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000128962 0247_ $$2DOI$$a10.1007/978-3-642-37349-7_8
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000128962 041__ $$aeng
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000128962 1001_ $$0P:(DE-Juel1)138271$$aLorenz, Daniel$$b0$$eCorresponding author
000128962 1112_ $$a6th International Parallel Tools Workshop$$cStuttgart$$d2012-09-25 - 2012-09-28$$wGermany
000128962 245__ $$aExtending Scalasca's analysis features
000128962 260__ $$aBerlin$$bSpringer$$c2013
000128962 29510 $$aTools for High Performance Computing 2012
000128962 300__ $$a200 S
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000128962 520__ $$aScalasca is a performance analysis tool, which parses the trace of an application run for certain patterns that indicate performance inefficiencies. In this paper, we present recently developed new features in Scalasaca. In particular, we describe two newly implemented analysis methods: the root cause analysis which tries to identify the cause of a delay and the critical path analysis, which analyses the path of execution that determines the application runtime. Furthermore, we present time-series profiling, a method that allows to explore time-dependent behavior of an application. Finally, we extended the means of Scalasca and its output format CUBE to define and display topologies.
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000128962 7001_ $$0P:(DE-HGF)0$$aBöhme, David$$b1
000128962 7001_ $$0P:(DE-Juel1)132199$$aMohr, Bernd$$b2
000128962 7001_ $$0P:(DE-Juel1)140202$$aStrube, Alexandre$$b3
000128962 7001_ $$0P:(DE-HGF)0$$aSzebenyi, Zoltan$$b4
000128962 773__ $$p115-126
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000128962 9141_ $$y2013
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