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@MISC{Feld:917046,
      author       = {Feld, Christian and Jäkel, René and Lorenz, Daniel and
                      Wesarg, Bert and Schmidl, Dirk and Tschüter, Ronny and
                      Oleynik, Yury and Wagner, Michael and Eschweiler, Dominic
                      and Spazier, Johannes and Knüpfer, Andreas and Shende,
                      Sameer and Millstein, Suzanne and Biersdorff, Scott and
                      Geimer, Markus and Schlütter, Marc and Schmitt, Felix and
                      Ziegenbalg, Johannes and Zhukov, Ilya and Dietrich, Robert
                      and Geyer, Robin and Saviankou, Pavel and Knobloch, Michael
                      and Mijaković, Robert and Schöne, Robert and Winkler,
                      Frank and Ilsche, Thomas and Hermanns, Marc-André and
                      Brendel, Ronny and Oeste, Sebastian and Herold, Christian
                      and Sigl, Severin and Hilbrich, Tobias and Williams, William
                      and Klotz, Sven and Corbin, Gregor},
      title        = {{S}core-{P}: {S}calable performance measurement
                      infrastructure for parallel codes (v8.0); 8.0},
      reportid     = {FZJ-2023-00292},
      year         = {2022},
      abstract     = {The Score-P measurement infrastructure is a highly scalable
                      and easy-to-use tool suite for profiling, event tracing, and
                      online analysis of HPC applications. Score-P offers the user
                      a maximum of convenience by supporting a number of analysis
                      tools. Currently, it works with CubeGUI, Scalasca trace
                      tools, Vampir, Tau, and Extra-P and is open for other tools.
                      Score-P comes together with the new Open Trace Format
                      Version 2, the Cube4 profiling format and the Opari2
                      instrumenter. Score-P is available under the 3-clause BSD
                      Open Source license.},
      keywords     = {Performance measurement (Other) / Score-P (Other) /
                      instrumentation (Other) / sampling (Other) / HPC (Other) /
                      profiling (Other) / tracing (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.5761738},
      url          = {https://juser.fz-juelich.de/record/917046},
}