Articles | Volume 16, issue 3
https://doi.org/10.5194/gmd-16-977-2023
https://doi.org/10.5194/gmd-16-977-2023
Model description paper
 | 
08 Feb 2023
Model description paper |  | 08 Feb 2023

SERGHEI (SERGHEI-SWE) v1.0: a performance-portable high-performance parallel-computing shallow-water solver for hydrology and environmental hydraulics

Daniel Caviedes-Voullième, Mario Morales-Hernández, Matthew R. Norman, and Ilhan Özgen-Xian

Viewed

Total article views: 3,344 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,302 982 60 3,344 63 47
  • HTML: 2,302
  • PDF: 982
  • XML: 60
  • Total: 3,344
  • BibTeX: 63
  • EndNote: 47
Views and downloads (calculated since 08 Sep 2022)
Cumulative views and downloads (calculated since 08 Sep 2022)

Viewed (geographical distribution)

Total article views: 3,344 (including HTML, PDF, and XML) Thereof 3,192 with geography defined and 152 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 23 Jun 2024
Download
Short summary
This paper introduces the SERGHEI framework and a solver for shallow-water problems. Such models, often used for surface flow and flood modelling, are computationally intense. In recent years the trends to increase computational power have changed, requiring models to adapt to new hardware and new software paradigms. SERGHEI addresses these challenges, allowing surface flow simulation to be enabled on the newest and upcoming consumer hardware and supercomputers very efficiently.