Open Access
| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 05040 | |
| Number of page(s) | 5 | |
| Section | 5 - Software Development | |
| DOI | https://doi.org/10.1051/epjconf/202024505040 | |
| Published online | 16 November 2020 | |
- H.P. Bretz et al., Journal of Instrumentation 7, T08005 (2012), 1205.4912 [CrossRef] [Google Scholar]
- M. Erdmann et al., Journal of Physics: Conference Series 762, 012008 (2016) [CrossRef] [Google Scholar]
- M. Erdmann et al., Journal of Physics: Conference Series 898, 072045 (2017) [CrossRef] [Google Scholar]
- M. Erdmann et al., Journal of Physics: Conference Series 1085, 042044 (2018) [CrossRef] [Google Scholar]
- M. Erdmann et al., EPJ Web Conf. 214, 05021 (2019) [Google Scholar]
- VISPA Web [software], https://git.rwth-aachen.de/3pia/vispa/vispa-web [Google Scholar]
- Project Jupyter, JupyterLab is Ready for Users, https://blog.jupyter.org/jupyterlab-is-ready-for-users-5a6f039b8906 (accessed 2020-02-05) [Google Scholar]
- M. Abadi et al., TensorFlow: Large-scale machine learning on heterogeneous systems (2015), software available from tensorflow.org, https://www.tensorflow.org/ [Google Scholar]
- A. Paszke et al., Automatic differentiation in PyTorch, in NIPS-W (2017) [Google Scholar]
- F. Pedregosa et al., Journal of Machine Learning Research 12, 2825 (2011) [Google Scholar]
- D. Thain et al., Concurrency Practice and Experience 17, 323 (2005) [CrossRef] [Google Scholar]
- CherryPy [software], https://cherrypy.org/ [Google Scholar]
- RPyC [software], https://github.com/tomerfiliba/rpyc [Google Scholar]
- M. Erdmann et al., European Journal of Physics 35, 035018 (2014) [Google Scholar]
- D. van Asseldonk et al., Journal of Physics: Conference Series 664, 032031 (2015) [CrossRef] [Google Scholar]
- D. van Asseldonk et al., Nuclear and Particle Physics Proceedings 273-275, 2581 (2016) [CrossRef] [Google Scholar]
- Workshop on Big Data Science in Astroparticle Research, Aachen, Germany (2017, 2018, 2019), https://indico.scc.kit.edu/event/344, https://indico.scc.kit.edu/event/277, https://indico.scc.kit.edu/event/669/ [Google Scholar]
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