Journal
INTERNATIONAL JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS
Volume 36, Issue 1, Pages 93-105Publisher
SAGE PUBLICATIONS LTD
DOI: 10.1177/10943420211027539
Keywords
climate; clouds; GPU; OpenACC
Categories
Funding
- Exascale Computing Project [17SC-20-SC]
- US Department of Energy Office of Science
- National Nuclear Security Administration
- Energy Exascale Earth System Model (E3SM) project
- US Department of Energy, Office of Science, Office of Biological and Environmental Research
- Oak Ridge Leadership Computing Facility [DE-AC05-00OR22725]
- US Department of Energy by Lawrence Livermore National Laboratory [DE-AC52-07NA27344]
- US Department of Energy's National Nuclear Security Administration [DE-NA0003525]
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This study utilizes the Multi-scale Modeling Framework (MMF) to enhance cloud effects representation in Global Climate Models (GCM), embedding high-resolution Cloud Resolving Models (CRMs). Porting code to GPUs and running on Summit supercomputer, the performance of E3SM-MMF code in large-scale climate simulation is demonstrated.
Clouds represent a key uncertainty in future climate projection. While explicit cloud resolution remains beyond our computational grasp for global climate, we can incorporate important cloud effects through a computational middle ground called the Multi-scale Modeling Framework (MMF), also known as Super Parameterization. This algorithmic approach embeds high-resolution Cloud Resolving Models (CRMs) to represent moist convective processes within each grid column in a Global Climate Model (GCM). The MMF code requires no parallel data transfers and provides a self-contained target for acceleration. This study investigates the performance of the Energy Exascale Earth System Model-MMF (E3SM-MMF) code on the OLCF Summit supercomputer at an unprecedented scale of simulation. Hundreds of kernels in the roughly 10K lines of code in the E3SM-MMF CRM were ported to GPUs with OpenACC directives. A high-resolution benchmark using 4600 nodes on Summit demonstrates the computational capability of the GPU-enabled E3SM-MMF code in a full physics climate simulation.
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