Compiler technologies for understanding legacy scientific code: A case study on an ACME land module

Dali Wang; Yu Pei; Oscar Hernandez; Wei Wu; Zhou Yao; Youngsung Kim; Michael Wolfe; Ryan Kitchen

doi:10.1016/j.procs.2017.05.264

Compiler technologies for understanding legacy scientific code: A case study on an ACME land module

Dali Wang, Yu Pei, Oscar Hernandez, Wei Wu, Zhou Yao, Youngsung Kim, Michael Wolfe, Ryan Kitchen

Programming Systems

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	2418-2422
Number of pages	5
Journal	Procedia Computer Science
Volume	108
DOIs	https://doi.org/10.1016/j.procs.2017.05.264
State	Published - 2017
Event	International Conference on Computational Science ICCS 2017 - Zurich, Switzerland Duration: Jun 12 2017 → Jun 14 2017

Funding

This research was funded by the DOE Biological and Environmental Research (Accelerated Climate Mod-eling for Energy and Terrestrial Ecosystem Science) and LDRD 8277 from Oak Ridge National Lab.

Funders	Funder number
Biological and Environmental Research	LDRD 8277
Oak Ridge National Laboratory

Keywords

Compiler Technology
Functional Unit Test
Kernel Extraction
Legacy Scientific Code

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10.1016/j.procs.2017.05.264

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title = "Compiler technologies for understanding legacy scientific code: A case study on an ACME land module",

abstract = "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.",

keywords = "Compiler Technology, Functional Unit Test, Kernel Extraction, Legacy Scientific Code",

author = "Dali Wang and Yu Pei and Oscar Hernandez and Wei Wu and Zhou Yao and Youngsung Kim and Michael Wolfe and Ryan Kitchen",

year = "2017",

doi = "10.1016/j.procs.2017.05.264",

language = "English",

volume = "108",

pages = "2418--2422",

journal = "Procedia Computer Science",

issn = "1877-0509",

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note = "International Conference on Computational Science ICCS 2017 ; Conference date: 12-06-2017 Through 14-06-2017",

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TY - JOUR

T1 - Compiler technologies for understanding legacy scientific code

T2 - International Conference on Computational Science ICCS 2017

AU - Wang, Dali

AU - Pei, Yu

AU - Hernandez, Oscar

AU - Wu, Wei

AU - Yao, Zhou

AU - Kim, Youngsung

AU - Wolfe, Michael

AU - Kitchen, Ryan

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Compiler Technology

KW - Functional Unit Test

KW - Kernel Extraction

KW - Legacy Scientific Code

UR - http://www.scopus.com/inward/record.url?scp=85027317814&partnerID=8YFLogxK

U2 - 10.1016/j.procs.2017.05.264

DO - 10.1016/j.procs.2017.05.264

M3 - Conference article

AN - SCOPUS:85027317814

SN - 1877-0509

VL - 108

SP - 2418

EP - 2422

JO - Procedia Computer Science

JF - Procedia Computer Science

Y2 - 12 June 2017 through 14 June 2017

ER -

Compiler technologies for understanding legacy scientific code: A case study on an ACME land module

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