Motivation

The motivation of this project is to ensure that the CCSM is ready for the upcoming generation of petascale computing platforms, which are expected to have hundreds of thousands of processors. In the CCSM, one of the largest bottleneck to parallel scalability is due to the latitude-longitude grid based dycores in the atmospheric model. This grid clusters points at the poles, creating a potential "pole problem". There are highly effective techniques to deal with this pole problem, but the current techniques all adversely impact parallel scalability. This project aims to improve the scalability of the CCSM by the introduction of cubed-sphere based dycores (from HOMME) into CAM.  HOMME contains several cubed-sphere dycores. Our initial work will be with the conservative spectral element model.

Goals

Outstanding Issues

Running CAM-HOMME