Adapting and optimising Fluidity for high-fidelity coastal modelling
| Autor: | Angus Creech, Adrian Jackson, James R. Maddison |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
General Computer Science
Computer science 010103 numerical & computational mathematics Computational fluid dynamics 01 natural sciences 010305 fluids & plasmas Fluidity Load Balancing Physics::Fluid Dynamics symbols.namesake 0103 physical sciences Marine energy 0101 mathematics Wind power Turbulence business.industry General Engineering Reynolds number Aerodynamics Load balancing (computing) Solver Code Optimisation Parallel Performance symbols Mesh Decomposition business Marine engineering |
| Zdroj: | Creech, A, Jackson, W & Maddison, J 2018, ' Adapting and optimising Fluidity for high-fidelity coastal modelling ', Computers and Fluids, vol. 168, pp. 46-53 . https://doi.org/10.1016/j.compfluid.2018.03.066 |
| DOI: | 10.1016/j.compfluid.2018.03.066 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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