Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 2
Articles | Volume 17, issue 2
https://doi.org/10.5194/gmd-17-899-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-899-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 2
Development and technical paper
 | 
02 Feb 2024
Development and technical paper |  | 02 Feb 2024

Graphics-processing-unit-accelerated ice flow solver for unstructured meshes using the Shallow-Shelf Approximation (FastIceFlo v1.0.1)

Anjali Sandip, Ludovic Räss, and Mathieu Morlighem

Viewed

Total article views: 1,964 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,445 439 80 1,964 72 123
  • HTML: 1,445
  • PDF: 439
  • XML: 80
  • Total: 1,964
  • BibTeX: 72
  • EndNote: 123
Views and downloads (calculated since 10 May 2023)
Cumulative views and downloads (calculated since 10 May 2023)

Viewed (geographical distribution)

Total article views: 1,964 (including HTML, PDF, and XML) Thereof 1,934 with geography defined and 30 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 24 Oct 2025
Download
Short summary
We solve momentum balance for unstructured meshes to predict ice flow for real glaciers using a pseudo-transient method on graphics processing units (GPUs) and compare it to a standard central processing unit (CPU) implementation. We justify the GPU implementation by applying the price-to-performance metric for up to million-grid-point spatial resolutions. This study represents a first step toward leveraging GPU processing power, enabling more accurate polar ice discharge predictions.
Read more
Share