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@MISC{Palazoglu:1052023,
      author       = {Palazoglu, Berkant and Hoppe, Fabian and Scheib, Lukas and
                      Tarnawa, Michael and Akdag, Hakan and Comito, Claudia and
                      Gutiérrez Hermosillo Muriedas, Juan Pedro and Hees, Jörn
                      and Jindra, Marc and Korten, Till and Krajsek, Kai and
                      Lemmen, Jonas and Coquelin, Daniel and Debus, Charlotte and
                      Hagemeier, Björn and Knechtges, Philipp and Rüttgers,
                      Alexander and Götz, Markus},
      title        = {{H}eat (v1.7.0); 1.7.0},
      reportid     = {FZJ-2026-00696},
      year         = {2025},
      abstract     = {<b>Overview</b><br>Version 1.7.0 introduces significant
                      improvements in distributed data handling and numerical
                      linear algebra, including a PyTorch-compatible
                      DistributedSampler, randomized symmetric eigenvalue
                      decomposition, and incremental SVD from HDF5. The release
                      expands interoperability with partial Array API support and
                      PyTorch 2.9.1, adds new distributed operations such as
                      peak-to-peak, and delivers multiple robustness and
                      device-placement bug fixes across MPI, GPU, and I/O
                      workflows.<br>We are grateful to our community of users,
                      students, open-source contributors, the European Space
                      Agency, and the Helmholtz Association for their support and
                      feedback.<br><br><b>Highlights</b><ul><li>DistributedSampler
                      for efficient data loading and shuffling across multiple
                      nodes with PyTorch</li><li>Randomized Symmetric eigenvalue
                      decomposition (eigh)</li><li>Incremental SVD directly from
                      an HDF5 file</li><li>Partial support of the Array API
                      Standard (version: 2020.10), and API namespace under
                      $x.__array_namespace__(api_version='2020.10')</li><li>Distributed$
                      PTP (peak to peak) function</li></ul>},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5111 - Domain-Specific Simulation $\&$ Data Life Cycle Labs
                      (SDLs) and Research Groups (POF4-511) / 5112 - Cross-Domain
                      Algorithms, Tools, Methods Labs (ATMLs) and Research Groups
                      (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5111 / G:(DE-HGF)POF4-5112},
      typ          = {PUB:(DE-HGF)33},
      doi          = {10.5281/ZENODO.18019822},
      url          = {https://juser.fz-juelich.de/record/1052023},
}