The ATLAS Workflow Management System Evolution in the LHC Run3 and towards the High-Luminosity LHC era

Journal Article · 06 May 2024 · EPJ Web of Conferences (Online)

DOI: https://doi.org/10.1051/epjconf/202429504043 · OSTI ID:2448347

Pages, Andrés Pacheco ^[1]; Klimentov, Alexei ^[2]

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1. Inst. for High Energy Physics (IFAE), Barcelona (Spain); Univ. Autonoma de Barcelona (Spain)
2. Brookhaven National Laboratory (BNL), Upton, NY (United States)

The ATLAS experiment has 18+ years of experience using workload management systems to deploy and develop workflows to process and to simulate data on the distributed computing infrastructure. Simulation, processing and analysis of LHC experiment data require the coordinated work of heterogeneous computing resources. In particular, the ATLAS experiment utilizes the resources of 250 computing centers worldwide, the power of supercomputing centres, and national, academic and commercial cloud computing resources. In this contribution, we present new techniques for cost-effectively improving efficiency introduced in workflow management system software. The evolution from a mesh framework to new types of computing facilities such as cloud and HPCs is described, as well as new types of production and analysis workflows.

• Research Organization: Brookhaven National Laboratory (BNL), Upton, NY (United States)
• Sponsoring Organization: USDOE Office of Science (SC), High Energy Physics (HEP)
• Grant/Contract Number: SC0012704
• OSTI ID: 2448347
• Report Number(s): BNL--226158-2024-JAAM
• Journal Information: EPJ Web of Conferences (Online), Journal Name: EPJ Web of Conferences (Online) Vol. 295; ISSN 2100-014X
• Publisher: EDP SciencesCopyright Statement
• Country of Publication: United States
• Language: English