%0 Conference Paper
%A Vierjahn, Tom
%A Hermanns, Marc-Andre
%A Mohr, Bernd
%A Muller, Matthias S.
%A Kuhlen, Torsten W.
%A Hentschel, Bernd
%T Correlating sub-phenomena in performance data in the frequency domain
%I IEEE
%M FZJ-2018-00859
%@ 978-1-5090-5659-0
%P 105-106
%D 2016
%X Finding and understanding correlated performance behaviour of the individual functions of massively parallel high-performance computing (HPC) applications is a time-consuming task. In this poster, we propose filtered correlation analysis for automatically locating interdependencies in call-path performance profiles. Transforming the data into the frequency domain splits a performance phenomenon into sub-phenomena to be correlated
%B 2016 IEEE 6th Symposium on Large Data Analysis and Visualization
%C 23 Oct 2016 - 28 Oct 2016, Baltimore, MD (USA)
Y2 23 Oct 2016 - 28 Oct 2016
M2 Baltimore, MD, USA
%F PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
%9 Contribution to a conference proceedingsContribution to a book
%R 10.1109/LDAV.2016.7874340
%U https://juser.fz-juelich.de/record/842652