Changes between Version 9 and Version 10 of PerfexpPy


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Timestamp:
03/02/11 09:39:17 (12 years ago)
Author:
norris
Comment:

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  • PerfexpPy

    v9 v10  
    33Performance experiments can involve multiple execution runs where parameters such as execution platform, measurement tools, methods of measurement, application parameters, and analysis techniques can vary. In order to manage the layers of complexity involved in experimental setup, execution, and post-analysis, a degree of automation is necessary at each stage of the process. A layer of abstraction is needed to hide the intricacies involved in experimental set-up and runs for varying sets of experimental parameters.  This suite of software features an integrated component-based environment that automates the process of running multiple performance experiments and parameter selection of parallel scientific applications. This toolkit will enable application scientists to easily modify the experimental parameters over multiple execution runs and to selectively retrieve the data for analysis and generation of performance models. 
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    5 The features and implementation are described in more detail in this [http://www.mcs.anl.gov/uploads/cels/papers/P1666.pdf paper]. 
     5The features and implementation are described in more detail in  
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     7 Van Bui, Boyana Norris, and Lois Curfman McInnes. An automated component-based performance experiment environment. In Proceedings of the 2009 Workshop on Component-Based High Performance Computing (CBHPC 2009), Nov. 2009. Also available as [http://www.mcs.anl.gov/uploads/cels/papers/P1666.pdf Preprint ANL/MCS-P1666-0809]. 
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    89== Download ==