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@MISC{Schwitanski:998168,
      author       = {Schwitanski, Simon},
      title        = {{A}rtifact for '{M}odeling {S}ynchronization and
                      {C}onsistency for {D}ata {R}ace {D}etection in {R}emote
                      {M}emory {A}ccess {P}rograms'},
      reportid     = {RWTH-2024-11181},
      year         = {2025},
      note         = {The data is licensed under multiple licenses. The licenses
                      can either be found in the file itself or in the file
                      REUSE.toml. The licensing in this artifact is
                      REUSE-compliant (https://reuse.software).},
      abstract     = {This is the artifact of the dissertation 'Modeling
                      Synchronization and Consistency for Data Race Detection in
                      Remote Memory Access Programs'. In the dissertation, a
                      generalized data race detector for Remote Memory Access
                      Programs, named RMASanitizer, is developed. RMASanitizer is
                      evaluated in terms of classification quality and overhead by
                      applying it to small test cases and proxy applications using
                      different programming models (MPI RMA, OpenSHMEM, GASPI).
                      The artifact contains the source code of RMASanitizer and
                      all results (SPEC MPI vector clock overhead study,
                      RMARaceBench evaluation, overhead study on RMA proxy
                      applications) presented in the disstertation. Moreover, it
                      includes the complete infrastructure to reproduce those
                      results. Further information and instructions on
                      reproducibility are provided in the artifact itself.},
      cin          = {123010 / 120000 / 100000 / 022000},
      cid          = {$I:(DE-82)123010_20140620$ / $I:(DE-82)120000_20140620$ /
                      $I:(DE-82)100000_20140620$ / $I:(DE-82)022000_20140101$},
      typ          = {PUB:(DE-HGF)32},
      doi          = {10.18154/RWTH-2024-11181},
      url          = {https://publications.rwth-aachen.de/record/998168},
}