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000150965 0247_ $$2doi$$a10.1007/978-3-642-37349-7_9
000150965 037__ $$aFZJ-2014-00996
000150965 1001_ $$0P:(DE-Juel1)132199$$aMohr, Bernd$$b0$$eCorresponding author$$ufzj
000150965 1112_ $$a6th International Parallel Tools Workshop$$cStuttgart$$d2012-09-25 - 2012-09-26$$wGermany
000150965 245__ $$aThe HOPSA Workflow and Tools
000150965 260__ $$aBerlin, Heidelberg$$bSpringer Berlin Heidelberg$$c2013
000150965 29510 $$aTools for High Performance Computing 2012
000150965 300__ $$a127-146
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000150965 520__ $$aTo maximise the scientific output of a high-performance computing system, different stakeholders pursue different strategies. While individual application developers are trying to shorten the time to solution by optimising their codes, system administrators are tuning the configuration of the overall system to increase its throughput. Yet, the complexity of today’s machines with their strong interrelationship between application and system performance presents serious challenges to achieving these goals. The HOPSA project (HOlistic Performance System Analysis) therefore sets out to create an integrated diagnostic infrastructure for combined application and system-level tuning – with the former provided by the EU and the latter by the Russian project partners. Starting from system-wide basic performance screening of individual jobs, an automated workflow routes findings on potential bottlenecks either to application developers or system administrators with recommendations on how to identify their root cause using more powerful diagnostic tools. Developers can choose from a variety of mature performance-analysis tools developed by our consortium. Within this project, the tools will be further integrated and enhanced with respect to scalability, depth of analysis, and support for asynchronous tasking, a node-level paradigm playing an increasingly important role in hybrid programs on emerging hierarchical and heterogeneous systems.
000150965 536__ $$0G:(DE-HGF)POF2-411$$a411 - Computational Science and Mathematical Methods (POF2-411)$$cPOF2-411$$fPOF II$$x0
000150965 536__ $$0G:(EU-Grant)277463$$aHOPSA-EU - HOlistic Performance System Analysis-EU (277463)$$c277463$$fFP7-ICT-2011-EU-Russia$$x1
000150965 536__ $$0G:(DE-Juel-1)ATMLPP$$aATMLPP - ATML Parallel Performance (ATMLPP)$$cATMLPP$$x2
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000150965 7001_ $$0P:(DE-HGF)0$$aVoevodin, Vladimir$$b1
000150965 7001_ $$0P:(DE-HGF)0$$aGiménez, Judit$$b2
000150965 7001_ $$0P:(DE-HGF)0$$aHagersten, Erik$$b3
000150965 7001_ $$0P:(DE-HGF)0$$aKnüpfer, Andreas$$b4
000150965 7001_ $$0P:(DE-HGF)0$$aNikitenko, Dmitry A.$$b5
000150965 7001_ $$0P:(DE-HGF)0$$aNilsson, Mats$$b6
000150965 7001_ $$0P:(DE-HGF)0$$aServat, Harald$$b7
000150965 7001_ $$0P:(DE-HGF)0$$aShah, Aamer$$b8
000150965 7001_ $$0P:(DE-HGF)0$$aWinkler, Frank$$b9
000150965 7001_ $$0P:(DE-HGF)0$$aWolf, Felix$$b10
000150965 7001_ $$0P:(DE-Juel1)144419$$aZhukov, Ilya$$b11$$ufzj
000150965 773__ $$a10.1007/978-3-642-37349-7_9
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000150965 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)132199$$aForschungszentrum Jülich GmbH$$b0$$kFZJ
000150965 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)144419$$aForschungszentrum Jülich GmbH$$b11$$kFZJ
000150965 9132_ $$0G:(DE-HGF)POF3-511$$1G:(DE-HGF)POF3-510$$2G:(DE-HGF)POF3-500$$aDE-HGF$$bKey Technologies$$lSupercomputing & Big Data $$vComputational Science and Mathematical Methods$$x0
000150965 9131_ $$0G:(DE-HGF)POF2-411$$1G:(DE-HGF)POF2-410$$2G:(DE-HGF)POF2-400$$3G:(DE-HGF)POF2$$4G:(DE-HGF)POF$$aDE-HGF$$bSchlüsseltechnologien$$lSupercomputing$$vComputational Science and Mathematical Methods$$x0
000150965 9141_ $$y2013
000150965 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0
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