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1.
Backfilling the Grid with Containerized BOINC in the ATLAS computing / Wu, Wenjing (Institute of High Energy Physics, Chinese Academy of Sciences) ; Cameron, David (University of Oslo)
Virtualization is a commonly used solution for utilizing the opportunistic computing resources in the HEP field, as it provides a unified software and OS layer that the HEP computing tasks require over the heterogeneous opportunistic computing resources. [...]
ATL-SOFT-PROC-2018-060.
- 2018. - 7 p.
Original Communication (restricted to ATLAS) - Full text
2.
Backfilling the Grid with Containerized BOINC in the ATLAS computing / Wu, Wenjing (Institute of High Energy Physics, Chinese Academy of Sciences) ; Cameron, David (University of Oslo) /ATLAS Collaboration
Virtualization is a commonly used solution for utilizing the opportunistic computing resources in the HEP field, as it provides a unified software and OS layer that the HEP computing tasks require over the heterogeneous opportunistic computing resources. However there is always performance penalty with virtualization, especially for short jobs which are always the case for volunteer computing tasks, the overhead of virtualization becomes a big portion in the wall time, hence it leads to low CPU efficiency of the jobs. [...]
ATL-SOFT-SLIDE-2018-410.- Geneva : CERN, 2018 - 22 p. Fulltext: ATL-SOFT-SLIDE-2018-410 - PPT; Backfilling the Grid with Containerized BOINC in the ATLAS computing - PDF; External link: Original Communication (restricted to ATLAS)
3.
Volunteer Computing Experience with ATLAS@Home / Cameron, David (University of Oslo) ; Filipcic, Andrej (Jozef Stefan Institute (SI)) ; Bourdarios, Claire (LAL, Univ. Paris-Sud, IN2P3/CNRS, Universite Paris-Saclay) ; Lan\c con, Eric (Brookhaven National Laboratory (BNL)) ; Wu, Wenjing (Institute of High Energy Physics, Chinese Academy of Sciences) /ATLAS Collaboration
ATLAS@Home is a volunteer computing project which allows the public to contribute to computing for the ATLAS experiment through their home or office computers. The project has grown continuously since its creation in mid-2014 and now counts almost 100,000 volunteers. [...]
ATL-SOFT-SLIDE-2016-637.- Geneva : CERN, 2016 - 12 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016
4.
Advances in ATLAS@Home towards a major ATLAS computing resource / Cameron, David (University of Oslo) ; Wu, Wenjing (Institute of High Energy Physics, Chinese Academy of Sciences) ; Bogdanchikov, Alexander (Budker Institute of Nuclear Physics, Siberian Branch of Russian Academy of Sciences) ; Bianchi, Riccardo-Maria (University of Pittsburgh) /ATLAS Collaboration
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. [...]
ATL-SOFT-SLIDE-2018-409.- Geneva : CERN, 2018 - 12 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018
5.
ATLAS@Home: Harnessing Volunteer Computing for HEP / Bourdarios, Claire (LAL, Universite Paris-Sud, IN2P3/CNRS) ; Cameron, David (University of Oslo) ; Filipcic, Andrej (Jozef Stefan Institute and University of Ljubljana, Department of Physics) ; Lancon, Eric (Commissariat a l'Energie Atomique (CEA), DSM/IRFU, Centre d'Etudes de Saclay) ; Wu, Wenjing (Institute of High Energy Physics, Chinese Academy of Sciences)
A recent common theme among HEP computing is exploitation of opportunistic resources in order to provide the maximum statistics possible for Monte-Carlo simulation. [...]
ATL-SOFT-PROC-2015-012.
- 2015. - 6 p.
Original Communication (restricted to ATLAS) - Full text - IOP Open Access article
6.
Volunteer computing experience with ATLAS@Home / Adam-Bourdarios, Claire (LAL, Univ. Paris-Sud, IN2P3/CNRS, Universite Paris-Saclay) ; Bianchi, Riccardo-Maria (University of Pittsburgh) ; Cameron, David (University of Oslo) ; Filipčič, Andrej (Jozef Stefan Institute) ; Lançon, Eric (Brookhaven National Laboratory (BNL)) ; Wu, Wenjing (Institute of High Energy Physics, Chinese Academy of Sciences)
ATLAS@Home is a volunteer computing project which allows the public to contribute to computing for the ATLAS experiment through their home or office computers. [...]
ATL-SOFT-PROC-2016-015.
- 2017. - 8 p.
Original Communication (restricted to ATLAS) - IOP Open Access Article - Full text
7.
Advances in ATLAS@Home towards a major ATLAS computing resource / Cameron, David (University of Oslo) ; Wu, Wenjing (Institute of High Energy Physics, Chinese Academy of Sciences) ; Bogdanchikov, Alexander (Budker Institute of Nuclear Physics, Siberian Branch of Russian Academy of Sciences) ; Bianchi, Riccardo-Maria (University of Pittsburgh)
The volunteer computing project ATLAS@Home has been providing a stable computing resource for the ATLAS experiment since 2013. [...]
ATL-SOFT-PROC-2018-032.
- 2018. - 8 p.
Original Communication (restricted to ATLAS) - Full text
8.
The Evolving role of Tier2s in ATLAS with the new Computing and Data Distribution Model / Gonzalez de la Hoz, S
Originally the ATLAS computing model assumed that the Tier2s of each of the 10 clouds should keep on disk collectively at least one copy of all "active" AOD and DPD datasets. Evolution of ATLAS computing and data models requires changes in ATLAS Tier2s policy for the data replication, dynamic data caching and remote data access. [...]
ATL-SOFT-SLIDE-2012-169.- Geneva : CERN, 2012 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012
9.
The evolving role of Tier2s in ATLAS with the new Computing and Data Distribution model / Gonzalez de la Hoz, S (Valencia U., IFIC)
Originally the ATLAS computing model assumed that the Tier2s of each of the 10 clouds should keep on disk collectively at least one copy of all "active" AOD and DPD datasets. [...]
ATL-SOFT-PROC-2012-010.
- 2012. - 8 p.
Original Communication (restricted to ATLAS) - Full text - JPCS article
10.
Exploitation of heterogeneous resources for ATLAS Computing / Chudoba, Jiri (Academy of Sciences of the Czech Republic, Institute of Physics) /ATLAS Collaboration
LHC experiments require significant computational resources for Monte Carlo simulations and real data processing and the ATLAS experiment is not an exception. In 2017, ATLAS exploited steadily almost 3M HS06 units, which corresponds to about 300 000 standard CPU cores. [...]
ATL-SOFT-SLIDE-2018-374.- Geneva : CERN, 2018 - 21 p. Fulltext: PPTX; External link: Original Communication (restricted to ATLAS)

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