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Challenges for Climate and Weather Prediction in the Era of Heterogeneous Architectures

Beth Wingate, Professor of Mathematics at the University of Exeter

Beth Wingate, Professor of Mathematics at the University of Exeter

In this video from the PASC16 conference, Beth Wingate from the University of Exeter presents: Challenges for Climate and Weather Prediction in the Era of Heterogeneous Computer Architectures: Oscillatory Stiffness, Time-Parallelism, and the Slow Manifold.

“For weather or climate models to achieve exascale performance on next-generation heterogeneous computer architectures they will be required to exploit on the order of million- or billion-way parallelism. This degree of parallelism far exceeds anything possible in today’s models even though they are highly optimized. In this talk I will discuss the mathematical issue that leads to the limitations in space- and time-parallelism for climate and weather prediction models – oscillatory stiffness in the PDE. I will go on to discuss recent successful time-parallel algorithms including the fast-converging asymptotic parareal method and a time-parallel matrix exponential.”

Beth Wingate is a Professor of Mathematics at the University of Exeter. Previous to this she was a Senior Scientist at the Los Alamos National Laboratory. Her recent research is focused on dynamics in the Arctic Ocean, the slow/fast dynamics of the air-sea interface, and time-parallel methods for climate modeling intended to take advantage of increased parallelism available with heterogeneous computer architectures.

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