Published 2021
| Version v1
Journal article
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 (United Kingdom)
- 2. University of Texas at Arlington, 701 South Nedderman Drive, Arlington, TX 76019 (United States)
- 3. CERN, Esplanade des Particules 1, 1211 Meyrin (Switzerland)
- 4. Deutsches Elektronen–Synchrotron (DESY), Notkestr. 85, 22607 Hamburg (Germany)
Description
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.
Availability note (English)
Available from https://www.epj-conferences.org/articles/epjconf/pdf/2021/05/epjconf_chep2021_02003.pdf; https://doaj.org/article/5fe633e7513f4412bc58550f24a1623fAdditional details
Identifiers
Publishing Information
- Journal Title
- EPJ. Web of Conferences
- Journal Volume
- 251
- Journal Page Range
- vp.
- ISSN
- 2100-014X
Conference
- Title
- 25. International Conference on Computing in High Energy and Nuclear Physics
- Acronym
- CHEP 2021
- Dates
- 17-21 May 2021
- Place
- Geneva (Switzerland)
INIS
- Country of Publication
- France
- Country of Input or Organization
- France
- INIS RN
- 53090952
- Subject category
- S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- ATLAS DETECTOR; CERN; COMPUTERIZED SIMULATION
- Descriptors DEC
- INTERNATIONAL ORGANIZATIONS; MEASURING INSTRUMENTS; RADIATION DETECTORS; SIMULATION