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ATLAS@Home: Harnessing Volunteer Computing for HEP
A recent common theme among HEP computing is exploitation of opportunistic resources in order to provide the maximum statistics possible for Monte-Carlo simulation. Volunteer computing has been used over the last few years in many other scientific fields and by CERN itself to run simulations of the...
Autores principales: | , , , , |
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Lenguaje: | eng |
Publicado: |
2015
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Materias: | |
Acceso en línea: | https://dx.doi.org/10.1088/1742-6596/664/2/022009 http://cds.cern.ch/record/2015085 |
_version_ | 1780946650321125376 |
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author | Bourdarios, Claire Cameron, David Filipcic, Andrej Lancon, Eric Wu, Wenjing |
author_facet | Bourdarios, Claire Cameron, David Filipcic, Andrej Lancon, Eric Wu, Wenjing |
author_sort | Bourdarios, Claire |
collection | CERN |
description | A recent common theme among HEP computing is exploitation of opportunistic resources in order to provide the maximum statistics possible for Monte-Carlo simulation. Volunteer computing has been used over the last few years in many other scientific fields and by CERN itself to run simulations of the LHC beams. The ATLAS@Home project was started to allow volunteers to run simulations of collisions in the ATLAS detector. So far many thousands of members of the public have signed up to contribute their spare CPU cycles for ATLAS, and there is potential for volunteer computing to provide a significant fraction of ATLAS computing resources. Here we describe the design of the project, the lessons learned so far and the future plans. |
id | cern-2015085 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2015 |
record_format | invenio |
spelling | cern-20150852022-08-10T13:08:23Zdoi:10.1088/1742-6596/664/2/022009http://cds.cern.ch/record/2015085engBourdarios, ClaireCameron, DavidFilipcic, AndrejLancon, EricWu, WenjingATLAS@Home: Harnessing Volunteer Computing for HEPParticle Physics - ExperimentA recent common theme among HEP computing is exploitation of opportunistic resources in order to provide the maximum statistics possible for Monte-Carlo simulation. Volunteer computing has been used over the last few years in many other scientific fields and by CERN itself to run simulations of the LHC beams. The ATLAS@Home project was started to allow volunteers to run simulations of collisions in the ATLAS detector. So far many thousands of members of the public have signed up to contribute their spare CPU cycles for ATLAS, and there is potential for volunteer computing to provide a significant fraction of ATLAS computing resources. Here we describe the design of the project, the lessons learned so far and the future plans.ATL-SOFT-PROC-2015-012oai:cds.cern.ch:20150852015-05-11 |
spellingShingle | Particle Physics - Experiment Bourdarios, Claire Cameron, David Filipcic, Andrej Lancon, Eric Wu, Wenjing ATLAS@Home: Harnessing Volunteer Computing for HEP |
title | ATLAS@Home: Harnessing Volunteer Computing for HEP |
title_full | ATLAS@Home: Harnessing Volunteer Computing for HEP |
title_fullStr | ATLAS@Home: Harnessing Volunteer Computing for HEP |
title_full_unstemmed | ATLAS@Home: Harnessing Volunteer Computing for HEP |
title_short | ATLAS@Home: Harnessing Volunteer Computing for HEP |
title_sort | atlas@home: harnessing volunteer computing for hep |
topic | Particle Physics - Experiment |
url | https://dx.doi.org/10.1088/1742-6596/664/2/022009 http://cds.cern.ch/record/2015085 |
work_keys_str_mv | AT bourdariosclaire atlashomeharnessingvolunteercomputingforhep AT camerondavid atlashomeharnessingvolunteercomputingforhep AT filipcicandrej atlashomeharnessingvolunteercomputingforhep AT lanconeric atlashomeharnessingvolunteercomputingforhep AT wuwenjing atlashomeharnessingvolunteercomputingforhep |