Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

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