Close

Presentation

Invited Talk: Weather and Climate Codes in the AI Era
DescriptionWe will start the discussion with a landmark achievement: the first global simulation of the full Earth system at a 1.25 km grid spacing. Our talk will focus on how we used the Alps supercomputer to model the intricate flow of energy, water, and carbon across the atmosphere, ocean, and land. We will detail the heterogeneous setup and optimization techniques that enabled us to achieve an exceptional time compression of 82.5 simulated days per day, allowing for extensive studies of the Earth system. Throughout the talk, we focus on programmability and performance of the languages used and the frameworks employed. Specifically, we will describe the use of the Data-Centric Parallel Programming (DaCe) framework developed in Switzerland. We show how this reduced code complexity by half while increasing both performance and portability. Finally, we will put this all into context of emerging AI methods and systems and provide an outlook into how to combine physics-based simulation and data-driven AI methods.