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@INPROCEEDINGS{Baumeister:152038,
      author       = {Baumeister, Paul F. and Boettiger, Hans and Hater, Thorsten
                      and Knobloch, Michael and Maurer, Thilo and Nobile, Andrea
                      and Pleiter, Dirk and Vandenbergen, Nicolas},
      title        = {{C}haracterizing {P}erformance of {A}pplications on {B}lue
                      {G}ene/{Q}},
      volume       = {25},
      publisher    = {IOS Press},
      reportid     = {FZJ-2014-01858},
      isbn         = {978-1-61499-380-3},
      series       = {Advances in Parallel Computing},
      pages        = {113-122},
      year         = {2014},
      comment      = {Parallel Computing: Accelerating Computational Science and
                      Engineering (CSE)},
      booktitle     = {Parallel Computing: Accelerating
                       Computational Science and Engineering
                       (CSE)},
      abstract     = {Recently the latest generation of Blue Gene machines became
                      available. In this paper we introduce general metrics to
                      characterize the performance of applications and apply it to
                      a diverse set of applications running on Blue Gene/Q. The
                      applications range from regular, floating-point bound to
                      irregular event-simulator like types. We argue that the
                      proposed metrics are suitable to characterize the
                      performance for a larger set of computational science
                      applications running on today's massively-parallel systems.
                      They therefore do not only allow to assess usability of the
                      Blue Gene/Q architecture for the considered (types of)
                      applications. They also provide more general information on
                      application requirements and valuable input for evaluating
                      the usability of various architectural features, i.e.
                      information, which is needed for future co-design efforts
                      aiming for exascale performance.},
      month         = {Sep},
      date          = {2013-09-10},
      organization  = {International Conference on Parallel
                       Computing, Munich (Germany), 10 Sep
                       2013 - 13 Sep 2013},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {41G - Supercomputer Facility (POF2-41G21) / 411 -
                      Computational Science and Mathematical Methods (POF2-411) /
                      ATMLPP - ATML Parallel Performance (ATMLPP)},
      pid          = {G:(DE-HGF)POF2-41G21 / G:(DE-HGF)POF2-411 /
                      G:(DE-Juel-1)ATMLPP},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      UT           = {WOS:000452120400011},
      doi          = {10.3233/978-1-61499-381-0-113},
      url          = {https://juser.fz-juelich.de/record/152038},
}