Pace v0.2: a Python-based performance-portable atmospheric model
<p>Progress in leveraging current and emerging high-performance computing infrastructures using traditional weather and climate models has been slow. This has become known more broadly as the software productivity gap. With the end of Moore's law driving forward rapid specialization of h...
Main Authors: | J. Dahm, E. Davis, F. Deconinck, O. Elbert, R. George, J. McGibbon, T. Wicky, E. Wu, C. Kung, T. Ben-Nun, L. Harris, L. Groner, O. Fuhrer |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2023-05-01
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Series: | Geoscientific Model Development |
Online Access: | https://gmd.copernicus.org/articles/16/2719/2023/gmd-16-2719-2023.pdf |
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