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@MISC{Coquelin:972166,
author = {Coquelin, Daniel and Comito, Claudia and Goetz, Markus and
Tarnawa, Michael and Hanselmann, Simon and Blind, Lena and
Debus, Charlie and Hagemeier, Björn and Krajsek, Kai and
Ohm, Jakob and von der Lehr, Fabrice and Siggel, Martin and
Bourgart, Benjamin and Schmitz, Simon and Markgraf,
Sebastian and Spataro, Luca and Glock, Philipp and
Roehrig-Zoellner, Melven and Knechtges, Philipp},
title = {helmholtz-analytics/heat: {H}eat 1.0: {D}ata {P}arallel
{N}eural {N}etworks, and more},
reportid = {FZJ-2023-01110},
year = {2021},
abstract = {Release Notes Heat v1.0 comes with some major updates: new
module nn for data-parallel neural networks Distributed
Asynchronous and Selective Optimization (DASO) to accelerate
network training on multi-GPU architectures support for
complex numbers major documentation overhaul support channel
on StackOverflow support PyTorch 1.8 stop supporting Python
3.6 many more updates and bug fixes, check out the
CHANGELOG},
cin = {JSC / IBG-3},
cid = {I:(DE-Juel1)JSC-20090406 / I:(DE-Juel1)IBG-3-20101118},
pnm = {5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs)
and Research Groups (POF4-511) / SLNS - SimLab Neuroscience
(Helmholtz-SLNS)},
pid = {G:(DE-HGF)POF4-5112 / G:(DE-Juel1)Helmholtz-SLNS},
typ = {PUB:(DE-HGF)33},
doi = {10.5281/ZENODO.4729531},
url = {https://juser.fz-juelich.de/record/972166},
}