in the repository
URN to cite this document: urn:nbn:de:bvb:703-epub-8909-0
Title data
Faghih-Naini, Sara ; Aizinger, Vadym ; Kuckuk, Sebastian ; Angersbach, Richard ; Köstler, Harald:
p-adaptive discontinuous Galerkin method for the shallow water equations on heterogeneous computing architectures.
In: GEM : International Journal on Geomathematics.
Vol. 16
(2025)
.
- 8.
ISSN 1869-2672
DOI der Verlagsversion: https://doi.org/10.1007/s13137-025-00267-2
![[thumbnail of s13137-025-00267-2.pdf]](https://epub.uni-bayreuth.de/style/images/fileicons/application_pdf.png) |
|
||||||||
|
Download (8MB)
|
Project information
| Project title: |
Project's official title Project's id Rechenleistungsoptimierte Software-Strategien für auf unstrukturierten Gittern basierende Anwendungen in der Ozeanmodellierung 320126236 Open Access Publizieren No information |
|---|---|
| Project financing: |
Deutsche Forschungsgemeinschaft |
Abstract
Heterogeneous computing and exploiting integrated CPU–GPU architectures has become a clear current trend since the flattening of Moore’s Law. In this work, we propose a numerical and algorithmic re-design of a p-adaptive quadrature-free discontinuous Galerkin (DG) method for the shallow water equations. Our new approach separates the computations of the non-adaptive (lower-order) and adaptive (higher-order) parts of the discretization from each other. Thereby, we can overlap computations of the lower-order and the higher-order DG solution components. Furthermore, we investigate execution times of main computational kernels and use automatic code generation to optimize their distribution between the CPU and GPU. Several setups, including a prototype of a tsunami simulation in a tide-driven flow scenario, are investigated, and the results show that significant performance improvements can be achieved in suitable setups.
Download Statistics