Open Access
Issue
EPJ Web Conf.
Volume 251, 2021
25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
Article Number 02067
Number of page(s) 10
Section Distributed Computing, Data Management and Facilities
DOI https://doi.org/10.1051/epjconf/202125102067
Published online 23 August 2021
  1. Vallecorsa, Sofia, Carminati, Federico, Khattak, Gulrukh, EPJ Web Conf. 214, 02010 (2019) [Google Scholar]
  2. A.A. Pol, V. Berger, G. Cerminara, C. Germain, M. Pierini, Tech. Rep. arXiv arXiv:2010.05531 (2020), presented at ICMLA 2019, https://cds.cern.ch/record/2742923 [Google Scholar]
  3. D. Golubovic, T.O. James, E. Meschi, E. Puljak, D. Rabady, A.Z. Rashid, H. Sakulin, E. Vourliotis, P. Zejdl, 40 MHz Scouting with Deep Learning in CMS, in Connecting the Dots 2020 (2020) [Google Scholar]
  4. Kubeflow, https://www.kubeflow.org/ (2021), accessed: 2021-02-28 [Google Scholar]
  5. Kubernetes namespaces, https://kubernetes.io/docs/concepts/overview/working-with-objects/namespaces/ (2021), accessed: 2021-02-28 [Google Scholar]
  6. Project jupyter, https://jupyter.org (2021), accessed: 2021-02-28 [Google Scholar]
  7. Kale, https://github.com/kubeflow-kale/kale (2021), accessed: 2021-02-28 [Google Scholar]
  8. Yaml, https://www.yaml.org/ (2021), accessed: 2021-02-28 [Google Scholar]
  9. J. George, C. Gao, R. Liu, H.G. Liu, Y. Tang, R. Pydipaty, A.K. Saha, A scalable and cloud-native hyperparameter tuning system (2020), 2006.02085 [Google Scholar]
  10. P. Liashchynskyi, P. Liashchynskyi, Grid search, random search, genetic algorithm: A big comparison for nas (2019), 1912.06059 [Google Scholar]
  11. J. Snoek, H. Larochelle, R.P. Adams, Practical Bayesian Optimization of Machine Learning Algorithms, in Advances in Neural Information Processing Systems, edited by F. Pereira, C.J.C. Burges, L. Bottou, K.Q. Weinberger (Curran Associates, Inc., 2012), Vol. 25, https://proceedings.neurips.cc/paper/2012/file/05311655a15b75fab86956663e1819cd-Paper.pdf [Google Scholar]
  12. Distributed tensorflow, https://www.tensorflow.org/guide/distributed_training (2021), accessed: 2021-02-28 [Google Scholar]
  13. Distributed pytorch, https://pytorch.org/tutorials/intermediate/ddp_tutorial.html (2021), accessed: 2021-02-28 [Google Scholar]
  14. Eos open storage, https://eos-web.web.cern.ch/eos-web/ (2021), accessed: 2021-02-28 [Google Scholar]
  15. Knative, https://knative.dev/ (2021), accessed: 2021-02-28 [Google Scholar]
  16. Kubeflow tfjob, https://www.kubeflow.org/docs/components/training/tftraining (2021), accessed: 2021-02-28 [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.