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@INPROCEEDINGS{Zhukov:202902,
      author       = {Zhukov, Ilya and Feld, Christian and Geimer, Markus and
                      Knobloch, Michael and Mohr, Bernd and Saviankou, Pavel},
      title        = {{S}calasca v2: {B}ack to the {F}uture},
      address      = {Cham},
      publisher    = {Springer International Publishing},
      reportid     = {FZJ-2015-05048},
      pages        = {1-24},
      year         = {2015},
      comment      = {Niethammer, Christoph (Editor) Chapter 1 ; ISBN:
                      978-3-319-16011-5},
      booktitle     = {Niethammer, Christoph (Editor) Chapter
                       1 ; ISBN: 978-3-319-16011-5},
      abstract     = {Scalasca is a well-established open-source toolset that
                      supports the performance optimization of parallel programs
                      by measuring and analyzing their runtime behavior. The
                      analysis identifies potential performance bottlenecks – in
                      particular those concerning communication and
                      synchronization – and offers guidance in exploring their
                      causes. The latest Scalasca v2 release series is based on
                      the community instrumentation and measurement infrastructure
                      Score-P, which is jointly developed by a consortium of
                      partners from Germany and the US. This significantly
                      improves interoperability with other performance analysis
                      tool suites such as Vampir and TAU due to the usage of the
                      two common data formats CUBE4 for profiles and the Open
                      Trace Format 2 (OTF2) for event trace data. This paper will
                      showcase recent as well as ongoing enhancements, such as
                      support for additional platforms (K computer, Intel Xeon
                      Phi) and programming models (POSIX threads, MPI-3, OpenMP4),
                      and features like the critical-path analysis. It also
                      summarizes the steps necessary for users to migrate from
                      Scalasca v1 to Scalasca v2.},
      month         = {Oct},
      date          = {2014-10-01},
      organization  = {Tools for High Performance Computing
                       2014, Stuttgart (Germany), 1 Oct 2014 -
                       2 Oct 2014},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {511 - Computational Science and Mathematical Methods
                      (POF3-511) / ATMLPP - ATML Parallel Performance (ATMLPP)},
      pid          = {G:(DE-HGF)POF3-511 / G:(DE-Juel-1)ATMLPP},
      typ          = {PUB:(DE-HGF)8},
      doi          = {10.1007/978-3-319-16012-2_1},
      url          = {https://juser.fz-juelich.de/record/202902},
}