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

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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.
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