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001052023 005__ 20260120203625.0
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001052023 520__ $$a<b>Overview</b><br>Version 1.7.0 introduces significant improvements in distributed data handling and numerical linear algebra, including a PyTorch-compatible DistributedSampler, randomized symmetric eigenvalue decomposition, and incremental SVD from HDF5. The release expands interoperability with partial Array API support and PyTorch 2.9.1, adds new distributed operations such as peak-to-peak, and delivers multiple robustness and device-placement bug fixes across MPI, GPU, and I/O workflows.<br>We are grateful to our community of users, students, open-source contributors, the European Space Agency, and the Helmholtz Association for their support and feedback.<br><br><b>Highlights</b><ul><li>DistributedSampler for efficient data loading and shuffling across multiple nodes with PyTorch</li><li>Randomized Symmetric eigenvalue decomposition (eigh)</li><li>Incremental SVD directly from an HDF5 file</li><li>Partial support of the Array API Standard (version: 2020.10), and API namespace under x.__array_namespace__(api_version='2020.10')</li><li>Distributed PTP (peak to peak) function</li></ul>
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001052023 7001_ $$0P:(DE-HGF)0$$aHoppe, Fabian$$b1
001052023 7001_ $$0P:(DE-HGF)0$$aScheib, Lukas$$b2
001052023 7001_ $$0P:(DE-Juel1)178977$$aTarnawa, Michael$$b3$$ufzj
001052023 7001_ $$0P:(DE-HGF)0$$aAkdag, Hakan$$b4
001052023 7001_ $$0P:(DE-Juel1)174573$$aComito, Claudia$$b5$$eCorresponding author$$ufzj
001052023 7001_ $$0P:(DE-HGF)0$$aGutiérrez Hermosillo Muriedas, Juan Pedro$$b6
001052023 7001_ $$0P:(DE-HGF)0$$aHees, Jörn$$b7
001052023 7001_ $$0P:(DE-Juel1)206769$$aJindra, Marc$$b8$$ufzj
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001052023 7001_ $$0P:(DE-Juel1)132123$$aHagemeier, Björn$$b14$$ufzj
001052023 7001_ $$0P:(DE-HGF)0$$aKnechtges, Philipp$$b15
001052023 7001_ $$0P:(DE-HGF)0$$aRüttgers, Alexander$$b16
001052023 7001_ $$0P:(DE-Juel1)162390$$aGötz, Markus$$b17
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