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Adapting and optimising Fluidity for high-fidelity coastal modelling

Research output: Contribution to journalArticle

Original languageEnglish
Pages (from-to)46-53
JournalComputers and Fluids
Volume168
Early online date21 Mar 2018
DOIs
Publication statusPublished - 30 May 2018

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.

    Research areas

  • Fluidity, Load Balancing, Mesh Decomposition, Code Optimisation, Parallel Performance

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