSMO-ART on various HPC platforms. This model is an extension of the operational weather forecast model of the German weather service (DWD), developed for the evaluation of the interactions of reactive gases and aerosol particles with the state of atmosphere at the regional scale. Different measurement devices and energy-aware techniques are described to evaluate both time and energy to solution of the considered application and to gain detailed insights into power and performance requirements. Our motivation is to improve corresponding code sections to sustain performance while minimizing energy-to-solution. This preliminary work sets the basis for subsequent studies to tackle challenges related to energy efficient high performance computing in the framework of the Exa2Green project (EU FET Project, http://exa2green.eu/).
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Acknowledgments
The research leading to these results is supported by the Exa2Green project co-financed by the European Commission under 7th Framework Programme Future and Emerging Technologies (FET) Proactive Initiative: Minimizing Energy Consumption of Computing to the Limit (MINECC). We also gratefully acknowledge the High Performance and High Productivity Computing Initiative [2] for results that will be leveraged in subsequent code refactoring.
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Charles, J., Sawyer, W., Dolz, M.F. et al. Evaluating the performance and energy efficiency of the COSMO-ART model system. Comput Sci Res Dev 30, 177–186 (2015). https://doi.org/10.1007/s00450-014-0267-7
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DOI: https://doi.org/10.1007/s00450-014-0267-7