Operational experience and R&D results using the Google Cloud for High-Energy Physics in the ATLAS experiment
- Univ. of Texas, Arlington, TX (United States)
- Brookhaven National Laboratory (BNL), Upton, NY (United States)
- European Organization for Nuclear Research (CERN), Geneva (Switzerland)
- Google, Washington, DC (United States)
- Ludwig Maximilian Univ. of Munich, Garching (Germany)
- Univ. of Massachusetts, Amherst, MA (United States)
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 infrastructures. Here 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.
- 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:
- 2429539
- Report Number(s):
- BNL--225903-2024-JAAM
- Journal Information:
- International Journal of Modern Physics A, Journal Name: International Journal of Modern Physics A Journal Issue: 13n14 Vol. 39; ISSN 0217-751X
- Publisher:
- World ScientificCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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