| Issue |
EPJ Web Conf.
Volume 251, 2021
25th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2021)
|
|
|---|---|---|
| Article Number | 02003 | |
| Number of page(s) | 7 | |
| Section | Distributed Computing, Data Management and Facilities | |
| DOI | https://doi.org/10.1051/epjconf/202125102003 | |
| Published online | 23 August 2021 | |
https://doi.org/10.1051/epjconf/202125102003
The fight against COVID-19: Running Folding@Home simulations on ATLAS resources
1 School of Physics and Astronomy, University of Manchester, Oxford Rd, Manchester, M139PL, UK
2 University of Texas at Arlington, 701 South Nedderman Drive, Arlington, TX 76019 USA
3 CERN, Esplanade des Particules 1, 1211 Meyrin, Switzerland
4 Deutsches Elektronen–Synchrotron (DESY), Notkestr. 85, 22607 Hamburg, Germany
5 Ludwig–Maximilians–Universität, Am Coulombwall 1, 85748 Garching bei München, Germany
Published online: 23 August 2021
Following the outbreak of the COVID–19 pandemic, the ATLAS experiment considered how it could most efficiently contribute using its distributed computing resources. After considering many suggestions, examining several potential projects and following the advice of the CERN COVID Task Force, it was decided to engage in the Folding@Home initiative, which provides payloads that perform protein folding simulations. This paper describes how ATLAS made a significant contribution to this project over the summer of 2020.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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