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.