Title :
Predictive performance modelling of parallel component composition
Author :
Zhao, Lei ; Jarvis, Stephen A. ; Spooner, Daniel P. ; Nudd, Graham R.
Author_Institution :
Dept. of Comput. Sci., Warwick Univ., Coventry, UK
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, M×N 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.
Keywords :
data flow analysis; object-oriented programming; parallel programming; performance evaluation; closely-coupled distributed parallel component composition; inter-component dataflow analysis; large-scale scientific computing; predictive performance modelling; Application software; Computational modeling; Computer science; Data analysis; Independent component analysis; Large-scale systems; Performance analysis; Predictive models; Runtime; Scientific computing;
Conference_Titel :
Parallel and Distributed Processing Symposium, 2005. Proceedings. 19th IEEE International
Print_ISBN :
0-7695-2312-9
DOI :
10.1109/IPDPS.2005.356