Operational experience and R&D results using the Google Cloud for High-Energy Physics in the ATLAS experiment-Reference-Cited by-同舟云学术

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

Published:2024-05-20 Issue:13n14 Volume:39 Page:
ISSN:0217-751X
Container-title:International Journal of Modern Physics A
language:en
Short-container-title:Int. J. Mod. Phys. A

Author:

Megino Fernando Barreiro¹,De Kaushik¹,Elmsheuser Johannes²^ORCID,Klimentov Alexei²^ORCID,Lassnig Mario³,Euell Miles⁴,Hartmann Nikolai⁵,Maeno Tadashi²,Outschoorn Verena Martinez⁶,Sandesara Jay Ajitbhai⁶,Sell Dustin⁴

Affiliation:

1. Department of Physics, University of Texas at Arlington, 502, Yates Street, Arlington, TX 76019, USA

2. Brookhaven National Laboratory, P. O. Box 5000, Upton, NY 11973-5000, USA

3. European Organization for Nuclear Research (CERN), 1211, Geneva 23, Switzerland

4. Google, 655, New York Ave NW, Washington, DC 20001, USA

5. Elementary Particle Physics Group, Ludwig-Maximilians-Universität München, Am Coulombwall 1, 85748 Garching, Germany

6. Department of Physics, University of Massachusetts at Amherst, Amherst, MA 01003, USA

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 infrastructures. 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.

Publisher

World Scientific Pub Co Pte Ltd

Link

https://www.worldscientific.com/doi/pdf/10.1142/S0217751X24500544

Reference21 articles.

1. Observation of a new particle in the search for the Standard Model Higgs boson with the ATLAS detector at the LHC

2. Observation of a new boson at a mass of 125 GeV with the CMS experiment at the LHC

3. The Data Ocean Project

4. Seamless integration of commercial Clouds with ATLAS Distributed Computing