GPU Optimisation of Local Time Stepping on Unstructured Adaptive Meshes

Dokumenttyp:: Konferenzbeitrag
Art des Konferenzbeitrags:: Vortrag / Präsentation
Autor(en):: Ravil Dorozhinskii; Michael Bader
Titel:: GPU Optimisation of Local Time Stepping on Unstructured Adaptive Meshes
Horizon 2020:: This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreements No 671698 and 823844.
Kongress- / Buchtitel:: SIAM Conference on Parallel Processing for Scientific Computing (PP22)
Datum der Konferenz:: February 23 - 26, 2022
Publikationsdatum:: 24.02.2022
Jahr:: 2022
Sprache:: en
Hinweise:: Minisymposium on Challenges in Parallel Adaptive Mesh Refinement
TUM Einrichtung:: Department of Informatics
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