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Title:AutoTune: A Plugin-Driven Approach to the Automatic Tuning of Parallel Applications
Authors:Renato Miceli, Gilles Civario, Anna Sikora, Eduardo César, Michael Gerndt, Houssam Haitof, Carmen Navarrete, Siegfried Benkner, Martin Sandrieser, Laurent Morin, François Bodin, 2013
Abstract: Performance analysis and tuning is an important step in programming multicore- and manycore-based parallel architectures. While there are several tools to help developers analyze application performance, no tool provides recommendations about how to tune the code. The AutoTune project is extending Periscope, an automatic distributed performance analysis tool developed by Technische Universität München, with plugins for performance and energy efficiency tuning. The resulting Periscope Tuning Framework will be able to tune serial and parallel codes for multicore and manycore architectures and return tuning recommendations that can be integrated into the production version of the code. The whole tuning process -- both performance analysis and tuning -- will be performed automatically during a single run of the application.
ICHEC Project:
Publication:Proc. of the 11th International Workshop on the State-of-the-Art in Scientific and Parallel Computing (PARA 2012). Applied Parallel and Scientific Computing, Springer Lecture Notes in Computer Science (LNCS). Helsinki, Finland. v 7782, p 328-342. Feb 2013
URL: http://dx.doi.org/10.1007/978-3-642-36803-5_24
Keywords: multicore-based parallel architectures; parallel and distributed applications; automatic analysis; automatic performance; energy tuning; performance optimization and tuning
Status: Published

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