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@INPROCEEDINGS{Zhukov:153477,
      author       = {Zhukov, Ilya and Wylie, Brian J. N.},
      title        = {{A}ssessing {M}easurement and {A}nalysis {P}erformance and
                      {S}calability of {S}calasca 2.0},
      volume       = {8374},
      address      = {Berlin, Heidelberg},
      publisher    = {Springer Berlin Heidelberg},
      reportid     = {FZJ-2014-03075},
      isbn         = {978-3-642-54419-4 (print)},
      series       = {Lecture Notes in Computer Science},
      pages        = {627 - 636},
      year         = {2014},
      comment      = {Euro-Par 2013: Parallel Processing Workshops},
      booktitle     = {Euro-Par 2013: Parallel Processing
                       Workshops},
      abstract     = {The Scalasca toolset was developed to provide highly
                      scalable performance measurement and analysis of scientific
                      applications on current HPC platforms, including leadership
                      systems such as IBM BlueGene/Q and more traditional Linux
                      clusters. Its primary focus is support for C/C++/Fortran
                      applications using MPI and OpenMP, and mixed-mode
                      combinations thereof, offering detailed call-path profiles
                      for each process and thread produced by runtime
                      summarization or augmented with wait-state analysis of event
                      traces. A new generation of Scalasca (2.0) uses the
                      community-developed infrastructure comprising of Score-P and
                      associated components, while continuing to provide the
                      previous functionality. By comparing the new version of
                      Scalasca with its predecessor, using the applications from
                      the NPB3.3-MZ-MPI benchmark suite, we validate core
                      functionality and assess overheads and scalability. Although
                      adequate for general use, various aspects are identified for
                      further improvement, particularly for larger scales.},
      month         = {Aug},
      date          = {2013-08-26},
      organization  = {Euro-Par 2013: Parallel Processing
                       Workshops, Aachen (Germany), 26 Aug
                       2013 - 27 Aug 2013},
      cin          = {JSC},
      ddc          = {004},
      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          = {10.1007/978-3-642-54420-0_61},
      url          = {https://juser.fz-juelich.de/record/153477},
}