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| Hauptseite > Publikationsdatenbank > Heat - Helmholtz Analytics Toolkit - v1.2.1 > print |
| 001 | 972165 | ||
| 005 | 20230228121559.0 | ||
| 024 | 7 | _ | |a 10.5281/ZENODO.7385611 |2 doi |
| 037 | _ | _ | |a FZJ-2023-01109 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Götz, Markus |0 P:(DE-HGF)0 |b 0 |
| 245 | _ | _ | |a Heat - Helmholtz Analytics Toolkit - v1.2.1 |
| 250 | _ | _ | |a 1.2.1 |
| 260 | _ | _ | |c 2022 |
| 336 | 7 | _ | |a Software |2 DCMI |
| 336 | 7 | _ | |a Software |b sware |m sware |0 PUB:(DE-HGF)33 |s 1676439224_16715 |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 Changes: Support PyTorch 1.13.0; 🐛 Bug Fixes #1038 Lanczos decomposition linalg.solver.lanczos : Support double precision, complex data types (by @ClaudiaComito) #1034 ht.array , closed loophole allowing DNDarray construction with incompatible shapes of local arrays (by @Mystic-Slice) Linear Algebra #1038 Lanczos decomposition linalg.solver.lanczos : Support double precision, complex data types (by @ClaudiaComito) 🧪 Testing #1025 mirror repository on gitlab + ci (by @mtar) #1014 fix: set cuda rng state on gpu tests for test_random.py (by @JuanPedroGHM) Contributors @ClaudiaComito, @JuanPedroGHM, @Mystic-Slice, @coquelin77, @mtar, @github-actions, @github-actions[bot] |
| 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 Debus, Charlotte |0 P:(DE-HGF)0 |b 1 |
| 700 | 1 | _ | |a Coquelin, Daniel |0 P:(DE-HGF)0 |b 2 |
| 700 | 1 | _ | |a Krajsek, Kai |0 P:(DE-Juel1)129347 |b 3 |
| 700 | 1 | _ | |a Comito, Claudia |0 P:(DE-Juel1)174573 |b 4 |e Corresponding author |
| 700 | 1 | _ | |a Knechtges, Philipp |0 P:(DE-HGF)0 |b 5 |
| 700 | 1 | _ | |a Hagemeier, Björn |0 P:(DE-Juel1)132123 |b 6 |
| 700 | 1 | _ | |a Tarnawa, Michael |0 P:(DE-Juel1)178977 |b 7 |
| 700 | 1 | _ | |a Hanselmann, Simon |0 P:(DE-HGF)0 |b 8 |
| 700 | 1 | _ | |a Siggel, Martin |0 P:(DE-HGF)0 |b 9 |
| 700 | 1 | _ | |a Basermann, Achim |0 P:(DE-HGF)0 |b 10 |
| 700 | 1 | _ | |a Streit, Achim |0 P:(DE-HGF)0 |b 11 |
| 773 | _ | _ | |a 10.5281/ZENODO.7385611 |
| 909 | C | O | |o oai:juser.fz-juelich.de:972165 |p VDB |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 3 |6 P:(DE-Juel1)129347 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 6 |6 P:(DE-Juel1)132123 |
| 910 | 1 | _ | |a Forschungszentrum Jülich |0 I:(DE-588b)5008462-8 |k FZJ |b 7 |6 P:(DE-Juel1)178977 |
| 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 |
| 980 | _ | _ | |a sware |
| 980 | _ | _ | |a VDB |
| 980 | _ | _ | |a I:(DE-Juel1)JSC-20090406 |
| 980 | _ | _ | |a UNRESTRICTED |
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