| Issue |
EPJ Web Conf.
Volume 245, 2020
24th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2019)
|
|
|---|---|---|
| Article Number | 07054 | |
| Number of page(s) | 7 | |
| Section | 7 - Facilities, Clouds and Containers | |
| DOI | https://doi.org/10.1051/epjconf/202024507054 | |
| Published online | 16 November 2020 | |
https://doi.org/10.1051/epjconf/202024507054
Integrating Interactive Jupyter Notebooks at the BNL SDCC
1
Brookhaven National Laboratory, Physics Dept., P.O. Box 5000, Upton, NY 11973-5000, USA
2
Argonne National Laboratory, 9700 S. Cass Avenue, Lemont, IL 60439, USA
* e-mail: rind@bnl.gov
** e-mail: willsk@bnl.gov
Published online: 16 November 2020
At the SDCC we are deploying a Jupyterhub infrastructure to enable scientists from multiple disciplines to access our diverse compute and storage resources. One major design goal was to avoid rolling out yet another compute backend, but rather to leverage our pre-existing resources via our batch systems (HTCondor and Slurm). Challenges faced include creating a frontend that allows users to choose what HPC resources they have access to as well as selecting containers or environments, delegating authentication to a MFA-enabled proxy, and automating deployment of multiple hub instances. This paper covers the design and features of our Jupyterhub service.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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