Weber, Daniel ; Mueller-Roemer, Johannes Sebastian ; Ferreira, Stephanie ; Besler, Sebastian ; Stork, André (2023)
GPU-accelerated Optimization with Structural Analysis.
International Association for the Engineering Analysis Community (NAFEMS World Congress) 2023. Tampa, Florida (15.05.2023 - 18.05.2023)
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
In this work we demonstrate how optimization scenarios can benefit from GPU-accelerated structural analysis simulations with examples in the domains design of experiment, topology optimization and multi-phase topology optimization. We show that it is important to also come up with a GPU-accelerated optimization algorithm to minimize overall run times. With an efficient novel linear solver, the resulting speedups enable in-situ optimizations, i.e., the possibility to inspect the optimization algorithm during run time enabling to gather a deeper understanding of the algorithms or to abort optimization runs earlier if configurations have been specified incorrectly.
Typ des Eintrags: | Konferenzveröffentlichung |
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Erschienen: | 2023 |
Autor(en): | Weber, Daniel ; Mueller-Roemer, Johannes Sebastian ; Ferreira, Stephanie ; Besler, Sebastian ; Stork, André |
Art des Eintrags: | Bibliographie |
Titel: | GPU-accelerated Optimization with Structural Analysis |
Sprache: | Englisch |
Publikationsjahr: | 17 Mai 2023 |
Veranstaltungstitel: | International Association for the Engineering Analysis Community (NAFEMS World Congress) 2023 |
Veranstaltungsort: | Tampa, Florida |
Veranstaltungsdatum: | 15.05.2023 - 18.05.2023 |
Kurzbeschreibung (Abstract): | In this work we demonstrate how optimization scenarios can benefit from GPU-accelerated structural analysis simulations with examples in the domains design of experiment, topology optimization and multi-phase topology optimization. We show that it is important to also come up with a GPU-accelerated optimization algorithm to minimize overall run times. With an efficient novel linear solver, the resulting speedups enable in-situ optimizations, i.e., the possibility to inspect the optimization algorithm during run time enabling to gather a deeper understanding of the algorithms or to abort optimization runs earlier if configurations have been specified incorrectly. |
Freie Schlagworte: | Computer simulation, Finite element analysis, Optimization |
Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme |
Hinterlegungsdatum: | 09 Jul 2024 09:07 |
Letzte Änderung: | 09 Jul 2024 09:07 |
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