Articles | Volume 12, issue 10
https://doi.org/10.5194/gmd-12-4425-2019
https://doi.org/10.5194/gmd-12-4425-2019
Development and technical paper
 | 
22 Oct 2019
Development and technical paper |  | 22 Oct 2019

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

Andreas Müller, Willem Deconinck, Christian Kühnlein, Gianmarco Mengaldo, Michael Lange, Nils Wedi, Peter Bauer, Piotr K. Smolarkiewicz, Michail Diamantakis, Sarah-Jane Lock, Mats Hamrud, Sami Saarinen, George Mozdzynski, Daniel Thiemert, Michael Glinton, Pierre Bénard, Fabrice Voitus, Charles Colavolpe, Philippe Marguinaud, Yongjun Zheng, Joris Van Bever, Daan Degrauwe, Geert Smet, Piet Termonia, Kristian P. Nielsen, Bent H. Sass, Jacob W. Poulsen, Per Berg, Carlos Osuna, Oliver Fuhrer, Valentin Clement, Michael Baldauf, Mike Gillard, Joanna Szmelter, Enda O'Brien, Alastair McKinstry, Oisín Robinson, Parijat Shukla, Michael Lysaght, Michał Kulczewski, Milosz Ciznicki, Wojciech Piątek, Sebastian Ciesielski, Marek Błażewicz, Krzysztof Kurowski, Marcin Procyk, Pawel Spychala, Bartosz Bosak, Zbigniew P. Piotrowski, Andrzej Wyszogrodzki, Erwan Raffin, Cyril Mazauric, David Guibert, Louis Douriez, Xavier Vigouroux, Alan Gray, Peter Messmer, Alexander J. Macfaden, and Nick New

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Cited articles

Asanović, K., Bodik, R., Catanzaro, B. C., Gebis, J. J., Husbands, P., Keutzer, K., Patterson, D. A., Plishker, W. L., Shalf, J., Williams, S. W., and Yelick, K. A.: The landscape of parallel computing research: a view from Berkeley, Tech. Rep. UCB/EECS-2006-183, EECS Department, University of California, Berkeley, available at: http://www2.eecs.berkeley.edu/Pubs/TechRpts/2006/EECS-2006-183.pdf (last access: 27 September 2019), 2006. a
Asanović, K., Wawrzynek, J., Wessel, D., Yelick, K., Bodik, R., Demmel, J., Keaveny, T., Keutzer, K., Kubiatowicz, J., Morgan, N., Patterson, D., and Sen, K.: A view of the parallel computing landscape, Comm. ACM, 52, 56–67, https://doi.org/10.1145/1562764.1562783, 2009. a
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Bénard, P. and Glinton, M.: Circumventing the pole problem of reduced lat-lon grids with local schemes. Part I: analysis and model formulation, Q. J. Roy, Meteor. Soc., 145, 1377–1391, https://doi.org/10.1002/qj.3509, 2019. a
Clement, V., Ferrachat, S., Fuhrer, O., Lapillonne, X., Osuna, C. E., Pincus, R., Rood, J., and Sawyer, W.: The CLAW DSL, in: Proceedings of the Platform for Advanced Scientific Computing Conference – PASC'18, ACM Press, https://doi.org/10.1145/3218176.3218226, 2018. a
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Short summary
This paper presents an overview of the ESCAPE project. Dwarfs (key patterns in terms of computation and communication) are identified in weather prediction models. They are optimised for different hardware architectures. New algorithms are developed that are specifically designed for better energy efficiency and improved portability through domain-specific languages. Different numerical techniques are compared in terms of energy efficiency and performance for a variety of computing technologies.
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