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Predictive performance modelling of parallel component compositions
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Zhao, Lei and Jarvis, Stephen A. (2007) Predictive performance modelling of parallel component compositions. Cluster Computing, Volume 10 (Number 2). pp. 155-166. doi:10.1007/s10586-007-0010-2 ISSN 1386-7857.
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Official URL: http://dx.doi.org/10.1007/s10586-007-0010-2
Abstract
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, M x N 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.
Item Type: | Journal Article | ||||||
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Subjects: | Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||
Journal or Publication Title: | Cluster Computing | ||||||
Publisher: | Springer New York LLC | ||||||
ISSN: | 1386-7857 | ||||||
Official Date: | June 2007 | ||||||
Dates: |
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Volume: | Volume 10 | ||||||
Number: | Number 2 | ||||||
Number of Pages: | 12 | ||||||
Page Range: | pp. 155-166 | ||||||
DOI: | 10.1007/s10586-007-0010-2 | ||||||
Status: | Peer Reviewed | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 15 December 2015 | ||||||
Type of Event: | Other |
Data sourced from Thomson Reuters' Web of Knowledge
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