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Automatic Online Tuning. Goals Combine analysis and tuning in the Periscope Tuning Framework Tune codes to improve performance and energy efficiency Support multicore and GPU accelerated parallel systems Approach

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Automatic Online Tuning

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Automatic online tuning

Automatic Online Tuning

  • Goals

  • Combine analysisandtuning in thePeriscope Tuning Framework

  • Tune codestoimproveperformanceandenergyefficiency

  • Support multicoreand GPU accelerated parallel systems

  • Approach

  • Predefinedtuningstrategiescombineperformanceanalysisandtuningplugins

  • Detectedperformanceandenergycharacteristicsareforwardedtoplugins

  • Tuning pluginsfocus on

    • Compiler basedoptimization

    • HMPP tuningfor GPUs

    • Parallel patterntuning

    • MPI tuning

    • Energyefficiencytuning

  • Partners

  • Technische Universität München

  • Leibniz Supercomputing Center

  • CAPS entreprise

  • UniversitatAutònoma de Barcelona

  • University ofGalway, ICHEC

  • Universität Wien

  • IBM (associatedpartner)

  • Fundingby European UnionFP7 projectno. 288038

  • Duration: 2011-2014

  • Contact: Michael Gerndt <gerndt@in.tum.de>


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