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@MISC{Hoppe:1049786,
      author       = {Hoppe, Fabian and Gutiérrez Hermosillo Muriedas, Juan
                      Pedro and Palazoglu, Berkant and Fischer, Carola and Akdag,
                      Hakan and Comito, Claudia and Hees, Jörn and Jindra, Marc
                      and Korten, Till and Krajsek, Kai and Lemmen, Jonas and
                      Scheib, Lukas and Tarnawa, Michael and Coquelin, Daniel and
                      Debus, Charlotte and Hagemeier, Björn and Knechtges,
                      Philipp and Rüttgers, Alexander and Götz, Markus},
      title        = {{H}eat (v1.6.0); 1.6.0},
      reportid     = {FZJ-2025-05570},
      year         = {2025},
      abstract     = {Heat 1.6.0 Release Notes<br><br><b>Overview</b><br>With
                      Heat 1.6.0 we release the next major set of features,
                      including continued developments within the ESAPCA project
                      funded by the European Space Agency (ESA).<br>The main focus
                      of this release is a significant expansion of our
                      <b>distributed linear algebra</b> capabilities, including
                      full SVD, symmetric eigenvalue decomposition, and polar
                      decomposition, all leveraging the efficient "Zolotarev
                      approach". We also introduce Dynamic Mode Decomposition (DMD
                      and DMDc) for the analysis of complex systems.<br>On the
                      performance side, the <b>MPI communication layer</b> has
                      been enhanced to support buffer sizes exceeding the previous
                      $2^{31}-1$ element limit, enabling data transfers at an
                      unprecedented scale.<br>This release also introduces support
                      for the <b>Zarr data format</b> for I/O operations and
                      experimental hardware <b>acceleration on Apple Silicon</b>
                      via Metal Performance Shaders (MPS). Finally, the project's
                      build system has been modernized to use pyproject.toml,
                      improving its maintainability and alignment with current
                      Python packaging standards.<br>With this release, Heat
                      <b>drops support for Python 3.9</b>, now requiring Python
                      3.10 or newer, and extends compatibility to include PyTorch
                      versions up to 2.7.x.<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>[ESAPCA] Symmetric
                      Eigenvalue Decomposition (ht.linalg.eigh) and full SVD
                      (ht.linalg.svd) via Zolotarev Polar Decomposition (by
                      @mrfh92)</li><li>[ESAPCA] Dynamic Mode Decomposition with
                      and without control: ht.decomposition.DMD,
                      ht.decomposition.DMDc (by @mrfh92)</li><li>Support for
                      communicating MPI buffers larger than 2³¹-1 elements (by
                      @JuanPedroGHM)</li><li>I/O support for the Zarr data format:
                      ht.load_zarr, ht.save_zarr (by @Berkant03)</li><li>Expanded
                      QR decomposition for non tall-skinny matrices (by
                      @mrfh92)</li><li>Support for Apple MPS hardware acceleration
                      (by @ClaudiaComito)</li><li>Strided 1D convolution (by
                      @lolacaro)</li></ul><br><b>Linear Algebra \&
                      Decomposition</b><br>#1538 New decomposition module and PCA
                      interface (by @mrfh92) #1561 Distributed randomized SVD (by
                      @mrfh92) #1629 Incremental SVD/PCA (by @mrfh92) #1639
                      Dynamic Mode Decomposition (DMD) (by @mrfh92) #1744 QR
                      decomposition for non tall-skinny matrices and split=0 (by
                      @mrfh92) #1697 Polar decomposition (by @mrfh92) #1794
                      Dynamic Mode Decomposition with Control (DMDc) (by @mrfh92)
                      #1824 Symmetric Eigenvalue Decomposition (ht.linalg.eigh)
                      and full SVD (ht.linalg.svd) based on Zolotarev Polar
                      Decomposition (by @mrfh92)<br><br><b>Signal
                      Processing</b><br>#1865 Add stride argument for
                      ht.signal.convolve (by @lolacaro)<br><br><b>I/O</b><br>#1753
                      Added slice argument for ht.load_hdf5 (by @JuanPedroGHM)
                      #1766 Support for the zarr data format (by
                      @Berkant03)<br><br><b>Core \& MPI</b><br>#1765 Large data
                      counts support for MPI Communication (by
                      @JuanPedroGHM)<br><br><b>Other New Features</b><br>#1129
                      Support Apple MPS acceleration (by @ClaudiaComito) #1773
                      ht.eq, ht.ne now allow non-array operands (by @Marc-Jindra)
                      #1888 Expand NumPy functions to DNDarrays (by @mtar) #1895
                      Extends torch functions to DNDarrays (by @mtar)
                      <br><br><b>Bug Fixes</b><br>#1646 Raise Error for batched
                      vector inputs on ht.linalg.matmul (by @FOsterfeld) #993
                      Fixed precision loss in several functions when dtype is
                      float64 (by @neosunhan) #1756 Fix printing of
                      non-distributed data (by @ClaudiaComito) #1831 Remove
                      unnecessary contiguous() calls (by @Marc-Jindra) #1893
                      Bug-fixes during ESAPCA benchmarking (by @mrfh92) #1880 Exit
                      installation if conda environment cannot be activated (by
                      @thawn) #1905 Resolve bug in rSVD / wrong citation in
                      polar.py (by @mrfh92) #1921 Fix IO test failures with Zarr
                      v3.0.9 in ht.save_zarr() (by
                      @LScheib)<br><br><b>Interoperability \& Build
                      System</b><br>#1826 Make unit tests compatible with NumPy
                      2.x (by @Marc-Jindra) #1832 Transition to pyproject.toml,
                      Ruff, and mypy (by
                      @JuanPedroGHM)<br><br><b>Contributors</b><br>@Berkant03,
                      @ClaudiaComito, @FOsterfeld, @joernhees, @jolemse,
                      @JuanPedroGHM, @lolacaro, @LScheib, @Marc-Jindra, @mrfh92,
                      @mtar, @neosunhan, and @thawn.<br><br><b>Acknowledgements
                      and Disclaimer</b><br>The SVD, PCA, and DMD functionalities
                      were funded by the European Space Agency (ESA) under the
                      ESAPCA programme. This work is partially carried out under a
                      programme of, and funded by, the European Space Agency. Any
                      view expressed in this repository or related publications
                      can in no way be taken to reflect the official opinion of
                      the European Space Agency.},
      cin          = {JSC},
      cid          = {I:(DE-Juel1)JSC-20090406},
      pnm          = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
                      and Research Groups (POF4-511) / 5111 - Domain-Specific
                      Simulation $\&$ Data Life Cycle Labs (SDLs) and Research
                      Groups (POF4-511)},
      pid          = {G:(DE-HGF)POF4-5112 / G:(DE-HGF)POF4-5111},
      typ          = {PUB:(DE-HGF)33},
      doi          = {10.5281/ZENODO.17046332},
      url          = {https://juser.fz-juelich.de/record/1049786},
}