TY  - COMP
AU  - Comito, Claudia
AU  - Coquelin, Daniel
AU  - Debus, Charlotte
AU  - Götz, Markus
AU  - Gutiérrez Hermosillo Muriedas, Juan Pedro
AU  - Hagemeier, Björn
AU  - Hoppe, Fabian
AU  - Knechtges, Philipp
AU  - Krajsek, Kai
AU  - Rüttgers, Alexander
AU  - Tarnawa, Michael
TI  - Heat (v1.4.0); 1.4.0
M1  - FZJ-2024-07520
PY  - 2024
AB  - Changes Documentation #1406 New tutorials for interactive parallel mode for both HPC and local usage (by @ClaudiaComito) 🔥 Features #1288 Batch-parallel K-means and K-medians (by @mrfh92) #1228 Introduce in-place-operators for arithmetics.py (by @LScheib) #1218 Distributed Fast Fourier Transforms (by @ClaudiaComito) Bug fixes #1363 ht.array constructor respects implicit torch device when copy is set to false (by @JuanPedroGHM) #1216 Avoid unnecessary gathering of distributed operand (by @samadpls) #1329 Refactoring of QR: stabilized Gram-Schmidt for split=1 and TS-QR for split=0 (by @mrfh92) Interoperability #1418 and #1290: Support PyTorch 2.2.2 (by @mtar) #1315 and #1337: Fix some NumPy deprecations in the core and statistics tests (by @FOsterfeld) Contributors @ClaudiaComito, @FOsterfeld, @JuanPedroGHM, @LScheib, @mrfh92, @mtar, @samadpls
LB  - PUB:(DE-HGF)33
DO  - DOI:10.5281/ZENODO.10991038
UR  - https://juser.fz-juelich.de/record/1034765
ER  -