Biological and Environmental Research - Earth and Environmental System Sciences
Earth and Environmental System Modeling

Compiler Technologies for Understanding Legacy Scientific Code

TitleCompiler Technologies for Understanding Legacy Scientific Code
Publication TypeJournal Article
Year of Publication2017
AuthorsWang, Dali, Pei Yu, Hernandez Oscar, Wu Wei, Yao Zhou, Kim Youngsung, Wolfe Michael, and Kitchen Ryan
JournalProcedia Computer Science
Volume108
Pages2418-2422
Abstract / Summary

The complexity of software systems have become a barrier for scientific model development and software modernization. In this study, we present a procedure to use compiler-based technologies to better understand complex scientific code. The approach requires no extra software installation and configuration and its software analysis can be transparent to developer and users. We designed a sample code to illustrate the data collection and analysis procedure from compiler technologies and showed a case study that used the information from interprocedure analysis to analyze a scientific function module extracted from an Earth System Model. We believe this study provides a new path to better understand legacy scientific code.

URLhttps://doi.org/10.1016/j.procs.2017.05.264
DOI10.1016/j.procs.2017.05.264
Journal: Procedia Computer Science
Year of Publication: 2017
Volume: 108
Pages: 2418-2422
Publication Date: 01/2017

The complexity of software systems have become a barrier for scientific model development and software modernization. In this study, we present a procedure to use compiler-based technologies to better understand complex scientific code. The approach requires no extra software installation and configuration and its software analysis can be transparent to developer and users. We designed a sample code to illustrate the data collection and analysis procedure from compiler technologies and showed a case study that used the information from interprocedure analysis to analyze a scientific function module extracted from an Earth System Model. We believe this study provides a new path to better understand legacy scientific code.

DOI: 10.1016/j.procs.2017.05.264
Citation:
Wang, D, Y Pei, O Hernandez, W Wu, Z Yao, Y Kim, M Wolfe, and R Kitchen.  2017.  "Compiler Technologies for Understanding Legacy Scientific Code."  Procedia Computer Science 108: 2418-2422.  https://doi.org/10.1016/j.procs.2017.05.264.