Issue |
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
|
|
---|---|---|
Article Number | 03011 | |
Number of page(s) | 8 | |
Section | T3 - Distributed computing | |
DOI | https://doi.org/10.1051/epjconf/201921403011 | |
Published online | 17 September 2019 |
https://doi.org/10.1051/epjconf/201921403011
Advances in ATLAS@Home towards a major ATLAS computing resource
1
University of Oslo,
P.b. 1048 Blindern, 0316
Oslo,
Norway
2
IHEP,
19B Yuquan Road,
Beijing,
China
100049
3
Budker Institute of Nuclear Physics, SB RAS,
Novosibirsk
630090,
Russia
4
University of Pittsburgh, Department of Physics and Astronomy,
100 Allen Hall, 3941 O’Hara St,
Pittsburgh
PA 15260,
USA
* e-mail: david.cameron@cern.ch
Published online: 17 September 2019
The volunteer computing project ATLAS@Home has been providing a stable computing resource for the ATLAS experiment since 2013. It has recently undergone some significant developments and as a result has become one of the largest resources contributing to ATLAS computing, by expanding its scope beyond traditional volunteers and into exploitation of idle computing power in ATLAS data centres. Removing the need for virtualization on Linux and instead using container technology has made the entry barrier significantly lower for data centre participation and in this paper, we describe the implementation and results of this change. We also present other recent changes and improvements in the project. In early 2017 the ATLAS@Home project was merged into a combined LHC@Home platform, providing a unified gateway to all CERN-related volunteer computing projects. The ATLAS Event Service shifts data processing from file-level to event-level and we describe how ATLAS@Home was incorporated into this new paradigm.
© The Authors, published by EDP Sciences, 2019
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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