TY  - CONF
AU  - Vierjahn, Tom
AU  - Hermanns, Marc-Andre
AU  - Mohr, Bernd
AU  - Muller, Matthias S.
AU  - Kuhlen, Torsten W.
AU  - Hentschel, Bernd
TI  - Correlating sub-phenomena in performance data in the frequency domain
PB  - IEEE
M1  - FZJ-2018-00859
SN  - 978-1-5090-5659-0
SP  - 105-106
PY  - 2016
AB  - 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
T2  - 2016 IEEE 6th Symposium on Large Data Analysis and Visualization
CY  - 23 Oct 2016 - 28 Oct 2016, Baltimore, MD (USA)
Y2  - 23 Oct 2016 - 28 Oct 2016
M2  - Baltimore, MD, USA
LB  - PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
DO  - DOI:10.1109/LDAV.2016.7874340
UR  - https://juser.fz-juelich.de/record/842652
ER  -