Climate Model Computational Performance: State of the Practice

Session ID#: 119925

Session Description:
Coupled climate models present a singular challenge in terms of computational complexity and efficient utilization of state of the art supercomputing resources. There has been a Cambrian explosion of hardware architectures and associated software toolchains that are deployed or planned for the leadership-class supercomputers around the world. This has led to a multitude of programming and modeling approaches to target accelerators like Graphical Processing Units (GPUs) while incrementally integrating such sub-models for coupled climate model simulations.This session is intended to share current status of computational performance and best practices from diverse modeling groups. We solicit papers addressing computational performance of Earth system models preferably in real-world settings (production simulation campaigns in lieu of kernel benchmarks) with emphasis on metrics including model throughput, energy efficiency, I/O volume and read/write bandwidths etc. informed by initiatives like the CPMIP effort. Furthermore, we encourage submissions describing early performance from pathfinding work targeting future architectures.
Co-Sponsor(s):
  • WCRP: World Climate Research Programme -
Index Terms:

1906 Computational models, algorithms [INFORMATICS]
1932 High-performance computing [INFORMATICS]
1956 Numerical algorithms [INFORMATICS]


Primary Convener:  Sarat Sreepathi, Oak Ridge National Laboratory, Oak Ridge, TN, United States
Conveners:  Venkatramani Balaji, Geophysical Fluid Dynamics Laboratory, Princeton, United States, Phil Jones, Los Alamos National Laboratory, Los Alamos, NM, United States, Sadie Bartholomew, University of Reading, National Centre for Atmospheric Science, Reading, United Kingdom and Mario Acosta, Barcelona Supercomputing Center, Earth Sciences, Barcelona, Spain
Primary Liaison:  Sarat Sreepathi, Oak Ridge National Laboratory, Oak Ridge, TN, United States