%0 Computer Program
%A Palazoglu, Berkant
%A Hoppe, Fabian
%A Scheib, Lukas
%A Tarnawa, Michael
%A Akdag, Hakan
%A Comito, Claudia
%A Gutiérrez Hermosillo Muriedas, Juan Pedro
%A Hees, Jörn
%A Jindra, Marc
%A Korten, Till
%A Krajsek, Kai
%A Lemmen, Jonas
%A Coquelin, Daniel
%A Debus, Charlotte
%A Hagemeier, Björn
%A Knechtges, Philipp
%A Rüttgers, Alexander
%A Götz, Markus
%T Heat (v1.7.0); 1.7.0
%M FZJ-2026-00696
%D 2025
%X <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>
%F PUB:(DE-HGF)33
%9 Software
%R 10.5281/ZENODO.18019822
%U https://juser.fz-juelich.de/record/1052023