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Tsunami and Storm Surge Simulation Using Low Power Architectures : Concept and Evaluation

Title data

Schoenwetter, D. ; Ditter, A. ; Kleinert, B. ; Hendricks, Arne ; Aizinger, Vadym ; Koestler, H. ; Fey, D.:
Tsunami and Storm Surge Simulation Using Low Power Architectures : Concept and Evaluation.
In: Obaidat, Mohammad S. (ed.): SIMULTECH 2015 : Proceedings of the 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications. Volume 1. - Setúbal : SCITEPRESS , 2015 . - pp. 377-382
ISBN 978-989-758-120-5
DOI: https://doi.org/10.5220/0005566603770382

Further data

Item Type: Article in a book
Refereed: Yes
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Scientific Computing
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Scientific Computing > Chair Scientific Computing - Univ.-Prof. Dr. Mario Bebendorf
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Professor Numerics of Partial Differential Equations
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Professor Numerics of Partial Differential Equations > Professor Numerics of Partial Differential Equations - Univ.-Prof. Dr. Vadym Aizinger
Research Institutions > Research Centres > Forschungszentrum für Modellbildung und Simulation (MODUS)
Research Institutions > Research Centres > Forschungszentrum für Wissenschaftliches Rechnen an der Universität Bayreuth - HPC-Forschungszentrum
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Research Institutions
Research Institutions > Research Centres
Result of work at the UBT: No
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
500 Science > 510 Mathematics
500 Science > 550 Earth sciences, geology
Date Deposited: 19 Sep 2019 08:27
Last Modified: 22 Feb 2022 14:19
URI: https://eref.uni-bayreuth.de/id/eprint/52286