Articles | Volume 12, issue 10
Geosci. Model Dev., 12, 4425–4441, 2019
https://doi.org/10.5194/gmd-12-4425-2019
Geosci. Model Dev., 12, 4425–4441, 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 et al.

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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.