Predictive performance modelling of parallel component compositions

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, MxN 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.

• Type: Journal
• Year: 2007
• Where: CLUSTER
• Authors: Lei Zhao, Stephen A. Jarvis
• Keywords: CLUSTER 2007, Distributed And Parallel Computing, Large-scale Scientific Computing, Modelling, Multiple Interacting Components