Abstract
Geoscience Australia and the Australian National University are developing a hydrodynamic inundation modelling tool called anuga to help simulate the impact of natural inundation hazards such as riverine ooding, storm surges and tsunamis. The core of anuga is a Python implementation of a finite volume method, based on triangular meshes, for solving the conservative form of the Shallow Water Wave equation. We describe the parallelisation of the code using a domain decomposition strategy where we use the metis graph partitioning library to decompose the finite volume meshes. The parallel efficiency of our code is tested using a number of mesh partitions, and we verify that the metis graph partition is particularly efficient.
Original language | English |
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Pages (from-to) | C558-C572 |
Journal | ANZIAM Journal |
Volume | 48 |
Publication status | Published - 2014 |