Owenson, Andrew, Wright, Steven A. orcid.org/0000-0001-7133-8533, Bunt, Richard et al. (3 more authors) (2020) An Unstructured CFD Mini-Application for the Performance Prediction of a Production CFD Code. Concurrency and Computation: Practice and Experience. e5443. ISSN 1532-0634
Abstract
Maintaining the performance of large scientific codes is a difficult task. To aid in this task, a number of mini-applications have been developed that are more tractable to analyze than large-scale production codes while retaining the performance characteristics of them. These “mini-apps” also enable faster hardware evaluation and, for sensitive commercial codes, allow evaluation of code and system changes outside of access approval processes. In this paper, we develop MG-CFD, a mini-application that represents a geometric multigrid, unstructured computational fluid dynamics (CFD) code, designed to exhibit similar performance characteristics without sharing commercially sensitive code. We detail our experiences of developing this application using guidelines detailed in existing research and contributing further to these. Our application is validated against the inviscid flux routine of HYDRA, a CFD code developed by Rolls-Royce plc for turbomachinery design. This paper (1) documents the development of MG-CFD, (2) introduces an associated performance model with which it is possible to assess the performance of HYDRA on new HPC architectures, and (3) demonstrates that it is possible to use MG-CFD and the performance models to predict the performance of HYDRA with a mean error of 9.2% for strong-scaling studies.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2019 The Authors |
Keywords: | computational fluid dynamics,high performance computing,mini-application,performance analysis,performance modeling,scientific computing |
Dates: |
|
Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Depositing User: | Pure (York) |
Date Deposited: | 01 Jul 2019 16:00 |
Last Modified: | 17 Dec 2024 00:13 |
Published Version: | https://doi.org/10.1002/cpe.5443 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.1002/cpe.5443 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:148034 |
Download
Filename: cpe.5443.pdf
Description: An unstructured CFD mini-application for the performance prediction of a production CFD code
Licence: CC-BY 2.5