high performance computing on graphics processing units: hgpu.org

Climate change due to increasing anthropogenic greenhouse gases and land surface change is currently one of the most relevant environmental concerns. It threatens ecosystems and human societies. However, its impact on the economy and our living standards depends largely on our ability to anticipate its effects and take appropriate action. Earth System Models (ESMs), such as EC-Earth, can be used to provide society with information on the future climate. EC-Earth3 generates reliable predictions and projections of global climate change, which are a prerequisite to support the development of national adaptation and mitigation strategies. This project investigates methods to enhance the parallel capabilities of EC-Earth3 by offloading bottleneck routines to GPUs and Intel Xeon Phi coprocessors. To gain a full understanding of climate change at a regional scale will require EC-Earth3 to be run at a much higher spatial resolution (T3999 ~5km) than is currently feasible. It is envisaged that the work outlined in this project will provide climate scientists with valuable data for simulations planned for future exascale systems.