To exascale and beyond – The Simple Cloud-Resolving E3SM Atmosphere Model (SCREAM), a performance portable global atmosphere model for cloud-resolving scales
Aaron S. Donahue, Peter Caldwell, Luca Bertagna, Hassan Beydoun, Peter Bogenschutz, Andrew Bradley, Thomas C Clevenger, James Foucar, Jean‐Christophe Golaz, Oksana Guba, Walter M. Hannah, Benjamin Hillman, Jeffrey Johnson, Noel D. Keen, Wuyin Lin, Balwinder Singh, Mark A. Taylor, Jingjing Tian, Christopher R. Terai, Paul Ullrich, Xingqiu Yuan, Yunyan Zhang
Abstract
The new generation of heterogeneous CPU/GPU computer systems offer much greater computational performance but are not yet widely used for climate modeling. One reason for this is that traditional climate models were written before GPUs were available and would require an extensive overhaul to run on these new machines. In addition, even conventional “high–resolution’ simulations don’t provide enough parallel work to keep GPUs busy, so the benefits of such overhaul would be limited for the types of simulations climate scientists are accustomed to. The vision of the Simple Cloud-Resolving Energy Exascale Earth System (E3SM) Atmosphere Model (SCREAM) project is to create a global atmospheric model with the architecture to efficiently use GPUs and horizontal resolution sufficient to fully take advantage of GPU parallelism. After 5 yrs of model development, SCREAM is finally ready for use. In this paper, we describe the design of this new code, its performance on both CPU and heterogeneous machines, and its ability to simulate real-world climate via a set of four 40 day simulations covering all 4 seasons of the year.