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@INPROCEEDINGS{Vogel:281765,
      author       = {Vogel, Andreas and Calotoiu, Alexandru and Strube,
                      Alexandre and Reiter, Sebastian and Nägel, Arne and Wolf,
                      Felix and Wittum, Gabriel},
      title        = {10,000 {P}erformance {M}odels per {M}inute –
                      {S}calability of the {UG}4 {S}imulation {F}ramework},
      volume       = {9233},
      address      = {Berlin, Heidelberg},
      publisher    = {Springe},
      reportid     = {FZJ-2016-01447},
      isbn         = {978-3-662-48095-3 (print)},
      series       = {Lecture Notes in Computer Science},
      pages        = {519 - 531},
      year         = {2015},
      comment      = {Euro-Par 2015: Parallel Processing / Träff, Jesper Larsson
                      (Editor) ; 2015, Chapter 40 ;},
      booktitle     = {Euro-Par 2015: Parallel Processing /
                       Träff, Jesper Larsson (Editor) ; 2015,
                       Chapter 40 ;},
      abstract     = {Numerically addressing scientific questions such as
                      simulating drug diffusion through the human stratum corneum
                      is a challenging task requiring complex codes and plenty of
                      computational resources. The UG4 framework is used for such
                      simulations, and though empirical tests have shown good
                      scalability so far, its sheer size precludes analytical
                      modeling of the entire code. We have developed a process
                      which combines the power of our automated performance
                      modeling method and the workflow manager JUBE to create
                      insightful models for entire UG4 simulations. Examining
                      three typical use cases, we identified and resolved a
                      previously unknown latent scalability bottleneck. In
                      collaboration with the code developers, we validated the
                      performance expectations in each of the use cases, creating
                      over 10,000 models in less than a minute, a feat previously
                      impossible without our automation techniques.},
      month         = {Aug},
      date          = {2015-08-24},
      organization  = {21st International Conference on
                       Parallel and Distributed Computing,
                       Vienna (Austria), 24 Aug 2015 - 28 Aug
                       2015},
      cin          = {JSC},
      ddc          = {004},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / Scalable Performance Analysis of Large-Scale
                      Parallel Applications $(jzam11_20091101)$ / ATMLPP - ATML
                      Parallel Performance (ATMLPP)},
      pid          = {G:(DE-HGF)POF3-511 / $G:(DE-Juel1)jzam11_20091101$ /
                      G:(DE-Juel-1)ATMLPP},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      UT           = {WOS:000363786800040},
      doi          = {10.1007/978-3-662-48096-0_40},
      url          = {https://juser.fz-juelich.de/record/281765},
}