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@MISC{Neuwirth:1018653,
      author       = {Neuwirth, Sarah},
      title        = {{PRACE} {A}da {L}ovelace {A}ward},
      publisher    = {PRACE},
      reportid     = {FZJ-2023-04956},
      year         = {2023},
      abstract     = {Dr. Sarah Neuwirth is this year’s winner of the PRACE Ada
                      Lovelace Award, which is annually awarded to a female
                      scientist making an outstanding contribution to and impact
                      on HPC in Europe and the world, and who serves as a role
                      model for women at the start of their scientific careers. In
                      her PhD thesis, she demonstrated for the first time that it
                      is possible to disaggregate CPUs and GPUs and to use them in
                      combination, thus enabling modular supercomputing – a
                      cornerstone on the path to exascale supercomputers. She
                      acted as principle investigator and contributed to a number
                      of European and nationally funded research projects, e.g. to
                      the DEEP series and the European Pilot for Exascale (EUPEX).
                      In addition to her technical work, she acted as member of
                      the Equal Opportunities Council at her university, joined
                      round tables discussing the role of women in HPC at
                      supercomputing conferences, and contributed in many other
                      ways to encourage young female talents to start a career in
                      STEM.At the time PRACE announced the awardee, Dr. Neuwirth
                      was deputy group leader of the Modular Supercomputing and
                      Quantum Computing Group at Goethe University Frankfurt in
                      Germany, and visiting scientist at the JSC. She recently
                      joined Johannes Gutenberg University Mainz as professor and
                      leader of the “High-Performance Computing and its
                      Applications” group.},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5122 - Future Computing $\&$ Big Data Systems (POF4-512)},
      pid          = {G:(DE-HGF)POF4-5122},
      typ          = {PUB:(DE-HGF)38},
      url          = {https://juser.fz-juelich.de/record/1018653},
}