AutoTune: A plugin-driven approach to the automatic tuning of parallel applications
| Autor: | Anna Sikora, Martin Sandrieser, François Bodin, Eduardo César, Gilles Civario, Carmen B. Navarrete, Michael Gerndt, Renato Miceli, Siegfried Benkner, Houssam Haitof, Laurent Morin |
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| Rok vydání: | 2013 |
| Předmět: |
020203 distributed computing
Automatic tuning Multi-core processor Computer science business.industry Process (computing) 02 engineering and technology computer.software_genre 020202 computer hardware & architecture Embedded system 0202 electrical engineering electronic engineering information engineering Code (cryptography) Plug-in business computer Efficient energy use |
| Zdroj: | Applied Parallel and Scientific Computing ISBN: 9783642368028 PARA |
| DOI: | 10.1007/978-3-642-36803-5_24 |
| Popis: | 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 Universitat Munchen, 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. |
| Databáze: | OpenAIRE |
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