This title appears in the Scientific Report :
2016
Please use the identifier:
http://dx.doi.org/10.1109/LDAV.2015.7348089 in citations.
Tracking space-filling structures in turbulent flows
Tracking space-filling structures in turbulent flows
We present a novel approach for tracking space-filling features, i.e. a set of features which covers the entire domain. In contrast to previous work, we determine the assignment between features from successive time steps by computing a globally optimal, maximum-weight, maximal matching on a weighte...
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Personal Name(s): | Schnorr, Andrea |
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Gobbert, Jens Henrik / Kuhlen, Torsten / Hentschel, Bernd | |
Contributing Institute: |
Jülich Supercomputing Center; JSC JARA - HPC; JARA-HPC |
Published in: |
[Proceedings] - IEEE, 2015. - ISBN 978-1-4673-8517-6 |
Imprint: |
IEEE
2015
|
Physical Description: |
143-144 |
DOI: |
10.1109/LDAV.2015.7348089 |
Conference: | 2015 IEEE 5th Symposium on Large Data Analysis and Visualization (LDAV), Chicago (IL), 10/25/2015 - 10/26/2015 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
Computational Science and Mathematical Methods |
Publikationsportal JuSER |
We present a novel approach for tracking space-filling features, i.e. a set of features which covers the entire domain. In contrast to previous work, we determine the assignment between features from successive time steps by computing a globally optimal, maximum-weight, maximal matching on a weighted, bi-partite graph. We demonstrate the method's functionality by tracking dissipation elements (DEs), a space-filling structure definition from turbulent flow analysis. The abilitytotrack DEs over time enables researchers from fluid mechanics to extend their analysis beyond the assessment of static flow fields to time-dependent settings. |