Sensitivity analysis on HPC systems with Scalarm platform

Summary Sensitivity analysis is widely used in numerical simulations applied in industry. The robustness of such applications is crucial, which means they have to be fast and precise at the same time. However, the conventional approach to sensitivity analysis assumes realization of multiple executio...

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Bibliographic Details
Published in:Concurrency and computation 2017-05, Vol.29 (9), p.np-n/a
Main Authors: Bachniak, Daniel, Rauch, Lukasz, Król, Dariusz, Liput, Jakub, Słota, Renata, Kitowski, Jacek, Pietrzyk, Maciej
Format: Article
Language:English
Subjects:
Computation
Computer simulation
Concurrency
data farming
e‐infrastructure
industrial application
Mathematical models
Parallel processing
Parameter sensitivity
Platforms
Robustness (mathematics)
Sensitivity analysis
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Summary:Summary Sensitivity analysis is widely used in numerical simulations applied in industry. The robustness of such applications is crucial, which means they have to be fast and precise at the same time. However, the conventional approach to sensitivity analysis assumes realization of multiple execution of computationally intensive simulations to discover input/output dependencies. In this paper, we present a novel computational approach for performing large‐scale sensitivity analysis integrated with an extended platform for parameter studies – Scalarm – to make use of modern e‐infrastructures for distribution and parallelization purposes, profitable for complicated industrial problems. Copyright © 2016 John Wiley & Sons, Ltd.
ISSN:1532-0626
1532-0634
DOI:10.1002/cpe.4025