Session

DescriptionWeather and climate prediction have made significant progress over the past decades. Despite this progress there are still substantial shortcomings including insufficient parallelism, limited scalability, portability limitations, and increasing complexity in the applications. Weather extremes, for example, are still difficult to predict with sufficient lead time and predicting the impact of climate change at a regional or national level is a big challenge. Improving these predictions promises important economic benefits. One of the key sources of model error is limited spatial and temporal resolution. Improving resolution translates into significant computational challenges. This makes it necessary to heavily restructure and optimise weather and climate models for the fastest available supercomputers. This mini-symposium gives an overview of work on porting and optimising four popular earth system models for the supercomputer Summit. This includes optimisation for the NVIDIA V100 GPUs as well as the IBM Power 9 host CPUs and the Mellanox interconnect. Being able to make good use of fat nodes like on Summit will be highly relevant for many domains within the HPC community.