The Library
Developing and using a geometric multigrid, unstructured grid mini-application to assess many-core architectures
Tools
Tools
Tools
Owenson, Andrew M B, Wright, Steven A., Bunt, Richard A., Jarvis, Stephen A., Ho, Y. K. and Street, Matthew (2018) Developing and using a geometric multigrid, unstructured grid mini-application to assess many-core architectures. In: 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing, Cambridge, UK, 21-23 Mar 2018. Published in: 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP) ISBN 9781538649763. doi:10.1109/PDP2018.2018.00018
|
PDF
WRAP-developing-geometric-multigrid-unstructured-assess-Owenson-2018.pdf - Submitted Version - Requires a PDF viewer. Download (821Kb) | Preview |
Official URL: https://doi.org/10.1109/PDP2018.2018.00018
Abstract
Achieving high-performance of large scientific codes is a difficult task. This has led to the development of numerous mini-applications that are more tractable to analyse, while retaining performance characteristics of their full-sized counterparts. These “mini-apps” also enable faster hardware evaluation, and for sensitive codes allow evaluation of systems outside of access approval processes.
In this paper we develop a mini-application of a geometric multigrid, unstructured grid Computational Fluid Dynamics (CFD) code, designed to exhibit similar performance characteristics without sharing code. We detail our experiences developing this application, using guidelines detailed in existing research, and contribute further additions to these to aid future mini-application developers. Our application is validated against the inviscid flux routine of HYDRA, a CFD code developed by Rolls-Royce, which confirms that the parent kernel and mini-application share fundamental causes of parallel inefficiency.
We then use the mini-application to assess the impact of Intel's Knights Landing (KNL) on performance. We find that the mini-app and parent kernel continue to share scaling characteristics, however a comparison with Broadwell performance exposed significant differences between the kernels that were undetected by the validation.
| Item Type: | Conference Item (Paper) | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TA Engineering (General). Civil engineering (General) |
||||||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||||||
| Library of Congress Subject Headings (LCSH): | Computational fluid dynamics -- Software, High performance computing | ||||||||||||
| Journal or Publication Title: | 2018 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP) | ||||||||||||
| Publisher: | IEEE | ||||||||||||
| ISBN: | 9781538649763 | ||||||||||||
| Official Date: | 7 June 2018 | ||||||||||||
| Dates: |
|
||||||||||||
| DOI: | 10.1109/PDP2018.2018.00018 | ||||||||||||
| Status: | Peer Reviewed | ||||||||||||
| Publication Status: | Published | ||||||||||||
| Access rights to Published version: | Restricted or Subscription Access | ||||||||||||
| Funder: | Engineering and Physical Sciences Research Council (EPSRC), Intel Corporation | ||||||||||||
| RIOXX Funder/Project Grant: |
|
||||||||||||
| Conference Paper Type: | Paper | ||||||||||||
| Title of Event: | 26th Euromicro International Conference on Parallel, Distributed and Network-based Processing | ||||||||||||
| Type of Event: | Conference | ||||||||||||
| Location of Event: | Cambridge, UK | ||||||||||||
| Date(s) of Event: | 21-23 Mar 2018 | ||||||||||||
| Related URLs: |
Request changes or add full text files to a record
Repository staff actions (login required)
 |
View Item |
Downloads
Downloads per month over past year
