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.

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",

publisher = "Elsevier",

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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