The Library
Predictive performance analysis of a parallel pipelined synchronous wavefront application for commodity processor cluster systems
Tools
Mudalige, Gihan R., Jarvis, Stephen A., Spooner, Daniel P. and Nudd, G. R. (2006) Predictive performance analysis of a parallel pipelined synchronous wavefront application for commodity processor cluster systems. In: IEEE International Conference on Cluster Computing, Barcelona, Spain, 25-28 Sep 2006. Published in: 2006 IEEE International Conference on Cluster Computing pp. 467-478. ISBN 9781424403271. doi:10.1109/CLUSTR.2006.311888 ISSN 1552-5244.
|
PDF
WRAP-Predictive-performance-analysis-parallel-pipelined-synchronous-wavefront-Jarvis-2020.pdf - Accepted Version - Requires a PDF viewer. Download (1284Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/CLUSTR.2006.311888
Abstract
This paper details the development and application of a model for predictive performance analysis of a pipelined synchronous wavefront application running on commodity processor cluster systems. The performance model builds on existing work [1] by including extensions for modern commodity processor architectures. These extensions, including coarser hardware benchmarking, prove to be essential in countering the effects of modern superscalar processors (e.g. multiple operation pipelines and on-the-fly optimisations), complex memory hierarchies, and the impact of applying modern optimising compilers. The process of application modelling is also extended, combining static source code analysis with run-time profiling results for increased accuracy. The model is validated on several high performance SMP systems and the results show a high predictive accuracy (<= 10% error). Additionally, the use of the performance model to speculate on the performance and scalability of this application on a hypothetical cluster with two different problem sizes is demonstrated. It is shown that such speculative techniques can be used to support system procurement, run-time verification and system maintenance and upgrading.
Item Type: | Conference Item (Paper) | ||||
---|---|---|---|---|---|
Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Journal or Publication Title: | 2006 IEEE International Conference on Cluster Computing | ||||
Publisher: | IEEE | ||||
ISBN: | 9781424403271 | ||||
ISSN: | 1552-5244 | ||||
Official Date: | 2006 | ||||
Dates: |
|
||||
Number of Pages: | 12 | ||||
Page Range: | pp. 467-478 | ||||
DOI: | 10.1109/CLUSTR.2006.311888 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Re-use Statement: | © 2006 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Date of first compliant deposit: | 14 December 2015 | ||||
Date of first compliant Open Access: | 28 September 2020 | ||||
Conference Paper Type: | Paper | ||||
Title of Event: | IEEE International Conference on Cluster Computing | ||||
Type of Event: | Conference | ||||
Location of Event: | Barcelona, Spain | ||||
Date(s) of Event: | 25-28 Sep 2006 | ||||
Related URLs: |
Data sourced from Thomson Reuters' Web of Knowledge
Request changes or add full text files to a record
Repository staff actions (login required)
View Item |
Downloads
Downloads per month over past year