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7 November 2023
09:00 to 09:30 An introduction to MAELSTROM
Presentation slides
Peter Düben (ECMWF)
09:30 to 10:00 Performance models for machine learning
Presentation slides
Karthick Panner Selvam (University of Luxembourg)
10:00 to 10:30 Experiences with W&C ML Apps on AMD Instinct GPUs
Stepan Nassyr (Jülich Supercomputing Center)
10:30 to 11:00 A machine learned weather forecast for Norway
Presentation slides
Thomas Nipen (Norwegian Meteorological Institute)
11:00 to 11:15 Coffee break
Partner EuroHPC Projects
11:15 to 11:45 SEA-Projects: towards a European heterogeneous system and SW architecture for Exascale and beyond
Hans-Christian Hoppe (Jülich Supercomputing Center)
11:45 to 12:15 SparCity for Sparse Tensors: Study on Feature Extraction and Smart Tensor Generation
Presentation slides
Tugba Torun (Koç University)
12:15 to 12:45 Some recent improvements of parallel-in-time algorithm
Presentation slides
Daniel Ruprecht (Hamburg University of Technology)
12:45 to 14:00 Lunch break
Invited external speakers
14:00 to 14:30 Radiative transfer emulation: results so far and why we should move on to 3D
Presentation slides
Peter Ukkonen (DMI)
14:30 to 15:00 Deep Learning for regional ensemble forecasting : first results
Presentation slides
Laure Raynaud (Météo-France)
15:00 to 15:30 AIFS
Presentation slides
Simon Lang (ECMWF)
15:30 to 16:00 Coffee break
16:00 to 16:30 AtmoRep: Large-Scale Representation Learning of Atmospheric Dynamics
Presentation slides
Christian Lessig (ECMWF)
16:30 to 17:00 Physics-Constrained Deep Learning for Downscaling and Emulation
Presentation slides
Paula Harder (Fraunhofer Institute ITWM)
17:00 to 17:30 Towards km-scale AI emulation for weather and climate applications
Presentation slides
Karthik Kashinath (NVIDIA)
Drinks reception
18:00 to 19:30 Drinks reception in the Weather Room