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Shallow water simulations on complex ocean domains using block-structured grids

Title data

Faghih-Naini, Sara ; Zint, Daniel ; Kuckuk, Sebastian ; Kemmler, Samuel ; Aizinger, Vadym ; Grosso, Roberto ; Köstler, Harald:
Shallow water simulations on complex ocean domains using block-structured grids.
2022
Event: Platform for Advanced Scientific Computing (PASC) Conference 2022 , 27.-29. June 2022 , Basel, Switzerland.
(Conference item: Conference , Poster )

Project information

Project title:
Project's official titleProject's id
Performance optimized software strategies for unstructured-mesh applications in ocean modelingNo information

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

Real-world ocean domains often have complex geometry and topography and are thus best suited for unstructured-mesh discretizations. However, structured grids offer performance advantages on cache-based architectures due to regular memory accesses. To combine the geometrical flexibility of unstructured meshes with the performance benefits of structured ones, we developed a block-structured grid generator for realistic ocean domains. In order to be able to represent correctly small features such as small islands and narrow channels, we enhance our methodology by allowing the generated grids to cover a larger area than the actual computational domain and introduce masking to exclude excessive grid elements.
The automatically generated block-structured grids are used for simulations with GHODDESS, a code generation framework based on ExaStencils which discretizes the shallow water equations by a quadrature-free discontinuous Galerkin method.
A key feature of the grid generation with regard to high performance computing is the ability to exactly specify a required number of blocks, i.e. load imbalances can be avoided. We validate our approach by comparing the simulation results on unstructured and masked block-structured grids for complex ocean domains and present performance studies for our new methodology.

Further data

Item Type: Conference item (Poster)
Refereed: No
Institutions of the University: Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
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 > 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 Institutions > Research Centres
Research Institutions > Research Centres > Forschungszentrum für Modellbildung und Simulation (MODUS)
Research Institutions > Research Centres > Forschungszentrum für Wissenschaftliches Rechnen an der Universität Bayreuth - HPC-Forschungszentrum
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works
000 Computer Science, information, general works > 004 Computer science
500 Science
500 Science > 500 Natural sciences
500 Science > 510 Mathematics
500 Science > 550 Earth sciences, geology
600 Technology, medicine, applied sciences
600 Technology, medicine, applied sciences > 600 Technology
Date Deposited: 14 Oct 2022 05:48
Last Modified: 14 Oct 2022 05:48
URI: https://eref.uni-bayreuth.de/id/eprint/72431