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Title:

Prediction and reduction of runtime in non-intrusive forward UQ simulations

Document type:
Zeitschriftenaufsatz
Author(s):
Florian Künzner; Tobias Neckel; Hans-Joachim Bungartz
Abstract:
To foster predictive simulations, a variety of methods have recently been developed to efficiently tackle uncertainty quantification (UQ) in complex, computational intensive problems. Many of these methods are non-intrusive and, thus, result in a (large) number of embarrassingly parallel black-box evaluations of the underlying simulation codes. While the focus of development is typically on the number of black-box evaluations, which represents the bulk of the computational workload, an additiona...     »
Keywords:
Uncertainty quantification, High-performance computing systems, Scheduling, Runtime prediction, Runtime reduction
Dewey Decimal Classification:
000 Informatik, Wissen, Systeme; 500 Naturwissenschaften; 510 Mathematik
Journal title:
SN Applied Sciences
Year:
2019
Year / month:
2019-08
Quarter:
3. Quartal
Month:
Aug
Reviewed:
ja
Language:
en
Fulltext / DOI:
doi:10.1007/s42452-019-1066-3
WWW:
https://rdcu.be/bQ0Hk
Publisher:
Springer Nature
Status:
Erstveröffentlichung
Submitted:
13.06.2019
Accepted:
08.08.2019
Date of publication:
16.08.2019
TUM Institution:
Department of Informatics
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