@inproceedings{f2c94451a76f48678cf57b3a304fe37b,
title = "Predictive performance modelling of parallel component composition",
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.",
author = "Lei Zhao and Jarvis, {Stephen A.} and Spooner, {Daniel P.} and Nudd, {Graham R.}",
year = "2005",
doi = "10.1109/IPDPS.2005.356",
language = "English",
isbn = "0769523129",
series = "Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005",
booktitle = "Proceedings - 19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005",
note = "19th IEEE International Parallel and Distributed Processing Symposium, IPDPS 2005 ; Conference date: 04-04-2005 Through 08-04-2005",
}