Articles | Volume 15, issue 14
Geosci. Model Dev., 15, 5757–5786, 2022
https://doi.org/10.5194/gmd-15-5757-2022
Geosci. Model Dev., 15, 5757–5786, 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 et al.

Download

Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2021-411', Lawrence Hongliang Wang, 10 Feb 2022
    • AC1: 'Reply on RC1', Ludovic Räss, 16 May 2022
  • RC2: 'Comment on gmd-2021-411', Anonymous Referee #2, 29 Apr 2022
    • AC2: 'Reply on RC2', Ludovic Räss, 16 May 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Ludovic Räss on behalf of the Authors (16 May 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (17 May 2022) by James Kelly
RR by Boris Kaus (08 Jun 2022)
RR by Anonymous Referee #2 (21 Jun 2022)
ED: Publish subject to minor revisions (review by editor) (21 Jun 2022) by James Kelly
AR by Ludovic Räss on behalf of the Authors (28 Jun 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (28 Jun 2022) by James Kelly
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.