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@INPROCEEDINGS{Vierjahn:842652,
      author       = {Vierjahn, Tom and Hermanns, Marc-Andre and Mohr, Bernd and
                      Muller, Matthias S. and Kuhlen, Torsten W. and Hentschel,
                      Bernd},
      title        = {{C}orrelating sub-phenomena in performance data in the
                      frequency domain},
      publisher    = {IEEE},
      reportid     = {FZJ-2018-00859},
      isbn         = {978-1-5090-5659-0},
      pages        = {105-106},
      year         = {2016},
      abstract     = {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},
      month         = {Oct},
      date          = {2016-10-23},
      organization  = {2016 IEEE 6th Symposium on Large Data
                       Analysis and Visualization, Baltimore,
                       MD (USA), 23 Oct 2016 - 28 Oct 2016},
      cin          = {JSC / JARA-HPC},
      cid          = {I:(DE-Juel1)JSC-20090406 / $I:(DE-82)080012_20140620$},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / ATMLPP - ATML Parallel Performance (ATMLPP)},
      pid          = {G:(DE-HGF)POF3-511 / G:(DE-Juel-1)ATMLPP},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.1109/LDAV.2016.7874340},
      url          = {https://juser.fz-juelich.de/record/842652},
}