Peter D. Düben

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 15

Top Topics

Energy Efficient

Diffusion Model

Data Assimilation

Improve The Prediction Accuracy

Top Venues

Nat. Comput. Sci.

Publications

Langwen Huang, Lukas Gianinazzi, Yuejiang Yu, Peter D. Düben, Torsten Hoefler
DiffDA: a diffusion model for weather-scale data assimilation. CoRR (2024)
Dmitrii Kochkov, Janni Yuval, Ian Langmore, Peter Norgaard, Jamie A. Smith, Griffin Mooers, James Lottes, Stephan Rasp, Peter D. Düben, Milan Klöwer, Sam Hatfield, Peter W. Battaglia, Alvaro Sanchez-Gonzalez, Matthew Willson, Michael P. Brenner, Stephan Hoyer
Neural General Circulation Models. CoRR (2023)
Lucy Harris, Andrew T. T. McRae, Matthew Chantry, Peter D. Düben, Tim N. Palmer
A Generative Deep Learning Approach to Stochastic Downscaling of Precipitation Forecasts. CoRR (2022)
Milan Klöwer, Miha Razinger, Juan J. Dominguez, Peter D. Düben, Tim N. Palmer
Compressing atmospheric data into its real information content. Nat. Comput. Sci. 1 (11) (2021)
David Meyer, Robin J. Hogan, Peter D. Düben, Shannon L. Mason
Machine Learning Emulation of 3D Cloud Radiative Effects. CoRR (2021)
Tommaso Benacchio, Luca Bonaventura, Mirco Altenbernd, Chris D. Cantwell, Peter D. Düben, Mike Gillard, Luc Giraud, Dominik Göddeke, Erwan Raffin, Keita Teranishi, Nils Wedi
Resilience and fault tolerance in high-performance computing for numerical weather and climate prediction. Int. J. High Perform. Comput. Appl. 35 (4) (2021)
Peter Bauer, Peter D. Düben, Torsten Hoefler, Tiago Quintino, Thomas C. Schulthess, Nils P. Wedi
The digital revolution of Earth-system science. Nat. Comput. Sci. 1 (2) (2021)
Jan Ackmann, Peter D. Düben, Tim N. Palmer, Piotr K. Smolarkiewicz
Mixed-precision for Linear Solvers in Global Geophysical Flows. CoRR (2021)
Jan Ackmann, Peter D. Düben, Tim N. Palmer, Piotr K. Smolarkiewicz
Machine-Learned Preconditioners for Linear Solvers in Geophysical Fluid Flows. CoRR (2020)
Sam Hatfield, Matthew Chantry, Peter D. Düben, Tim N. Palmer
Accelerating High-Resolution Weather Models with Deep-Learning Hardware. PASC (2019)
Francis P. Russell, Peter D. Düben, Xinyu Niu, Wayne Luk, Tim N. Palmer
Exploiting the chaotic behaviour of atmospheric models with reconfigurable architectures. Comput. Phys. Commun. 221 (2017)
James Stanley Targett, Peter D. Düben, Wayne Luk
Validating optimisations for chaotic simulations. FPL (2017)
Francis P. Russell, Peter D. Düben, Xinyu Niu, Wayne Luk, Tim N. Palmer
Architectures and Precision Analysis for Modelling Atmospheric Variables with Chaotic Behaviour. FCCM (2015)
James Stanley Targett, Xinyu Niu, Francis P. Russell, Wayne Luk, Stephen Jeffress, Peter D. Düben
Lower precision for higher accuracy: Precision and resolution exploration for shallow water equations. FPT (2015)
Peter D. Düben, Jeremy Schlachter, Parishkrati, Sreelatha Yenugula, John Augustine, Christian C. Enz, Krishna V. Palem, Tim N. Palmer
Opportunities for energy efficient computing: a study of inexact general purpose processors for high-performance and big-data applications. DATE (2015)
Peter D. Düben, Hugh McNamara, Tim N. Palmer
The use of imprecise processing to improve accuracy in weather & climate prediction. J. Comput. Phys. 271 (2014)
Peter D. Düben, Peter Korn, Vadym Aizinger
A discontinuous/continuous low order finite element shallow water model on the sphere. J. Comput. Phys. 231 (6) (2012)