CERN Accelerating science

Article
Report number arXiv:2403.03494
Title Scalable ATLAS pMSSM computational workflows using containerised REANA reusable analysis platform
Author(s) Donadoni, Marco (CERN) ; Feickert, Matthew (U. Wisconsin, Madison (main)) ; Heinrich, Lukas (Munich, Max Planck Inst.) ; Liu, Yang (SYSU, Guangzhou) ; Mečionis, Audrius (CERN) ; Moisieienkov, Vladyslav (CERN) ; Šimko, Tibor (CERN) ; Stark, Giordon (UC, Santa Cruz, Inst. Part. Phys.) ; García, Marco Vidal (CERN)
Publication 2024
Imprint 2024-03-06
Number of pages 8
Note 8 pages, 9 figures. Contribution to the Proceedings of the 26th International Conference on Computing In High Energy and Nuclear Physics (CHEP 2023)
In: EPJ Web Conf. 295 (2024) 04035
In: 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.04035
DOI 10.1051/epjconf/202429504035
Subject category hep-ex ; Particle Physics - Experiment ; cs.DC ; Computing and Computers
Abstract 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.
Copyright/License publication: © 2024 The Authors (License: CC-BY-4.0)
preprint: (License: CC BY-SA 4.0)



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 Zapis kreiran 2024-03-14, zadnja izmjena 2024-10-06


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