Articles | Volume 9, issue 10
https://doi.org/10.5194/gmd-9-3803-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/gmd-9-3803-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Development and technical paper
| 
27 Oct 2016
Development and technical paper |
| 27 Oct 2016
A structure-exploiting numbering algorithm for finite elements on extruded meshes, and its performance evaluation in Firedrake
Gheorghe-Teodor Bercea
CORRESPONDING AUTHOR
Department of Computing, Imperial College London, London, SW7 2AZ, UK
Andrew T. T. McRae
The Grantham Institute, Imperial College London, London, SW7 2AZ, UK
Department of Mathematics, Imperial College London, London, SW7 2AZ, UK
Department of Mathematical Sciences, University of Bath, Bath, BA2 7AY, UK
David A. Ham
Department of Mathematics, Imperial College London, London, SW7 2AZ, UK
Lawrence Mitchell
Department of Computing, Imperial College London, London, SW7 2AZ, UK
Department of Mathematics, Imperial College London, London, SW7 2AZ, UK
Florian Rathgeber
Department of Computing, Imperial College London, London, SW7 2AZ, UK
European Centre for Medium-Range Weather Forecasts (ECMWF), Reading, RG2 9AX, UK
Luigi Nardi
Department of Computing, Imperial College London, London, SW7 2AZ, UK
Fabio Luporini
Department of Computing, Imperial College London, London, SW7 2AZ, UK
Paul H. J. Kelly
Department of Computing, Imperial College London, London, SW7 2AZ, UK
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Cited
15 citations as recorded by crossref.
- A compatible finite‐element discretisation for the moist compressible Euler equations T. Bendall et al. 10.1002/qj.3841
- Composable block solvers for the four-field double porosity/permeability model M. Joshaghani et al. 10.1016/j.jcp.2019.02.020
- Thetis coastal ocean model: discontinuous Galerkin discretization for the three-dimensional hydrostatic equations T. Kärnä et al. 10.5194/gmd-11-4359-2018
- A MATLAB Script for Solving 2D/3D Minimum Compliance Problems using Anisotropic Mesh Adaptation K. Jensen 10.1016/j.proeng.2017.09.792
- Energy conserving SUPG methods for compatible finite element schemes in numerical weather prediction G. Wimmer et al. 10.5802/smai-jcm.77
- Comparative Study of Finite Element Methods Using the Time-Accuracy-Size(TAS) Spectrum Analysis J. Chang et al. 10.1137/18M1172260
- An Algorithm for the Optimization of Finite Element Integration Loops F. Luporini et al. 10.1145/3054944
- hyper.deal: An Efficient, Matrix-free Finite-element Library for High-dimensional Partial Differential Equations P. Munch et al. 10.1145/3469720
- Variational inequality approach to enforcing the non-negative constraint for advection–diffusion equations J. Chang & K. Nakshatrala 10.1016/j.cma.2017.03.022
- The scaling and skewness of optimally transported meshes on the sphere C. Budd et al. 10.1016/j.jcp.2018.08.028
- Open-source immersogeometric analysis of fluid–structure interaction using FEniCS and tIGAr D. Kamensky 10.1016/j.camwa.2020.01.023
- tIGAr: Automating isogeometric analysis with FEniCS D. Kamensky & Y. Bazilevs 10.1016/j.cma.2018.10.002
- The Dune framework: Basic concepts and recent developments P. Bastian et al. 10.1016/j.camwa.2020.06.007
- Firedrake F. Rathgeber et al. 10.1145/2998441
- icepack: a new glacier flow modeling package in Python, version 1.0 D. Shapero et al. 10.5194/gmd-14-4593-2021
14 citations as recorded by crossref.
- A compatible finite‐element discretisation for the moist compressible Euler equations T. Bendall et al. 10.1002/qj.3841
- Composable block solvers for the four-field double porosity/permeability model M. Joshaghani et al. 10.1016/j.jcp.2019.02.020
- Thetis coastal ocean model: discontinuous Galerkin discretization for the three-dimensional hydrostatic equations T. Kärnä et al. 10.5194/gmd-11-4359-2018
- A MATLAB Script for Solving 2D/3D Minimum Compliance Problems using Anisotropic Mesh Adaptation K. Jensen 10.1016/j.proeng.2017.09.792
- Energy conserving SUPG methods for compatible finite element schemes in numerical weather prediction G. Wimmer et al. 10.5802/smai-jcm.77
- Comparative Study of Finite Element Methods Using the Time-Accuracy-Size(TAS) Spectrum Analysis J. Chang et al. 10.1137/18M1172260
- An Algorithm for the Optimization of Finite Element Integration Loops F. Luporini et al. 10.1145/3054944
- hyper.deal: An Efficient, Matrix-free Finite-element Library for High-dimensional Partial Differential Equations P. Munch et al. 10.1145/3469720
- Variational inequality approach to enforcing the non-negative constraint for advection–diffusion equations J. Chang & K. Nakshatrala 10.1016/j.cma.2017.03.022
- The scaling and skewness of optimally transported meshes on the sphere C. Budd et al. 10.1016/j.jcp.2018.08.028
- Open-source immersogeometric analysis of fluid–structure interaction using FEniCS and tIGAr D. Kamensky 10.1016/j.camwa.2020.01.023
- tIGAr: Automating isogeometric analysis with FEniCS D. Kamensky & Y. Bazilevs 10.1016/j.cma.2018.10.002
- The Dune framework: Basic concepts and recent developments P. Bastian et al. 10.1016/j.camwa.2020.06.007
- Firedrake F. Rathgeber et al. 10.1145/2998441
1 citations as recorded by crossref.
Latest update: 09 Jun 2023
Short summary
Unstructured meshes offer flexibility but are perceived as slow. Some applications, including atmosphere or ocean simulations, admit an extruded mesh: the horizontal mesh may be unstructured, but the vertical dimension can be traversed in a structured way. By extending the Firedrake automated simulation framework to this case, we show that an extruded mesh can be traversed as fast as a structured mesh. This paves the way for highly efficient unstructured mesh models of the ocean and atmosphere.
Unstructured meshes offer flexibility but are perceived as slow. Some applications, including...
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