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@MISC{Comito:1034768,
      author       = {Comito, Claudia and Coquelin, Daniel and Debus, Charlotte
                      and Götz, Markus and Gutiérrez Hermosillo Muriedas, Juan
                      Pedro and Hagemeier, Björn and Hoppe, Fabian and Knechtges,
                      Philipp and Krajsek, Kai and Rüttgers, Alexander and
                      Tarnawa, Michael and Osterfeld, Fynn and Nguyen Xuan, Tu and
                      Vaithinathan Aravindan, Ashwath},
      title        = {{H}eat (v1.5.0-rc1); 1.5.0-rc1},
      reportid     = {FZJ-2024-07523},
      year         = {2024},
      abstract     = {Changes Cluster #1593 Improved Batch Parallelization. (by
                      @mrfh92) Data #1529 Make dataset.ishuffle optional. (by
                      @krajsek) IO #1602 Improved load balancing when loading .npy
                      files from path. (by @Reisii) #1551 Improved load balancing
                      when loading .csv files from path. (by @Reisii) Linear
                      Algebra #1261 Batched matrix multiplication. (by
                      @FOsterfeld) #1504 Add solver for triangular systems. (by
                      @FOsterfeld) Manipulations #1419 Implement distributed
                      unfold operation. (by @FOsterfeld) Random #1508 Introduce
                      Batchparallel for RNG as default. (by @mrfh92) Signal #1515
                      Support batch 1-d convolution in ht.signal.convolve. (by
                      @ClaudiaComito) Statistics #1510 Support multiple axes for
                      ht.percentile. (by @ClaudiaComito) Sparse #1377 Distributed
                      Compressed Sparse Column Matrix. (by @Mystic-Slice) Other
                      #1618 Support mpi4py 4.x.x (by @JuanPedroGHM) Contributors
                      @ClaudiaComito, @FOsterfeld, @JuanPedroGHM, @Reisii,
                      @mrfh92, @mtar and @krajsek},
      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.13741463},
      url          = {https://juser.fz-juelich.de/record/1034768},
}