asQ: parallel-in-time finite element simulations using ParaDiag for geoscientific models and beyond

Hope-Collins, Joshua; Hamdan, Abdalaziz; Bauer, Werner; Mitchell, Lawrence; Cotter, Colin

doi:https://doi.org/10.5194/gmd-18-4535-2025

Articles | Volume 18, issue 14

https://doi.org/10.5194/gmd-18-4535-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-18-4535-2025

© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 18, issue 14

Model description paper

| Highlight paper

|

25 Jul 2025

Model description paper | Highlight paper |

| 25 Jul 2025

asQ: parallel-in-time finite element simulations using ParaDiag for geoscientific models and beyond

Joshua Hope-Collins, Abdalaziz Hamdan, Werner Bauer, Lawrence Mitchell, and Colin Cotter

Model code and software

Python scripts for "asQ: parallel-in-time finite element simulations using ParaDiag for geoscientific models and beyond" Joshua Hope-Collins et al. https://doi.org/10.5281/zenodo.14198293

Singularity container for "asQ: parallel-in-time finite element simulations using ParaDiag for geoscientific models and beyond" Joshua Hope-Collins et al. https://doi.org/10.5281/zenodo.14198328

Software used in `asQ: parallel-in-time finite element simulations using ParaDiag for geoscientific models and beyond' Firedrake team https://doi.org/10.5281/zenodo.14205088

asQ v0.1 release Joshua Hope-Collins et al. https://doi.org/10.5281/zenodo.14592040

Executive editor

Parallelization is important for speeding up complex geoscientific models. In addition to spatial parallelization, several parallel-in-time (PinT) methods have been developed. This paper introduces the reader to PinT methods for hyperbolic and geophysical models, and it presents the asQ library which facilitates the implementation of diagonalization-based (ParaDiag) methods.