Predictive Performance Modelling of Parallel Component Composition

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.

• Type: Conference
• Year: 2005
• Where: IPPS
• Authors: Lei Zhao, Stephen A. Jarvis, Daniel P. Spooner, Graham R. Nudd
• Keywords: Distributed And Parallel Computing, IPPS 2005, Modelling Process, Performance, Predictive Performance Modelling