001     1052023
005     20260120203625.0
024 7 _ |a 10.5281/ZENODO.18019822
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037 _ _ |a FZJ-2026-00696
100 1 _ |a Palazoglu, Berkant
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245 _ _ |a Heat (v1.7.0)
250 _ _ |a 1.7.0
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520 _ _ |a Overview
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.
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.

Highlights
  • DistributedSampler for efficient data loading and shuffling across multiple nodes with PyTorch
  • Randomized Symmetric eigenvalue decomposition (eigh)
  • Incremental SVD directly from an HDF5 file
  • Partial support of the Array API Standard (version: 2020.10), and API namespace under x.__array_namespace__(api_version='2020.10')
  • Distributed PTP (peak to peak) function

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700 1 _ |a Gutiérrez Hermosillo Muriedas, Juan Pedro
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700 1 _ |a Hees, Jörn
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LibraryCollectionCLSMajorCLSMinorLanguageAuthor
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