Abstract
This paper presents advancements in scaling the ultrahigh-resolution E3SM Land Model (uELM) for deployment on leadership-class supercomputers, addressing the increased demand for km-scale Earth system modeling. By focusing on km-scale ELM simulations, we enhance predictive capabilities for climate interactions, facilitating improved responses to climate change impacts on energy systems, agriculture, and water resources. Our approach leverages innovative software architecture optimizations, sophisticated data handling techniques, and advanced parallel processing, achieving strong scalability on two leadership supercomputers (2400 nodes (105,600 cores) on Summit, and 1200 nodes (76,800 cores) on Frontier). Results from extensive scalability assessments on the Summit and Frontier also demonstrate outstanding I/O performance (close to 400 GB/s write throughput) and the model's ability to efficiently handle increasing computational demands. This study not only establishes uELM's capability for high-resolution simulations over vast geographical domains, but also sets a foundation for future Earth system modeling breakthroughs.
| Original language | English |
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| Title of host publication | Proceedings - 2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2025 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 252-255 |
| Number of pages | 4 |
| ISBN (Electronic) | 9798331509385 |
| DOIs | |
| State | Published - 2025 |
| Event | 25th IEEE International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2025 - Tromso, Norway Duration: May 19 2025 → May 22 2025 |
Publication series
| Name | Proceedings - 2025 IEEE 25th International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2025 |
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Conference
| Conference | 25th IEEE International Symposium on Cluster, Cloud and Internet Computing Workshops, CCGridW 2025 |
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| Country/Territory | Norway |
| City | Tromso |
| Period | 05/19/25 → 05/22/25 |
Funding
This research was supported as part of the Energy Exascale Earth System Model (E3SM) project funded by DOE s Office of Science, Office of Biological and Environmental Research. This project leverages Daymet data product funded by NASA. This research used resources of the Oak Ridge Leadership Computing Facility, which are supported by the DOE s Office of Science under Contract No. DE-AC05-00OR22725. This work was also partially supported by the LLNL-LDRD Program DOE s Lawrence Livermore National Laboratory (under Contract DE-AC52-07NA27344). LLNL-PROC-872483.
Keywords
- E3SM Land Model
- Energy Exascale Earth System Model (E3SM)
- Parallel I/O
- Scalability