학술논문
The Simple Cloud-Resolving E3SM Atmosphere Model Running on the Frontier Exascale System
Document Type
Conference
Author
Taylor, Mark A.; Caldwell, Peter M.; Bertagna, Luca; Clevenger, Conrad; Donahue, Aaron S.; Foucar, James G.; Guba, Oksana; Hillman, Benjamin R.; Keen, Noel; Krishna, Jayesh; Norman, Matthew R.; Sreepathi, Sarat; Terai, Christopher R.; White, James B.; Wu, Danqing; Salinger, Andrew G.; McCoy, Renata B.; Leung, L. Ruby; Bader, David C.
Source
SC23: International Conference for High Performance Computing, Networking, Storage and Analysis High Performance Computing, Networking, Storage and Analysis, SC23: International Conference for. :1-11 Nov, 2023
Subject
Language
ISSN
2167-4337
Abstract
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.