Extending Scalasca's analysis features

Lorenz, Daniel; Böhme, David; Strube, Alexandre; Mohr, Bernd; Szebenyi, Zoltan

Contribution to a conference proceedings/Contribution to a book

FZJ-2013-00487

Extending Scalasca's analysis features

Lorenz, D. (Corresponding author)FZJ* ; Böhme, D. ; Mohr, B.FZJ* ; Strube, A.FZJ* ; Szebenyi, Z.

2013
Springer Berlin
ISBN: 978-3-642-37348-0

Tools for High Performance Computing 2012
6th International Parallel Tools Workshop, Stuttgart, Germany, 25 Sep 2012 - 28 Sep 2012 Berlin : Springer 200 S (2013) [10.1007/978-3-642-37349-7_8]

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Please use a persistent id in citations: http://hdl.handle.net/2128/4939 doi:10.1007/978-3-642-37349-7_8

Abstract: 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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