Fractional factorial design for parameter sweep experiments using Nimrod/E

Peachey, T. C., Diamond, N. T., Abramson, D. A., Sudholt, W., Michailova, A. and Amirriazi, S. (2008) Fractional factorial design for parameter sweep experiments using Nimrod/E. Scientific Programming, 16 2-3: 217-230. doi:10.3233/SPR-2008-0250

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Author Peachey, T. C.
Diamond, N. T.
Abramson, D. A.
Sudholt, W.
Michailova, A.
Amirriazi, S.
Title Fractional factorial design for parameter sweep experiments using Nimrod/E
Journal name Scientific Programming   Check publisher's open access policy
ISSN 1058-9244
Publication date 2008
Sub-type Article (original research)
DOI 10.3233/SPR-2008-0250
Open Access Status DOI
Volume 16
Issue 2-3
Start page 217
End page 230
Total pages 14
Place of publication Amsterdam, Netherlands
Publisher I O S Press
Language eng
Subject 1708 Hardware and Architecture
Abstract The techniques of formal experimental design and analysis are powerful tools for scientists and engineers. However, these techniques are currently underused for experiments conducted with computer models. This has motivated the incorporation of experimental design functionality into the Nimrod tool chain. Nimrod has been extensively used for exploration of the response of models to their input parameters; the addition of experimental design tools will combine the efficiency of carefully designed experiments with the power of distributed execution. This paper describes the incorporation of one type of design, the fractional factorial design, and associated analysis tools, into the Nimrod framework. The result provides a convenient environment that automates the design of an experiment, the execution of the jobs on a computational grid and the return of results, and which assists in the interpretation of those results. Several case studies are included which demonstrate various aspects of this approach.
Keyword Computer models
Distributed execution
Experimental design
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Information Technology and Electrical Engineering Publications
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Citation counts: TR Web of Science Citation Count  Cited 5 times in Thomson Reuters Web of Science Article | Citations
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