| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 04035 | |
| Number of page(s) | 8 | |
| Section | Distributed Computing | |
| DOI | https://doi.org/10.1051/epjconf/202429504035 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429504035
Scalable ATLAS pMSSM computational workflows using containerised REANA reusable analysis platform
1 CERN, Geneva, Switzerland
2 University of Wisconsin-Madison, Madison, United States
3 Max-Planck-Institut für Physik, München, Germany
4 Sun Yat-Sen University, China
5 SCIPP, UC Santa Cruz, United States
* Corresponding author e-mail: tibor.simko@cern.ch
Published online: 6 May 2024
In this paper we describe the development of a streamlined framework for large-scale ATLAS pMSSM reinterpretations of LHC Run-2 analyses using containerised computational workflows. The project is looking to assess the global coverage of BSM physics and requires running O(5k) computational workflows representing pMSSM model points. Following ATLAS Analysis Preservation policies, many analyses have been preserved as containerised Yadage workflows, and after validation were added to a curated selection for the pMSSM study. To run the workflows at scale, we utilised the REANA reusable analysis platform. We describe how the REANA platform was enhanced to ensure the best concurrent throughput by internal service scheduling changes. We discuss the scalability of the approach on Kubernetes clusters from 500 to 5000 cores. Finally, we demonstrate a possibility of using additional ad-hoc public cloud infrastructure resources by running the same workflows on the Google Cloud Platform.
© 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.
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.