Toggle Main Menu Toggle Search

Open Access padlockePrints

New prospects for computational hydraulics by leveraging high-performance heterogeneous computing techniques

Lookup NU author(s): Professor Qiuhua Liang, Luke Smith, Dr Xilin Xia

Downloads


Licence

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).


Abstract

In the last two decades, computational hydraulics has undergone a rapid development following the advancement of data acquisition and computing technologies. Using a finite-volume Godunov-type hydrodynamic model, this work demonstrates the promise of modern high-performance computing technology to achieve real-time flood modeling at a regional scale. The software is implemented for high-performance heterogeneous computing using the OpenCL programming framework, and developed to support simulations across multiple GPUs using a domain decomposition technique and across multiple systems through an efficient implementation of the Message Passing Interface (MPI) standard. The software is applied for a convective storm induced flood event in Newcastle upon Tyne, demonstrating high computational performance across a GPU cluster, and good agreement against crowd-sourced observations. Issues relating to data availability, complex urban topography and differences in drainage capacity affect results for a small number of areas.


Publication metadata

Author(s): Liang QH, Smith L, Xia XL

Publication type: Article

Publication status: Published

Journal: Journal of Hydrodynamics

Year: 2016

Volume: 28

Issue: 6

Pages: 977-985

Print publication date: 01/12/2016

Online publication date: 14/12/2016

Acceptance date: 02/04/2016

Date deposited: 24/04/2017

ISSN (print): 1001-6058

ISSN (electronic): 1878-0342

Publisher: Elsevier

URL: http://dx.doi.org/10.1016/S1001-6058(16)60699-6

DOI: 10.1016/S1001-6058(16)60699-6


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
NE/K008781/1UK Natural Environment Research Council (NERC) SINATRA project

Share