Zhao, Lei and Jarvis, Stephen A.. (2007) Predictive performance modelling of parallel component compositions. Cluster Computing, Vol.10 (No.2). pp. 155-166. ISSN 1386-7857

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Abstract

Large-scale scientific computing applications frequently make use of closely-coupled distributed parallel components. The performance of such applications is therefore dependent on the component parts and their interaction at run-time. This paper describes a methodology for predictive performance modelling and evaluation of parallel applications composed of multiple interacting components. In this paper, the fundamental steps and required operations involved in the modelling and evaluation process are identified - including component decomposition, component model combination, M x N communication modelling, dataflow analysis and overall performance evaluation. A case study is presented to illustrate the modelling process and the methodology is verified through experimental analysis.

Item Type:	Journal Article
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Divisions:	Faculty of Science > Computer Science
Journal or Publication Title:	Cluster Computing
Publisher:	Springer New York LLC
ISSN:	1386-7857
Date:	June 2007
Volume:	Vol.10
Number:	No.2
Number of Pages:	12
Page Range:	pp. 155-166
Identification Number:	10.1007/s10586-007-0010-2
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Title of Event:	4th International Workshop on Performance Modelling, Evaluation, and Optimization of Parallel and Distributed Systems
Type of Event:	Other
Location of Event:	Denver, Colorado
Date(s) of Event:	April 03-08, 2005
URI:	http://wrap.warwick.ac.uk/id/eprint/31863

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