Articles | Volume 12, issue 10
https://doi.org/10.5194/gmd-12-4425-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-12-4425-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
22 Oct 2019
Development and technical paper |
| 22 Oct 2019
| 22 Oct 2019
The ESCAPE project: Energy-efficient Scalable Algorithms for Weather Prediction at Exascale
Andreas Müller
CORRESPONDING AUTHOR
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Willem Deconinck
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Christian Kühnlein
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Gianmarco Mengaldo
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Michael Lange
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Nils Wedi
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Peter Bauer
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Piotr K. Smolarkiewicz
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Michail Diamantakis
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Sarah-Jane Lock
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Mats Hamrud
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Sami Saarinen
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
George Mozdzynski
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Daniel Thiemert
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, UK
Michael Glinton
Centre National de Recherches Météorologiques, Météo-France, Toulouse, France
Pierre Bénard
Centre National de Recherches Météorologiques, Météo-France, Toulouse, France
Fabrice Voitus
Centre National de Recherches Météorologiques, Météo-France, Toulouse, France
Charles Colavolpe
Centre National de Recherches Météorologiques, Météo-France, Toulouse, France
Philippe Marguinaud
Centre National de Recherches Météorologiques, Météo-France, Toulouse, France
Yongjun Zheng
Centre National de Recherches Météorologiques, Météo-France, Toulouse, France
Joris Van Bever
Royal Meteorological Institute (RMI), Brussels, Belgium
Daan Degrauwe
Royal Meteorological Institute (RMI), Brussels, Belgium
Geert Smet
Royal Meteorological Institute (RMI), Brussels, Belgium
Piet Termonia
Royal Meteorological Institute (RMI), Brussels, Belgium
Department of Physics and Astronomy, Ghent University, Ghent, Belgium
Kristian P. Nielsen
The Danish Meteorological Institute (DMI), Copenhagen, Denmark
Bent H. Sass
The Danish Meteorological Institute (DMI), Copenhagen, Denmark
Jacob W. Poulsen
The Danish Meteorological Institute (DMI), Copenhagen, Denmark
Per Berg
The Danish Meteorological Institute (DMI), Copenhagen, Denmark
Carlos Osuna
Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, Switzerland
Oliver Fuhrer
Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, Switzerland
Valentin Clement
Center for Climate System Modeling, Zurich, Switzerland
Michael Baldauf
Deutscher Wetterdienst (DWD), Offenbach, Germany
Mike Gillard
Loughborough University, Leicestershire, UK
Joanna Szmelter
Loughborough University, Leicestershire, UK
Enda O'Brien
Irish Centre for High-End Computing (ICHEC), National University of Ireland, Galway, Ireland
Alastair McKinstry
Irish Centre for High-End Computing (ICHEC), National University of Ireland, Galway, Ireland
Oisín Robinson
Irish Centre for High-End Computing (ICHEC), National University of Ireland, Galway, Ireland
Parijat Shukla
Irish Centre for High-End Computing (ICHEC), National University of Ireland, Galway, Ireland
Michael Lysaght
Irish Centre for High-End Computing (ICHEC), National University of Ireland, Galway, Ireland
Michał Kulczewski
Poznań Supercomputing and Networking Center (PSNC), Poznań, Poland
Milosz Ciznicki
Poznań Supercomputing and Networking Center (PSNC), Poznań, Poland
Wojciech Piątek
Poznań Supercomputing and Networking Center (PSNC), Poznań, Poland
Sebastian Ciesielski
Poznań Supercomputing and Networking Center (PSNC), Poznań, Poland
Marek Błażewicz
Poznań Supercomputing and Networking Center (PSNC), Poznań, Poland
Krzysztof Kurowski
Poznań Supercomputing and Networking Center (PSNC), Poznań, Poland
Marcin Procyk
Poznań Supercomputing and Networking Center (PSNC), Poznań, Poland
Pawel Spychala
Poznań Supercomputing and Networking Center (PSNC), Poznań, Poland
Bartosz Bosak
Poznań Supercomputing and Networking Center (PSNC), Poznań, Poland
Zbigniew P. Piotrowski
Institute of Meteorology and Water Management – National Research institute (IMGW-PIB), Warsaw, Poland
Andrzej Wyszogrodzki
Institute of Meteorology and Water Management – National Research institute (IMGW-PIB), Warsaw, Poland
Erwan Raffin
ATOS, Bezons, France
Cyril Mazauric
ATOS, Bezons, France
David Guibert
ATOS, Bezons, France
Louis Douriez
ATOS, Bezons, France
Xavier Vigouroux
ATOS, Bezons, France
Alan Gray
NVIDIA Switzerland, Zurich, Switzerland
Peter Messmer
NVIDIA Switzerland, Zurich, Switzerland
Alexander J. Macfaden
Optalysys Ltd., Glasshoughton, UK
Nick New
Optalysys Ltd., Glasshoughton, UK
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Cited
13 citations as recorded by crossref.
