Abstract
Sensitivity Analysis is widely used in numerical simulations applied in industry. The robustness of such applications is crucial, which means that they have to be fast and precise at the same. However, conventional approach to Sensitivity Analysis assumes realization of multiple execution of computationally intensive simulations to discover input/output dependencies. In this paper we present approach based on Scalarm platform, allowing to accelerate Sensitivity Analysis calculations by using modern e-infrastructures for distribution and parallelization purposes. The paper contains both description of the proposed solution and results obtained for a selected industrial case study.
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Acknowledgments
This research is supported by the European Regional Development Fund program no. POIG.02.03.00-12-138/13 as part of the PLGrid NG. The creation of numerical simulations of cranckshaft cooling is supported by NCBiR project no. PBS1/B6/3/2012.
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Bachniak, D., Liput, J., Rauch, L., Słota, R., Kitowski, J. (2016). Massively Parallel Approach to Sensitivity Analysis on HPC Architectures by Using Scalarm Platform. In: Wyrzykowski, R., Deelman, E., Dongarra, J., Karczewski, K., Kitowski, J., Wiatr, K. (eds) Parallel Processing and Applied Mathematics. PPAM 2015. Lecture Notes in Computer Science(), vol 9573. Springer, Cham. https://doi.org/10.1007/978-3-319-32149-3_17
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DOI: https://doi.org/10.1007/978-3-319-32149-3_17
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