Toward Ultrahigh-Resolution E3SM Land Modeling on Exascale Computers

Dali Wang; Peter Schwartz; Fengming Yuan; Peter Thornton; Weijian Zheng

doi:10.1109/MCSE.2022.3218990

Toward Ultrahigh-Resolution E3SM Land Modeling on Exascale Computers

Dali Wang, Peter Schwartz, Fengming Yuan, Peter Thornton, Weijian Zheng

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

We present an ultrahigh-resolution Energy Exascale Earth System Model Land Model (uELM) for high-fidelity land simulations targeting new exascale computers. After considering modeling infrastructure compatibility and ELM software features, we designed a parallel model for the uELM development targeting the hybrid architectures of new U.S. exascale computers. We also described a function unit test framework to expedite the piecewise code porting (with compiler directives), verification, and global variable management. Furthermore, in this study, we report the development of an early uELM model using OpenACC within a function unit test framework on a pre-exascale computer, demonstrate the performance of a uLEM submodel with three-times speedup, and summarize the code-porting experience regarding global variable handling, deepcopy, memory reduction, and parallel loop reconstruction.

Original language	English
Pages (from-to)	44-53
Number of pages	10
Journal	Computing in Science and Engineering
Volume	24
Issue number	6
DOIs	https://doi.org/10.1109/MCSE.2022.3218990
State	Published - Dec 1 2022

Funding

This research was supported as part of the E3SM project, funded by the U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research. This research used resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract DE-AC05-00OR22725.

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abstract = "We present an ultrahigh-resolution Energy Exascale Earth System Model Land Model (uELM) for high-fidelity land simulations targeting new exascale computers. After considering modeling infrastructure compatibility and ELM software features, we designed a parallel model for the uELM development targeting the hybrid architectures of new U.S. exascale computers. We also described a function unit test framework to expedite the piecewise code porting (with compiler directives), verification, and global variable management. Furthermore, in this study, we report the development of an early uELM model using OpenACC within a function unit test framework on a pre-exascale computer, demonstrate the performance of a uLEM submodel with three-times speedup, and summarize the code-porting experience regarding global variable handling, deepcopy, memory reduction, and parallel loop reconstruction.",

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Toward Ultrahigh-Resolution E3SM Land Modeling on Exascale Computers

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