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@MISC{Feld:1006647,
      author       = {Feld, Christian and Jäkel, R. and Lorenz, Daniel and
                      Wesarg, B. and Schmidl, D. and Tschüter, R. and Oleynik, Y.
                      and Wagner, M. and Eschweiler, D. and Spazier, J. and
                      Knüpfer, A. and Shende, S. and Millstein, S. and
                      Biersdorff, S. and Geimer, Markus and Schlütter, Marc and
                      Schmitt, F. and Ziegenbalg, J. and Zhukov, Ilya and
                      Dietrich, R. and Geyer, R. and Saviankou, Pavel and
                      Knobloch, Michael and Mijaković, R. and Schöne, R. and
                      Winkler, F. and Ilsche, T. and Hermanns, Marc-André and
                      Brendel, R. and Oeste, S. and Herold, C. and Sigl, S. and
                      Hilbrich, T. and Williams, W. and Klotz, S. and Corbin,
                      Gregor and Reuter, Jan},
      title        = {{S}core-{P}: {S}calable performance measurement
                      infrastructure for parallel codes (v8.1)},
      reportid     = {FZJ-2023-01779},
      year         = {2023},
      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.7817192},
      url          = {https://juser.fz-juelich.de/record/1006647},
}