The ESCAPE project: Energy-efficient Scalable Algorithms for Weather Prediction at Exascale

The ESCAPE project: Energy-efficient Scalable Algorithms for Weather Prediction at Exascale

<p>In the simulation of complex multi-scale flows arising in weather and climate modelling, one of the biggest challenges is to satisfy strict service requirements in terms of time to solution and to satisfy budgetary constraints in terms of energy to solution, without compromising the accurac...

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Main Authors: A. Müller, W. Deconinck, C. Kühnlein, G. Mengaldo, M. Lange, N. Wedi, P. Bauer, P. K. Smolarkiewicz, M. Diamantakis, S.-J. Lock, M. Hamrud, S. Saarinen, G. Mozdzynski, D. Thiemert, M. Glinton, P. Bénard, F. Voitus, C. Colavolpe, P. Marguinaud, Y. Zheng, J. Van Bever, D. Degrauwe, G. Smet, P. Termonia, K. P. Nielsen, B. H. Sass, J. W. Poulsen, P. Berg, C. Osuna, O. Fuhrer, V. Clement, M. Baldauf, M. Gillard, J. Szmelter, E. O'Brien, A. McKinstry, O. Robinson, P. Shukla, M. Lysaght, M. Kulczewski, M. Ciznicki, W. Piątek, S. Ciesielski, M. Błażewicz, K. Kurowski, M. Procyk, P. Spychala, B. Bosak, Z. P. Piotrowski, A. Wyszogrodzki, E. Raffin, C. Mazauric, D. Guibert, L. Douriez, X. Vigouroux, A. Gray, P. Messmer, A. J. Macfaden, N. New
Format: Article
Language:English
Published: Copernicus Publications 2019-10-01
Series:Geoscientific Model Development
Online Access:https://www.geosci-model-dev.net/12/4425/2019/gmd-12-4425-2019.pdf

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https://www.geosci-model-dev.net/12/4425/2019/gmd-12-4425-2019.pdf

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