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005     20250314084108.0
020 _ _ |a 978-3-642-37348-0
024 7 _ |a 10.1007/978-3-642-37349-7_8
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024 7 _ |a 2128/4939
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037 _ _ |a FZJ-2013-00487
041 _ _ |a eng
082 _ _ |a 004
100 1 _ |a Lorenz, Daniel
|0 P:(DE-Juel1)138271
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|e Corresponding author
111 2 _ |a 6th International Parallel Tools Workshop
|c Stuttgart
|d 2012-09-25 - 2012-09-28
|w Germany
245 _ _ |a Extending Scalasca's analysis features
260 _ _ |a Berlin
|c 2013
|b Springer
295 1 0 |a Tools for High Performance Computing 2012
300 _ _ |a 200 S
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520 _ _ |a Scalasca 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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700 1 _ |a Böhme, David
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700 1 _ |a Mohr, Bernd
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700 1 _ |a Strube, Alexandre
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700 1 _ |a Szebenyi, Zoltan
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|b 4
773 _ _ |p 115-126
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856 4 _ |u https://juser.fz-juelich.de/record/128962/files/FZJ-2013-00487.pdf
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