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

Related authors

Open weather and climate science in the digital era
Martine G. de Vos, Wilco Hazeleger, Driss Bari, Jörg Behrens, Sofiane Bendoukha, Irene Garcia-Marti, Ronald van Haren, Sue Ellen Haupt, Rolf Hut, Fredrik Jansson, Andreas Mueller, Peter Neilley, Gijs van den Oord, Inti Pelupessy, Paolo Ruti, Martin G. Schultz, and Jeremy Walton
Geosci. Commun., 3, 191–201, https://doi.org/10.5194/gc-3-191-2020,https://doi.org/10.5194/gc-3-191-2020, 2020
Short summary

Related subject area

Climate and Earth system modeling
LB-SCAM: a learning-based method for efficient large-scale sensitivity analysis and tuning of the Single Column Atmosphere Model (SCAM)
Jiaxu Guo, Juepeng Zheng, Yidan Xu, Haohuan Fu, Wei Xue, Lanning Wang, Lin Gan, Ping Gao, Wubing Wan, Xianwei Wu, Zhitao Zhang, Liang Hu, Gaochao Xu, and Xilong Che
Geosci. Model Dev., 17, 3975–3992, https://doi.org/10.5194/gmd-17-3975-2024,https://doi.org/10.5194/gmd-17-3975-2024, 2024
Short summary
Quantifying the impact of SST feedback frequency on Madden–Julian oscillation simulations
Yung-Yao Lan, Huang-Hsiung Hsu, and Wan-Ling Tseng
Geosci. Model Dev., 17, 3897–3918, https://doi.org/10.5194/gmd-17-3897-2024,https://doi.org/10.5194/gmd-17-3897-2024, 2024
Short summary
Systematic and objective evaluation of Earth system models: PCMDI Metrics Package (PMP) version 3
Jiwoo Lee, Peter J. Gleckler, Min-Seop Ahn, Ana Ordonez, Paul A. Ullrich, Kenneth R. Sperber, Karl E. Taylor, Yann Y. Planton, Eric Guilyardi, Paul Durack, Celine Bonfils, Mark D. Zelinka, Li-Wei Chao, Bo Dong, Charles Doutriaux, Chengzhu Zhang, Tom Vo, Jason Boutte, Michael F. Wehner, Angeline G. Pendergrass, Daehyun Kim, Zeyu Xue, Andrew T. Wittenberg, and John Krasting
Geosci. Model Dev., 17, 3919–3948, https://doi.org/10.5194/gmd-17-3919-2024,https://doi.org/10.5194/gmd-17-3919-2024, 2024
Short summary
A revised model of global silicate weathering considering the influence of vegetation cover on erosion rate
Haoyue Zuo, Yonggang Liu, Gaojun Li, Zhifang Xu, Liang Zhao, Zhengtang Guo, and Yongyun Hu
Geosci. Model Dev., 17, 3949–3974, https://doi.org/10.5194/gmd-17-3949-2024,https://doi.org/10.5194/gmd-17-3949-2024, 2024
Short summary
A radiative–convective model computing precipitation with the maximum entropy production hypothesis
Quentin Pikeroen, Didier Paillard, and Karine Watrin
Geosci. Model Dev., 17, 3801–3814, https://doi.org/10.5194/gmd-17-3801-2024,https://doi.org/10.5194/gmd-17-3801-2024, 2024
Short summary

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
Bauer, P., Thorpe, A., and Brunet, G.: The quiet revolution of numerical weather prediction, Nature, 525, 47–55, https://doi.org/10.1038/nature14956, 2015. a
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
Download
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.