Software

FZJ-2023-01110

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png helmholtz-analytics/heat: Heat 1.0: Data Parallel Neural Networks, and more

Coquelin, D. ; Comito, C. (Corresponding author)FZJ* ; Goetz, M. ; Tarnawa, M.FZJ* ; Hanselmann, S. ; Blind, L. ; Debus, C. ; Hagemeier, B.FZJ* ; Krajsek, K.FZJ* ; Ohm, J. ; von der Lehr, F. ; Siggel, M. ; Bourgart, B. ; Schmitz, S. ; Markgraf, S. ; Spataro, L. ; Glock, P. ; Roehrig-Zoellner, M. ; Knechtges, P.

2021

This record in other databases:

Please use a persistent id in citations: doi:10.5281/ZENODO.4729531

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

---

Contributing Institute(s):

1. Jülich Supercomputing Center (JSC)
2. Agrosphäre (IBG-3)

Research Program(s):

1. 5112 - Cross-Domain Algorithms, Tools, Methods Labs (ATMLs) and Research Groups (POF4-511) (POF4-511)
2. SLNS - SimLab Neuroscience (Helmholtz-SLNS) (Helmholtz-SLNS)

Appears in the scientific report 2022

---