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| Home > Publications database > helmholtz-analytics/heat: Heat 1.0: Data Parallel Neural Networks, and more > print |
| Home > Publications database > helmholtz-analytics/heat: Heat 1.0: Data Parallel Neural Networks, and more > print |
| 001 | 972166 | ||
| 005 | 20230228121559.0 | ||
| 024 | 7 | _ | |a 10.5281/ZENODO.4729531 |2 doi |
| 037 | _ | _ | |a FZJ-2023-01110 |
| 100 | 1 | _ | |a Coquelin, Daniel |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a helmholtz-analytics/heat: Heat 1.0: Data Parallel Neural Networks, and more |
| 260 | _ | _ | |c 2021 |
| 336 | 7 | _ | |a Software |2 DCMI |
| 336 | 7 | _ | |a Software |b sware |m sware |0 PUB:(DE-HGF)33 |s 1676439239_22532 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a MISC |2 BibTeX |
| 336 | 7 | _ | |a Computer Program |0 6 |2 EndNote |
| 336 | 7 | _ | |a OTHER |2 ORCID |
| 336 | 7 | _ | |a Software |2 DataCite |
| 520 | _ | _ | |a 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 |
| 536 | _ | _ | |a 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) |0 G:(DE-HGF)POF4-5112 |c POF4-511 |f POF IV |x 0 |
| 536 | _ | _ | |a SLNS - SimLab Neuroscience (Helmholtz-SLNS) |0 G:(DE-Juel1)Helmholtz-SLNS |c Helmholtz-SLNS |x 1 |
| 588 | _ | _ | |a Dataset connected to DataCite |
| 700 | 1 | _ | |a Comito, Claudia |0 P:(DE-Juel1)174573 |b 1 |e Corresponding author |
| 700 | 1 | _ | |a Goetz, Markus |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Tarnawa, Michael |0 P:(DE-Juel1)178977 |b 3 |
| 700 | 1 | _ | |a Hanselmann, Simon |0 P:(DE-HGF)0 |b 4 |
| 700 | 1 | _ | |a Blind, Lena |0 P:(DE-Juel1)176623 |b 5 |
| 700 | 1 | _ | |a Debus, Charlie |0 P:(DE-HGF)0 |b 6 |
| 700 | 1 | _ | |a Hagemeier, Björn |0 P:(DE-Juel1)132123 |b 7 |u fzj |
| 700 | 1 | _ | |a Krajsek, Kai |0 P:(DE-Juel1)129347 |b 8 |
| 700 | 1 | _ | |a Ohm, Jakob |0 P:(DE-HGF)0 |b 9 |
| 700 | 1 | _ | |a von der Lehr, Fabrice |0 P:(DE-HGF)0 |b 10 |
| 700 | 1 | _ | |a Siggel, Martin |0 P:(DE-HGF)0 |b 11 |
| 700 | 1 | _ | |a Bourgart, Benjamin |0 P:(DE-Juel1)171178 |b 12 |
| 700 | 1 | _ | |a Schmitz, Simon |0 P:(DE-HGF)0 |b 13 |
| 700 | 1 | _ | |a Markgraf, Sebastian |0 P:(DE-HGF)0 |b 14 |
| 700 | 1 | _ | |a Spataro, Luca |0 P:(DE-HGF)0 |b 15 |
| 700 | 1 | _ | |a Glock, Philipp |0 P:(DE-HGF)0 |b 16 |
| 700 | 1 | _ | |a Roehrig-Zoellner, Melven |0 P:(DE-HGF)0 |b 17 |
| 700 | 1 | _ | |a Knechtges, Philipp |0 P:(DE-HGF)0 |b 18 |
| 773 | _ | _ | |a 10.5281/ZENODO.4729531 |
| 909 | C | O | |o oai:juser.fz-juelich.de:972166 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 1 |6 P:(DE-Juel1)174573 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)178977 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 7 |6 P:(DE-Juel1)132123 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 8 |6 P:(DE-Juel1)129347 |
| 913 | 1 | _ | |a DE-HGF |b Key Technologies |l Engineering Digital Futures – Supercomputing, Data Management and Information Security for Knowledge and Action |1 G:(DE-HGF)POF4-510 |0 G:(DE-HGF)POF4-511 |3 G:(DE-HGF)POF4 |2 G:(DE-HGF)POF4-500 |4 G:(DE-HGF)POF |v Enabling Computational- & Data-Intensive Science and Engineering |9 G:(DE-HGF)POF4-5112 |x 0 |
| 914 | 1 | _ | |y 2022 |
| 920 | 1 | _ | |0 I:(DE-Juel1)JSC-20090406 |k JSC |l Jülich Supercomputing Center |x 0 |
| 920 | 1 | _ | |0 I:(DE-Juel1)IBG-3-20101118 |k IBG-3 |l Agrosphäre |x 1 |
| 980 | _ | _ | |a sware |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a I:(DE-Juel1)IBG-3-20101118 |
| 980 | _ | _ | |a UNRESTRICTED |
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