Giles, D;
Kashdan, E;
Salmanidou, DM;
Guillas, S;
Dias, F;
(2020)
Performance analysis of Volna-OP2 – massively parallel code for tsunami modelling.
Computers & Fluids
, 209
, Article 104649. 10.1016/j.compfluid.2020.104649.
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Abstract
The software package Volna-OP2 is a robust and efficient code capable of simulating the complete life cycle of a tsunami whilst harnessing the latest High Performance Computing (HPC) architectures. In this paper, a comprehensive error analysis and scalability study of the GPU version of the code is presented. A novel decomposition of the numerical errors into the dispersion and dissipation components is explored. Most tsunami codes exhibit amplitude smearing and/or phase lagging/leading, so the decomposition shown here is a new approach and novel tool for explaining these occurrences. To date, Volna-OP2 has been widely used by the tsunami modelling community. In particular its computational efficiency has allowed various sensitivity analyses and uncertainty quantification studies. Due to the number of simulations required, there is always a trade-off between accuracy and runtime when carrying out these statistical studies. The analysis presented in this paper will guide the user towards an acceptable level of accuracy within a given runtime.
| Type: | Article |
|---|---|
| Title: | Performance analysis of Volna-OP2 – massively parallel code for tsunami modelling |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.compfluid.2020.104649 |
| Publisher version: | https://doi.org/10.1016/j.compfluid.2020.104649 |
| Language: | English |
| Additional information: | Copyright © 2020 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
| Keywords: | Tsunami modelling, Finite-volume scheme, Error analysis, GPUs |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Statistical Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10106221 |
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