Software FZJ-2026-00696

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Heat (v1.7.0)

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2025

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Abstract: <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>


Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)
Research Program(s):
  1. 5111 - Domain-Specific Simulation & Data Life Cycle Labs (SDLs) and Research Groups (POF4-511) (POF4-511)
  2. 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) (POF4-511)

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Dokumenttypen > Andere > Software
Workflowsammlungen > Öffentliche Einträge
Institutssammlungen > JSC
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 Datensatz erzeugt am 2026-01-20, letzte Änderung am 2026-01-20



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