Open Access
Issue |
EPJ Web Conf.
Volume 251, 2021
25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|
|
---|---|---|
Article Number | 02054 | |
Number of page(s) | 8 | |
Section | Distributed Computing, Data Management and Facilities | |
DOI | https://doi.org/10.1051/epjconf/202125102054 | |
Published online | 23 August 2021 |
- D. Bourilkov, International Journal of Modern Physics A 34, 1930019 (2019) [Google Scholar]
- K. Albertsson, P. Altoe, D. Anderson, J. Anderson, M. Andrews, J.P.A. Espinosa, A. Aurisano, L. Basara, A. Bevan, W. Bhimji et al. , Machine learning in high energy physics community white paper (2019), 1807.02876 [Google Scholar]
- HEP ML Community, A Living Review of Machine Learning for Particle Physics, https://iml-wg.github.io/HEPML-LivingReview/ [Google Scholar]
- V. Mikuni, F. Canelli (2020), 2010.07106 [Google Scholar]
- M. Pierini, J.M. Duarte, N. Tran, M. Freytsis, Hls4ml lhc jet dataset (100 particles) (2020), https://doi.org/10.5281/zenodo.3602254 [Google Scholar]
- G. Kasieczka, B. Nachman, D. Shih, R&D Dataset for LHC Olympics 2020 Anomaly Detection Challenge (2019), https://doi.org/10.5281/zenodo.2629073 [Google Scholar]
- O. Cerri, T.Q. Nguyen, M. Pierini, M. Spiropulu, J.R. Vlimant, Journal of High Energy Physics 2019 (2019) [Google Scholar]
- M. Zaharia, R.S. Xin, P. Wendell, T. Das, M. Armbrust, A. Dave, X. Meng, J. Rosen, S. Venkataraman, M.J. Franklin et al. , Commun. ACM 59, 56–65 (2016) [Google Scholar]
- Databricks, https://databricks.com/ (2021), accessed: 2021-02-28 [Google Scholar]
- A. Sergeev, M.D. Balso, arXiv preprint arXiv:1802.05799 (2018) [Google Scholar]
- V. Mikuni, F. Canelli, Eur. Phys. J. Plus 135, 463 (2020), 2001.05311 [Google Scholar]
- M.M. Fard, T. Thonet, E. Gaussier, Deep k-means: Jointly clustering with k-means and learning representations (2018), 1806.10069 [Google Scholar]
- M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G.S. Corrado, A. Davis, J. Dean, M. Devin et al. , TensorFlow: Large-scale machine learning on heterogeneous systems (2015), software available from tensorflow.org, https://www.tensorflow.org/ [Google Scholar]
- M. Cacciari, G.P. Salam, G. Soyez, JHEP 04, 063 (2008), 0802.1189 [Google Scholar]
- M. Tanabashi et al. (Particle Data Group), Phys. Rev. D 98, 030001 (2018) [Google Scholar]
- The HDF Group, Hierarchical data format version 5 (2000-2010), http://www.hdfgroup.org/HDF5 [Google Scholar]
- V. Mikuni, Ucluster, https://github.com/ViniciusMikuni/UCluster (2020) [Google Scholar]
- M. Meister, S. Sheikholeslami, A.H. Payberah, V. Vlassov, J. Dowling, Maggy: Scalable Asynchronous Parallel Hyperparameter Search, in Proceedings of the 1st Workshop on Distributed Machine Learning (Association for Computing Machinery, New York, NY, USA, 2020), DistributedML’20, p. 28–33, ISBN 9781450381826, https://doi.org/10.1145/3426745.3431338 [Google Scholar]
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