Past webinars
Title: The Ai2 Climate Emulator: Capabilities, Challenges and Opportunities
Presenter: Oliver Watt-Meyer, AllenAI
Abstract:
Ai2 Climate Emulator (ACE) is a fast machine learning model that simulates global atmospheric variability in a changing climate over time scales ranging from hours to centuries. It generates atmospheric phenomena such as the Madden Julian Oscillation, sudden stratospheric warmings, and tropical cyclones while also accurately simulating 20th century climate trends and El Niño-related interannual variability. Its efficienc running 1500 simulated years per day on an NVIDIA H100 will make climate models more accessible and enable the generation of very large ensembles.
Title: Exploring Dataflow Architectures for Improved Efficiency in Earth System Models
Presenter: Justs Zarins, EPCC
Abstract:
Earth system models are crucial for simulating environmental processes but demand significant computational resources and energy. In this presentation we will explore the potential of dataflow architectures to enhance both computational and energy efficiency of ESMs. We will primarily discuss the Cerebras Wafer Scale Engine, examining its capabilities and evaluating its suitability for the shallow water equation.