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Enabling hybrid tree-based Adaptive Mesh Refinement using Pyramids

Knapp, David and Holke, Johannes and Burstedde, Carsten (2022) Enabling hybrid tree-based Adaptive Mesh Refinement using Pyramids. In: SIAM Conference on Parallel Processing for Scientific Computing. SIAM Conference on Parallel Processing for Scientific Computing, 23.-26. Feb. 2022, Seattle.

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Abstract

We present a space-filling curve for pyramids to enable fully hybrid adaptive mesh refinement. The SFC is based on the tetrahedral Morton-curve. We show how to solve the difficulty, that a pyramid divides into pyramids and tetrahedral and how to reuse the already existing SFC for the tetrahedral children of a pyramid. Our results proof, that the algorithms scale very good and that our algorithms are efficient.

Item URL in elib:https://elib.dlr.de/185505/
Document Type:Conference or Workshop Item (Speech)
Title:Enabling hybrid tree-based Adaptive Mesh Refinement using Pyramids
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Knapp, DavidGerman Aerospace Center (DLR), Linder Höhe, 51147 Köln, Germanyhttps://orcid.org/0000-0002-6305-1572
Holke, JohannesGerman Aerospace Center (DLR), Linder Höhe, 51147 Köln, Germanyhttps://orcid.org/0000-0002-2783-3286
Burstedde, CarstenInstitut für Numerische Simulation (INS), Endenicher Allee 19b, 53115 Bonn, Germanyhttps://orcid.org/0000-0001-9843-1041
Date:February 2022
Journal or Publication Title:SIAM Conference on Parallel Processing for Scientific Computing
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:AMR, Pyramids, SFC, tree-based AMR, t8code, HPC, Parallel Computing
Event Title:SIAM Conference on Parallel Processing for Scientific Computing
Event Location:Seattle
Event Type:international Conference
Event Dates:23.-26. Feb. 2022
Organizer:Society for Industrial and Applied Mathematics
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space System Technology
DLR - Research area:Raumfahrt
DLR - Program:R SY - Space System Technology
DLR - Research theme (Project):R - Tasks SISTEC
Location: Köln-Porz
Institutes and Institutions:Institute for Software Technology > High-Performance Computing
Institute for Software Technology
Deposited By: Knapp, David
Deposited On:25 May 2022 10:37
Last Modified:25 May 2022 10:37

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