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@MISC{Coquelin:972166,
      author       = {Coquelin, Daniel and Comito, Claudia and Goetz, Markus and
                      Tarnawa, Michael and Hanselmann, Simon and Blind, Lena and
                      Debus, Charlie and Hagemeier, Björn and Krajsek, Kai and
                      Ohm, Jakob and von der Lehr, Fabrice and Siggel, Martin and
                      Bourgart, Benjamin and Schmitz, Simon and Markgraf,
                      Sebastian and Spataro, Luca and Glock, Philipp and
                      Roehrig-Zoellner, Melven and Knechtges, Philipp},
      title        = {helmholtz-analytics/heat: {H}eat 1.0: {D}ata {P}arallel
                      {N}eural {N}etworks, and more},
      reportid     = {FZJ-2023-01110},
      year         = {2021},
      abstract     = {Release Notes Heat v1.0 comes with some major updates: new
                      module nn for data-parallel neural networks Distributed
                      Asynchronous and Selective Optimization (DASO) to accelerate
                      network training on multi-GPU architectures support for
                      complex numbers major documentation overhaul support channel
                      on StackOverflow support PyTorch 1.8 stop supporting Python
                      3.6 many more updates and bug fixes, check out the
                      CHANGELOG},
      cin          = {JSC / IBG-3},
      cid          = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)IBG-3-20101118},
      pnm          = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
                      and Research Groups (POF4-511) / SLNS - SimLab Neuroscience
                      (Helmholtz-SLNS)},
      pid          = {G:(DE-HGF)POF4-5112 / G:(DE-Juel1)Helmholtz-SLNS},
      typ          = {PUB:(DE-HGF)33},
      doi          = {10.5281/ZENODO.4729531},
      url          = {https://juser.fz-juelich.de/record/972166},
}