Projects per year
Abstract
Work undertaken to improve the performance of Fluidity, an open-source finite-element computational fluid dynamics solver from Imperial College London, for both general computational fluid dynamics and tidal modelling problems is outlined. Optimising the general computational structure of Fluidity, along with work to improve the data decomposition and parallel load balancing enabled simulations to be run over three times faster than with the original code, even when using thousands of computational cores. This changes the level of detail at which fluids problems can be studied with Fluidity, and impacts upon research that examines high Reynolds number turbulent flows. This is of particular relevance in areas such as engineering aerodynamics, wind energy, marine energy, and environmental or pollution modelling.
Original language | English |
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Pages (from-to) | 46-53 |
Journal | Computers & Fluids |
Volume | 168 |
Early online date | 21 Mar 2018 |
DOIs | |
Publication status | Published - 30 May 2018 |
Keywords / Materials (for Non-textual outputs)
- Fluidity
- Load Balancing
- Mesh Decomposition
- Code Optimisation
- Parallel Performance
Fingerprint
Dive into the research topics of 'Adapting and optimising Fluidity for high-fidelity coastal modelling'. Together they form a unique fingerprint.Projects
- 4 Finished
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Geometry and Energetics of Ocean Mesoscale Eddies and Their Represention in Climate Models
Maddison, J. (Principal Investigator)
1/10/17 → 31/03/22
Project: Research
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Optimisation of Large Eddy Simulation (LES) turbulence modelling within Fluidity (£101,252)
Creech, A. (Principal Investigator) & Jackson, A. (Co-investigator)
17/08/15 → 16/08/16
Project: Other (Non-Funded/Miscellaneous)
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Implementation and optimisation of geostrophic eddy parameterisations in ocean circulation models
Maddison, J. (Principal Investigator)
22/09/14 → 21/09/17
Project: Research
Research output
- 1 Paper
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Developing Fluidity for high-fidelity coastal modelling
Creech, A., Jackson, W. & Maddison, J., 15 May 2017.Research output: Contribution to conference › Paper