Discrete mesh optimization on GPU

Beitrag bei einer Tagung

Details zur Publikation

Autorinnen und Autoren: Zint D, Grosso R
Herausgeber: Adrien Loseille, Xevi Roca
Verlag: Springer Verlag
Jahr der Veröffentlichung: 2019
Band: 127
Tagungsband: Lecture Notes in Computational Science and Engineering
Seitenbereich: 445-460
ISBN: 9783030139919
ISSN: 1439-7358


We present an algorithm called discrete mesh optimization (DMO), a greedy approach to topology-consistent mesh quality improvement. The method requires a quality metric for all element types that appear in a given mesh. It is easily adaptable to any mesh and metric as it does not rely on differentiable functions. We give examples for triangle, quadrilateral, and tetrahedral meshes and for various metrics. The method improves quality iteratively by finding the optimal position for each vertex on a discretized domain. We show that DMO outperforms other state of the art methods in terms of convergence and runtime.

FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Grosso, Roberto Dr.
Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)
Zint, Daniel
Lehrstuhl für Informatik 9 (Graphische Datenverarbeitung)


Zint, D., & Grosso, R. (2019). Discrete mesh optimization on GPU. In Adrien Loseille, Xevi Roca (Eds.), Lecture Notes in Computational Science and Engineering (pp. 445-460). Albuquerque, NM, US: Springer Verlag.

Zint, Daniel, and Roberto Grosso. "Discrete mesh optimization on GPU." Proceedings of the 27th International Meshing Roundtable, IMR 2018, Albuquerque, NM Ed. Adrien Loseille, Xevi Roca, Springer Verlag, 2019. 445-460.


Zuletzt aktualisiert 2019-29-07 um 13:23