Unprecedented cloud resolution in a GPU-enabled full-physics atmospheric climate simulation on OLCF’s summit supercomputer
| Autor: | Xingqiu Yuan, Walter M. Hannah, L. R. Leung, Christopher Eldred, Isaac Lyngaas, Mark A. Taylor, B. R. Hillman, Sarat Sreepathi, David A Bader, Matthew R. Norman, Kyle G. Pressel, J. Lee, C. R. Jones |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
geography
Summit geography.geographical_feature_category 010504 meteorology & atmospheric sciences Meteorology Global climate business.industry Computer science GRASP Cloud computing 010103 numerical & computational mathematics Resolution (logic) Supercomputer 01 natural sciences Theoretical Computer Science Hardware and Architecture 0101 mathematics business Projection (set theory) Climate simulation Software 0105 earth and related environmental sciences |
| Zdroj: | The International Journal of High Performance Computing Applications. 36:93-105 |
| ISSN: | 1741-2846 1094-3420 |
| DOI: | 10.1177/10943420211027539 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|