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Hierarchical MATE's approach for dynamic performance tuning of large-scale parallel applications

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4 Author(s)
Martinez, A. ; Comput. Archit. & Oper. Syst. Dept., Univ. Auto'noma de Barcelona, Barcelona, Spain ; Sikora, A. ; Cesar, E. ; Sorribes, J.

Currently, performance analysis support tools are required to exploit the potential performance of large-scale computers. However, in this context, scalability becomes a major problem for this kind of tools. Nowadays, there are automatic performance analysis tools, such as Scalasca [1] or Periscope [2], capable of scaling and looking for performance problems of parallel applications. Nevertheless, if the behaviour of a parallel application varies during the execution according to the data evolution, then dynamic analysis and tuning of the application during its execution, such as that performed by MATE [3] tool, is necessary.

Published in:

Performance Computing and Communications Conference (IPCCC), 2012 IEEE 31st International

Date of Conference:

1-3 Dec. 2012