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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...

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Autores principales: Bourdarios, Claire, Cameron, David, Filipcic, Andrej, Lancon, Eric, Wu, Wenjing
Lenguaje:eng
Publicado: 2015
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/664/2/022009
http://cds.cern.ch/record/2015085
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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.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2015
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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
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AT camerondavid atlashomeharnessingvolunteercomputingforhep
AT filipcicandrej atlashomeharnessingvolunteercomputingforhep
AT lanconeric atlashomeharnessingvolunteercomputingforhep
AT wuwenjing atlashomeharnessingvolunteercomputingforhep