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Wang, D.L., Schwartz, P., Yuan, F.M., Thornton, P. and Zheng, W.J. (2022) Towards Ultra-High-Resolution E3SM Land Modeling on Exascale Computers. Computing in Science & Engineering, 1, 1-14.

has been cited by the following article:

• TITLE: Script-Based GPU-Ready ELM Development for Continuous Code Integration

  AUTHORS: Peter Schwartz, Dali Wang, Fengming Yuan, Peter Thornton

  KEYWORDS: E3SM Land Model, GPU Code Porting, Continuous Code Integration, SPEL, Scientific Software Refactorization

  JOURNAL NAME: Journal of Computer and Communications, Vol.12 No.5, May 27, 2024

  ABSTRACT: Designing and optimizing complex scientific code for new computing architectures is a challenging task. To address this issue in the E3SM land model (ELM) development, we developed a software tool called SPEL, which facilitates code generation, verification, and performance tuning using compiler directives within a Function Unit Test framework. In this paper, we present a SPEL extension that leverages the version control system (e.g., Git) to autonomous code generation and demonstrate its application to continuous code integration and development of the ELM software system. The study can benefit the scientific software development community.