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@INPROCEEDINGS{Mao:171880,
      author       = {Mao, Guoyong and Böhme, David and Hermanns, Marc-André
                      and Geimer, Markus and Lorenz, Daniel and Wolf, Felix},
      title        = {{C}atching {I}dlers with {E}ase: {A} {L}ightweight
                      {W}ait-{S}tate {P}rofiler for {MPI} {P}rograms},
      address      = {New York, NY, USA},
      publisher    = {ACM Press},
      reportid     = {FZJ-2014-05436},
      isbn         = {978-1-4503-2875-3},
      pages        = {103},
      year         = {2014},
      comment      = {Proceedings of the 21st European MPI Users' Group Meeting},
      booktitle     = {Proceedings of the 21st European MPI
                       Users' Group Meeting},
      abstract     = {Load imbalance usually introduces wait states into the
                      execution of parallel programs. Being able to identify and
                      quantify wait states is therefore essential for the
                      diagnosis and remediation of this phenomenon. An established
                      method of detecting wait states is to generate event traces
                      and compare relevant timestamps across process boundaries.
                      However, large trace volumes usually prevent the analysis of
                      longer execution periods. In this paper, we present an
                      extremely lightweight wait-state profiler which does not
                      rely on traces that can be used to estimate wait states in
                      MPI codes with arbitrarily long runtimes. The profiler
                      combines scalability with portability and low overhead.},
      month         = {Sep},
      date          = {2014-09-09},
      organization  = {EuroMPI/ASIA 21st European MPI Users'
                       Group Meeting, Kyoto (Japan), 9 Sep
                       2014 - 12 Sep 2014},
      cin          = {JSC},
      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          = {10.1145/2642769.2642783},
      url          = {https://juser.fz-juelich.de/record/171880},
}