| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 07027 | |
| Number of page(s) | 8 | |
| Section | Facilities and Virtualization | |
| DOI | https://doi.org/10.1051/epjconf/202429507027 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429507027
Integration of the Barcelona Supercomputing Center for CMS computing: Towards large scale production
1 IFAE, The Barcelona Institute of Science and Technology, 08193 Bellaterra (Barcelona), Spain
2 PIC, 08193 Bellaterra (Barcelona), Spain
3 CIEMAT, Scientific Computing Unit, 28040 Madrid, Spain
4 Autonomous University of Barcelona, 08193 Bellaterra (Barcelona), Spain
** Corresponding author: jflix@pic.es
Published online: 6 May 2024
The CMS experiment is working to integrate an increasing number of High Performance Computing (HPC) resources into its distributed computing infrastructure. The case of the Barcelona Supercomputing Center (BSC) is particularly challenging as severe network restrictions prevent the use of CMS standard computing solutions. The CIEMAT CMS group has performed significant work in order to overcome these constraints and make BSC resources available to CMS. The developments include adapting the workload management tools, replicating the CMS software repository to BSC storage, providing an alternative access to detector conditions data, and setting up a service to transfer produced output data to a nearby storage facility. In this work, we discuss the current status of this integration activity and present recent developments, such as a front-end service to improve slot usage efficiency and an enhanced transfer service that supports the staging of input data for workflows at BSC. Moreover, significant efforts have been devoted to improving the scalability of the deployed solution, automating its operation, and simplifying the matchmaking of CMS workflows that are suitable for execution at BSC.
© The Authors, published by EDP Sciences, 2024
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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