Oliver Fuhrer

Being able to effiiciently leverage the available compute power is the most important constraint limiting the horizontal resolution, the complexity of the model system, and the number of ensemble members of numerical weather prediction and regional climate models. In order to leverage future supercomputers, which will tend to have an increasing number of compute cores with reduced memory access speed per core, current climate and weather prediction codes will have to be adapted. In this presentation we will discuss general characteristics of codes using finite difference or finite volume methods on structured grids and their implications on the efficiency of the algorithms on emerging computing hardware. Using the concrete example of the dynamical core of the COSMO (Consortium for Small Scale Modeling) model, an effort where the application code, numerical libraries, and the computing system are co-designed will be discussed.