- The digital revolution of Earth-system science P. Bauer et al. 10.1038/s43588-021-00023-0
- High-Performance Computing in Meteorology under a Context of an Era of Graphical Processing Units T. Nakaegawa 10.3390/computers11070114
- Improving ocean modeling software NEMO 4.0 benchmarking and communication efficiency G. Irrmann et al. 10.5194/gmd-15-1567-2022
- Climate-model-informed deep learning of global soil moisture distribution K. Klingmüller & J. Lelieveld 10.5194/gmd-14-4429-2021
- Mixed‐Precision for Linear Solvers in Global Geophysical Flows J. Ackmann et al. 10.1029/2022MS003148
- A Baseline for Global Weather and Climate Simulations at 1 km Resolution N. Wedi et al. 10.1029/2020MS002192
- A review on the decarbonization of high-performance computing centers C. Silva et al. 10.1016/j.rser.2023.114019
- A suite of Richardson preconditioners for semi-implicit all-scale atmospheric models Z. Piotrowski & P. Smolarkiewicz 10.1016/j.jcp.2022.111296
- Preconditioning elliptic operators in high-performance all-scale atmospheric models on unstructured meshes M. Gillard et al. 10.1016/j.jcp.2024.113503
- A Numerical Analysis of Six Physics‐Dynamics Coupling Schemes for Atmospheric Models S. Ubbiali et al. 10.1029/2020MS002377
- What if? Numerical weather prediction at the crossroads P. Bauer 10.1016/j.jemets.2024.100002
- Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction T. Benacchio et al. 10.1177/1094342021990433
- Continuous Simulation Data Stream: A dynamical timescale-dependent output scheme for simulations L. Hausammann et al. 10.1016/j.ascom.2022.100659
13 citations as recorded by crossref.
- The digital revolution of Earth-system science P. Bauer et al. 10.1038/s43588-021-00023-0
- High-Performance Computing in Meteorology under a Context of an Era of Graphical Processing Units T. Nakaegawa 10.3390/computers11070114
- Improving ocean modeling software NEMO 4.0 benchmarking and communication efficiency G. Irrmann et al. 10.5194/gmd-15-1567-2022
- Climate-model-informed deep learning of global soil moisture distribution K. Klingmüller & J. Lelieveld 10.5194/gmd-14-4429-2021
- Mixed‐Precision for Linear Solvers in Global Geophysical Flows J. Ackmann et al. 10.1029/2022MS003148
- A Baseline for Global Weather and Climate Simulations at 1 km Resolution N. Wedi et al. 10.1029/2020MS002192
- A review on the decarbonization of high-performance computing centers C. Silva et al. 10.1016/j.rser.2023.114019
- A suite of Richardson preconditioners for semi-implicit all-scale atmospheric models Z. Piotrowski & P. Smolarkiewicz 10.1016/j.jcp.2022.111296
- Preconditioning elliptic operators in high-performance all-scale atmospheric models on unstructured meshes M. Gillard et al. 10.1016/j.jcp.2024.113503
- A Numerical Analysis of Six Physics‐Dynamics Coupling Schemes for Atmospheric Models S. Ubbiali et al. 10.1029/2020MS002377
- What if? Numerical weather prediction at the crossroads P. Bauer 10.1016/j.jemets.2024.100002
- Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction T. Benacchio et al. 10.1177/1094342021990433
- Continuous Simulation Data Stream: A dynamical timescale-dependent output scheme for simulations L. Hausammann et al. 10.1016/j.ascom.2022.100659
Latest update: 04 Nov 2024
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.
This paper presents an overview of the ESCAPE project. Dwarfs (key patterns in terms of...
