The University of Southampton
University of Southampton Institutional Repository

Load balance and parallel I/O: Optimising COSA for large simulations

Load balance and parallel I/O: Optimising COSA for large simulations
Load balance and parallel I/O: Optimising COSA for large simulations

This paper presents the optimisation of the parallel functionalities of the Navier-Stokes Computational Fluid Dynamics research code COSA, a finite volume structured multi-block code featuring a steady solver, a general purpose time-domain solver, and a frequency-domain harmonic balance solver for the rapid solution of unsteady periodic flows. The optimisation focuses on improving the scalability of the parallel input/output functionalities of the code and developing an effective and user-friendly load balancing approach. Both features are paramount for using COSA efficiently for large-scale production simulations using tens of thousands of computational cores. The efficiency enhancements resulting from optimising the parallel I/O functionality and addressing load balance issues has provided up to a 4× performance improvement for unbalanced simulations, and 2× performance improvements for balanced simulations.

COSA, Decomposition, I/O, Load balance, Optimisation, Parallel performance
0045-7930
Jackson, Adrian
8173ef36-a41f-4573-b54a-f37e46c56bb9
Campobasso, M. Sergio
ccc82d53-2d65-42bc-b46a-1ba5020b32c7
Drofelnik, Jernej
e785f695-61ef-4afc-bf0a-9dc7966f5516
Jackson, Adrian
8173ef36-a41f-4573-b54a-f37e46c56bb9
Campobasso, M. Sergio
ccc82d53-2d65-42bc-b46a-1ba5020b32c7
Drofelnik, Jernej
e785f695-61ef-4afc-bf0a-9dc7966f5516

Jackson, Adrian, Campobasso, M. Sergio and Drofelnik, Jernej (2018) Load balance and parallel I/O: Optimising COSA for large simulations. Computers & Fluids. (doi:10.1016/j.compfluid.2018.03.007).

Record type: Article

Abstract

This paper presents the optimisation of the parallel functionalities of the Navier-Stokes Computational Fluid Dynamics research code COSA, a finite volume structured multi-block code featuring a steady solver, a general purpose time-domain solver, and a frequency-domain harmonic balance solver for the rapid solution of unsteady periodic flows. The optimisation focuses on improving the scalability of the parallel input/output functionalities of the code and developing an effective and user-friendly load balancing approach. Both features are paramount for using COSA efficiently for large-scale production simulations using tens of thousands of computational cores. The efficiency enhancements resulting from optimising the parallel I/O functionality and addressing load balance issues has provided up to a 4× performance improvement for unbalanced simulations, and 2× performance improvements for balanced simulations.

This record has no associated files available for download.

More information

Accepted/In Press date: 1 March 2018
e-pub ahead of print date: 5 March 2018
Keywords: COSA, Decomposition, I/O, Load balance, Optimisation, Parallel performance

Identifiers

Local EPrints ID: 421609
URI: http://eprints.soton.ac.uk/id/eprint/421609
ISSN: 0045-7930
PURE UUID: ba4f1792-8c77-403d-aa76-3ea3eb9180ae

Catalogue record

Date deposited: 15 Jun 2018 16:31
Last modified: 15 Mar 2024 18:58

Export record

Altmetrics

Contributors

Author: Adrian Jackson
Author: M. Sergio Campobasso
Author: Jernej Drofelnik

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×