PASC16 – Video of Beth Wingate on Challenges for Climate and Weather Prediction in the Era of Heterogeneous Computer Architectures

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.”

Thanks to Rich Brueckner from insideHPC Media Publications for recording the video.

For the full list of the PASC16 video please visit the PASC16 Video Gallery.