Adapting and optimising Fluidity for high-fidelity coastal modelling

被引:2
|
作者
Creech, Angus C. W. [1 ]
Jackson, Adrian [2 ]
Maddison, James R. [3 ,4 ]
机构
[1] Univ Edinburgh, Inst Energy Syst, Edinburgh, Midlothian, Scotland
[2] Univ Edinburgh, EPCC, Edinburgh, Midlothian, Scotland
[3] Univ Edinburgh, Sch Math, Edinburgh, Midlothian, Scotland
[4] Univ Edinburgh, Maxwell Inst Math Sci, Edinburgh, Midlothian, Scotland
基金
英国自然环境研究理事会;
关键词
Fluidity; Load balancing; Mesh decomposition; Code optimisation; Parallel performance; FINITE-ELEMENT PAIR; HYDRODYNAMIC MODEL; FLOW;
D O I
10.1016/j.compfluid.2018.03.066
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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. (C) 2018 Elsevier Ltd. All rights reserved.
引用
收藏
页码:46 / 53
页数:8
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