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arXiv · 2403.15873

Operational Experience and R&D results using the Google Cloud for High Energy Physics in the ATLAS experiment

Fernando Barreiro Megino·Kaushik De·Johannes Elmsheuser·Alexei Klimentov·Mario Lassnig·Miles Euell·Nikolai Hartmann·Tadashi Maeno·Verena Martinez Outschoorn·Jay Ajitbhai Sandesara·Dustin Sell
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Abstract

The ATLAS experiment at CERN relies on a worldwide distributed computing Grid infrastructure to support its physics program at the Large Hadron Collider. ATLAS has integrated cloud computing resources to complement its Grid infrastructure and conducted an R&D program on Google Cloud Platform. These initiatives leverage key features of commercial cloud providers: lightweight configuration and operation, elasticity and availability of diverse infrastructure. This paper examines the seamless integration of cloud computing services as a conventional Grid site within the ATLAS workflow management and data management systems, while also offering new setups for interactive, parallel analysis. It underscores pivotal results that enhance the on-site computing model and outlines several R&D projects that have benefited from large-scale, elastic resource provisioning models. Furthermore, this study discusses the impact of cloud-enabled R\&D projects in three domains: accelerators and AI/ML, ARM CPUs and columnar data analysis techniques.

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Fernando Barreiro Megino, Kaushik De, Johannes Elmsheuser, Alexei Klimentov, Mario Lassnig, Miles Euell, Nikolai Hartmann, Tadashi Maeno, Verena Martinez Outschoorn, Jay Ajitbhai Sandesara, Dustin Sell. 2024-03-23. Operational Experience and R&D results using the Google Cloud for High Energy Physics in the ATLAS experiment. https://doi.org/10.1142/s0217751x24500544

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