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@INPROCEEDINGS{Lorenz:128962,
author = {Lorenz, Daniel and Böhme, David and Mohr, Bernd and
Strube, Alexandre and Szebenyi, Zoltan},
title = {{E}xtending {S}calasca's analysis features},
address = {Berlin},
publisher = {Springer},
reportid = {FZJ-2013-00487},
isbn = {978-3-642-37348-0},
pages = {115-126},
year = {2013},
comment = {Tools for High Performance Computing 2012},
booktitle = {Tools for High Performance Computing
2012},
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.},
month = {Sep},
date = {2012-09-25},
organization = {6th International Parallel Tools
Workshop, Stuttgart (Germany), 25 Sep
2012 - 28 Sep 2012},
cin = {JSC},
ddc = {004},
cid = {I:(DE-Juel1)JSC-20090406},
pnm = {411 - Computational Science and Mathematical Methods
(POF2-411) / ATMLPP - ATML Parallel Performance (ATMLPP)},
pid = {G:(DE-HGF)POF2-411 / G:(DE-Juel-1)ATMLPP},
typ = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
doi = {10.1007/978-3-642-37349-7_8},
url = {https://juser.fz-juelich.de/record/128962},
}