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Automatic Online Tuning

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

ishmael-dawson
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Automatic Online Tuning

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  1. 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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