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000201123 1001_ $$0P:(DE-HGF)0$$aSchöne, Robert$$b0$$eCorresponding Author
000201123 245__ $$aTools and methods for measuring and tuning the energy efficiency of HPC systems
000201123 260__ $$bIOS Press$$c2014
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000201123 520__ $$aEnergy costs nowadays represent a significant share of the total costs of ownership of High Performance Computing (HPC) systems. In this paper we provide an overview on different aspects of energy efficiency measurement and optimization. This includes metrics that define energy efficiency and a description of common power and energy measurement tools. We discuss performance measurement and analysis suites that use these tools and provide users the possibility to analyze energy efficiency weaknesses in their code. We also demonstrate how the obtained power and performance data can be used to locate inefficient resource usage or to create a model to predict optimal operation points. We further present interfaces in these suites that allow an automated tuning for energy efficiency and how these interfaces are used. We finally discuss how a hard power limit will change our view on energy efficient HPC in the future.
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000201123 7001_ $$0P:(DE-HGF)0$$aTreibig, Jan$$b1
000201123 7001_ $$0P:(DE-HGF)0$$aDolz, Manuel$$b2
000201123 7001_ $$0P:(DE-HGF)0$$aGuillen, Carla$$b3
000201123 7001_ $$0P:(DE-HGF)0$$aNavarrete, Carmen$$b4
000201123 7001_ $$0P:(DE-Juel1)132163$$aKnobloch, Michael$$b5$$ufzj
000201123 7001_ $$0P:(DE-HGF)0$$aRountree, Barry$$b6
000201123 773__ $$0PERI:(DE-600)2070004-0$$a10.3233/SPR-140393$$n4$$p273–283$$tScientific programming$$v22$$x1058-9244$$y2014
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