% IMPORTANT: The following is UTF-8 encoded.  This means that in the presence
% of non-ASCII characters, it will not work with BibTeX 0.99 or older.
% Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or
% “biber”.

@MISC{Geimer:917090,
      author       = {Geimer, Markus and Mohr, Bernd and Corbin, Gregor and
                      Daoud, Nour and Feld, Christian and Hermanns, Marc-André
                      and Knobloch, Michael and Reuter, Jan Andre and Saviankou,
                      Pavel and Schlütter, Marc and Visser, Anke and Wylie, Brian
                      J. N. and Zhukov, Ilya},
      title        = {{S}calasca {T}race {T}ools: {T}oolset for scalable
                      performance analysis of large-scale parallel applications
                      (v2.6.1); 2.6.1},
      reportid     = {FZJ-2023-00332},
      year         = {2022},
      abstract     = {Scalasca is a software tool that supports the performance
                      optimization of parallel programs by measuring and analyzing
                      their runtime behaviour. The analysis identifies potential
                      performance bottlenecks – in particular those concerning
                      communication and synchronization – and offers guidance in
                      exploring their causes.  Scalasca supports the performance
                      optimization of simulation codes on a wide range of current
                      HPC platforms. Its powerful analysis and intuitive result
                      presentation guides the developer through the tuning
                      process. Scalasca targets mainly scientific and engineering
                      applications based on the programming interfaces MPI and
                      OpenMP, including hybrid applications based on a combination
                      of the two. The tool has been specifically designed for use
                      on large-scale systems, but is also well suited for small-
                      and medium-scale HPC platforms. The software is available
                      for free download under the New BSD open-source license.},
      keywords     = {performance analysis (Other) / Score-P (Other) / Cube
                      (Other) / HPC (Other) / MPI (Other) / OpenMP (Other) / trace
                      tools (Other)},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
                      and Research Groups (POF4-511) / ATMLPP - ATML Parallel
                      Performance (ATMLPP)},
      pid          = {G:(DE-HGF)POF4-5112 / G:(DE-Juel-1)ATMLPP},
      typ          = {PUB:(DE-HGF)33},
      doi          = {10.5281/ZENODO.7440854},
      url          = {https://juser.fz-juelich.de/record/917090},
}