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@INPROCEEDINGS{Mohr:150965,
      author       = {Mohr, Bernd and Voevodin, Vladimir and Giménez, Judit and
                      Hagersten, Erik and Knüpfer, Andreas and Nikitenko, Dmitry
                      A. and Nilsson, Mats and Servat, Harald and Shah, Aamer and
                      Winkler, Frank and Wolf, Felix and Zhukov, Ilya},
      title        = {{T}he {HOPSA} {W}orkflow and {T}ools},
      address      = {Berlin, Heidelberg},
      publisher    = {Springer Berlin Heidelberg},
      reportid     = {FZJ-2014-00996},
      pages        = {127-146},
      year         = {2013},
      comment      = {Tools for High Performance Computing 2012},
      booktitle     = {Tools for High Performance Computing
                       2012},
      abstract     = {To maximise the scientific output of a high-performance
                      computing system, different stakeholders pursue different
                      strategies. While individual application developers are
                      trying to shorten the time to solution by optimising their
                      codes, system administrators are tuning the configuration of
                      the overall system to increase its throughput. Yet, the
                      complexity of today’s machines with their strong
                      interrelationship between application and system performance
                      presents serious challenges to achieving these goals. The
                      HOPSA project (HOlistic Performance System Analysis)
                      therefore sets out to create an integrated diagnostic
                      infrastructure for combined application and system-level
                      tuning – with the former provided by the EU and the latter
                      by the Russian project partners. Starting from system-wide
                      basic performance screening of individual jobs, an automated
                      workflow routes findings on potential bottlenecks either to
                      application developers or system administrators with
                      recommendations on how to identify their root cause using
                      more powerful diagnostic tools. Developers can choose from a
                      variety of mature performance-analysis tools developed by
                      our consortium. Within this project, the tools will be
                      further integrated and enhanced with respect to scalability,
                      depth of analysis, and support for asynchronous tasking, a
                      node-level paradigm playing an increasingly important role
                      in hybrid programs on emerging hierarchical and
                      heterogeneous systems.},
      month         = {Sep},
      date          = {2012-09-25},
      organization  = {6th International Parallel Tools
                       Workshop, Stuttgart (Germany), 25 Sep
                       2012 - 26 Sep 2012},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {411 - Computational Science and Mathematical Methods
                      (POF2-411) / HOPSA-EU - HOlistic Performance System
                      Analysis-EU (277463) / ATMLPP - ATML Parallel Performance
                      (ATMLPP)},
      pid          = {G:(DE-HGF)POF2-411 / G:(EU-Grant)277463 /
                      G:(DE-Juel-1)ATMLPP},
      typ          = {PUB:(DE-HGF)8 / PUB:(DE-HGF)7},
      doi          = {10.1007/978-3-642-37349-7_9},
      url          = {https://juser.fz-juelich.de/record/150965},
}