| Hauptseite > Publikationsdatenbank > Heat (v1.7.0) |
| Software | FZJ-2026-00696 |
; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ;
2025
This record in other databases:
Please use a persistent id in citations: doi:10.5281/ZENODO.18019822
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>
|
The record appears in these collections: |