Predictive Performance Modelling of Parallel Component Composition

Authors:
Lei Zhao;Stephen A. Jarvis;Daniel P. Spooner;Graham R. Nudd
Affiliations:
University of Warwick, Coventry, UK;University of Warwick, Coventry, UK;University of Warwick, Coventry, UK;University of Warwick, Coventry, UK
Venue:
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Workshop 15 - Volume 16
Year:
2005

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Abstract

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