The Simple Cloud-Resolving E3SM Atmosphere Model Running on the Frontier Exascale System

Mark Taylor,Peter M. Caldwell, Luca Bertagna, Conrad Clevenger,Aaron Donahue, James Foucar, Oksana Guba, Benjamin Hillman,Noel Keen,Jayesh Krishna, Matthew Norman,Sarat Sreepathi,Christopher Terai, James B. White,Andrew G Salinger, Renata B McCoy,Lai-yung Ruby Leung,David C. Bader, Danqing Wu

SC '23: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis(2023)

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摘要
We present an efficient and performance portable implementation of the Simple Cloud Resolving E3SM Atmosphere Model (SCREAM). SCREAM is a full featured atmospheric global circulation model with a nonhydrostatic dynamical core and state-of-the-art parameterizations for microphysics, moist turbulence and radiation. It has been written from scratch in C++ with the Kokkos library used to abstract the on-node execution model for both CPUs and GPUs. SCREAM is one of only a few global atmosphere models to be ported to GPUs. As far as we know, SCREAM is the first such model to run on both AMD GPUs and NVIDIA GPUs, as well as the first to run on nearly an entire Exascale system (Frontier). On Frontier, we obtained a record setting performance of 1.26 simulated years per day for a realistic cloud resolving simulation.
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关键词
atmospheric modeling,global cloud resolving,high performance computing,exascale,GPU
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