Articles | Volume 15, issue 14
https://doi.org/10.5194/gmd-15-5757-2022
https://doi.org/10.5194/gmd-15-5757-2022
Development and technical paper
 | 
25 Jul 2022
Development and technical paper |  | 25 Jul 2022

Assessing the robustness and scalability of the accelerated pseudo-transient method

Ludovic Räss, Ivan Utkin, Thibault Duretz, Samuel Omlin, and Yuri Y. Podladchikov

Viewed

Total article views: 4,403 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,228 1,089 86 4,403 90 68
  • HTML: 3,228
  • PDF: 1,089
  • XML: 86
  • Total: 4,403
  • BibTeX: 90
  • EndNote: 68
Views and downloads (calculated since 13 Jan 2022)
Cumulative views and downloads (calculated since 13 Jan 2022)

Viewed (geographical distribution)

Total article views: 4,403 (including HTML, PDF, and XML) Thereof 4,134 with geography defined and 269 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
Continuum mechanics-based modelling of physical processes at large scale requires huge computational resources provided by massively parallel hardware such as graphical processing units. We present a suite of numerical algorithms, implemented using the Julia language, that efficiently leverages the parallelism. We demonstrate that our implementation is efficient, scalable and robust and showcase applications to various geophysical problems.