GPU-parallelisation of Haar wavelet-based grid resolution adaptation for fast finite volume modelling: application to shallow water flows

Chowdhury, A.A. orcid.org/0000-0002-6552-7298, Kesserwani, G. orcid.org/0000-0003-1125-8384, Rougé, C. et al. (1 more author) (2023) GPU-parallelisation of Haar wavelet-based grid resolution adaptation for fast finite volume modelling: application to shallow water flows. Journal of Hydroinformatics, 25 (4). pp. 1210-1234. ISSN 1464-7141

Abstract

Metadata

Item Type: Article
Authors/Creators:
Copyright, Publisher and Additional Information:

© 2023 The Authors. This is an Open Access article distributed under the terms of the Creative Commons Attribution Licence (CC BY 4.0), which permits copying, adaptation and redistribution, provided the original work is properly cited (http://creativecommons.org/licenses/by/4.0/).

Keywords: adaptive mesh refinement; computational efficiency assessments; GPU computing; hydraulic modelling; multiresolution analysis
Dates:
  • Published: 1 July 2023
  • Published (online): 16 June 2023
  • Accepted: 3 June 2023
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Civil and Structural Engineering (Sheffield)
The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
Funder
Grant number
ENGINEERING AND PHYSICAL SCIENCE RESEARCH COUNCIL
EP/R007349/1
Depositing User: Symplectic Sheffield
Date Deposited: 30 Nov 2023 12:57
Last Modified: 30 Nov 2023 12:57
Status: Published
Publisher: IWA Publishing
Refereed: Yes
Identification Number: 10.2166/hydro.2023.154
Related URLs:
Open Archives Initiative ID (OAI ID):

Export

Statistics