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2005
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Predictive Performance Modelling of Parallel Component Composition

9 years 5 months ago
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.
Lei Zhao, Stephen A. Jarvis, Daniel P. Spooner, Gr
Added 25 Jun 2010
Updated 25 Jun 2010
Type Conference
Year 2005
Where IPPS
Authors Lei Zhao, Stephen A. Jarvis, Daniel P. Spooner, Graham R. Nudd
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