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@ARTICLE{Wolf:54005,
author = {Wolf, F. and Mohr, B. and Dongarra, J. and Moore, S.},
title = {{A}utomatic analysis of inefficiency patterns in parallel
applications},
journal = {Concurrency and computation},
volume = {19},
issn = {1532-0626},
address = {Chichester},
publisher = {Wiley},
reportid = {PreJuSER-54005},
pages = {1481 - 1496},
year = {2007},
note = {Record converted from VDB: 12.11.2012},
abstract = {Event tracing is a powerful method for analyzing the
performance behavior of parallel applications. Because event
traces record the temporal and spatial relationships between
individual runtime events, they allow application developers
to analyze dependences of performance phenomena across
concurrent control flows. However, in view of the large
amounts of data generated on contemporary parallel machines,
the depth and coverage of a purely manual analysis is often
limited. Our approach automatically searches event traces
for patterns of inefficient behavior, classifies detected
instances by category, and quantifies the associated
performance penalty. This enables developers to study the
performance of their applications at a high level of
abstraction, while requiring significantly less time and
expertise than a manual analysis. Copyright (c) 2006 John
Wiley $\&$ Sons, Ltd.},
keywords = {J (WoSType)},
cin = {ZAM / JARA-SIM},
ddc = {004},
cid = {I:(DE-Juel1)VDB62 / I:(DE-Juel1)VDB1045},
pnm = {Scientific Computing},
pid = {G:(DE-Juel1)FUEK411},
shelfmark = {Computer Science, Software Engineering / Computer Science,
Theory $\&$ Methods},
typ = {PUB:(DE-HGF)16},
UT = {WOS:000248578200004},
doi = {10.1002/cpe.1128},
url = {https://juser.fz-juelich.de/record/54005},
}