LHC@Home

A BOINC-based volunteer computing infrastructure for physics studies at CERN

Javier Barranco, Yunhai Cai, David Cameron, Matthew Crouch, Riccardo De Maria, Laurence Field, Massimo Giovannozzi, Pascal Hermes, Nils Høimyr, Dobrin Kaltchev, Nikos Karastathis, Cinzia Luzzi, Ewen Maclean, Eric McIntosh, Alessio Mereghetti, James Molson, Yuri Nosochkov, Tatiana Pieloni, Ivan D. Reid, Lenny Rivkin & 6 others Ben Segal, Kyrre Sjobak, Peter Skands, Claudia Tambasco, Frederik Van Der Veken, Igor Zacharov

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

Abstract

The LHC@Home BOINC project has provided computing capacity for numerical simulations to researchers at CERN since 2004, and has since 2011 been expanded with a wider range of applications. The traditional CERN accelerator physics simulation code SixTrack enjoys continuing volunteers support, and thanks to virtualisation a number of applications from the LHC experiment collaborations and particle theory groups have joined the consolidated LHC@Home BOINC project. This paper addresses the challenges related with traditional and virtualized applications in the BOINC environment, and how volunteer computing has been integrated into the overall computing strategy of the laboratory through the consolidated LHC@Home service. Thanks to the computing power provided by volunteers joining LHC@Home, numerous accelerator beam physics studies have been carried out, allowing for improving the understanding of charged particle dynamics in the CERN Large Hadron Collider (LHC) and its future upgrades. The main results are highlighted in this paper.

Original languageEnglish
Title of host publicationProceedings of the Third International Conference BOINC-based High Performance Computing
Subtitle of host publicationFundamental Research and Development (BOINC:FAST 2017)
EditorsEvgeny Ivahsko, Alexander Rumyantsev
PublisherCEUR-WS
Pages15-26
Number of pages12
Volume1973
Publication statusPublished - 1 Jan 2017
EventInternational Conference BOINC-Based High Performance Computing: Fundamental Research and Development - Petrozavodsk, Russian Federation
Duration: 28 Aug 20171 Sep 2017
Conference number: 3rd
http://boincfast.ru/index.php/main/about-conf/

Publication series

NameCEUR Workshop Proceedings
PublisherRheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V
ISSN (Print)1613-0073

Conference

ConferenceInternational Conference BOINC-Based High Performance Computing
Abbreviated titleBOINC:FAST 2017
CountryRussian Federation
CityPetrozavodsk
Period28/08/171/09/17
OtherHigh performance computing is extremely important for modern fundamental and applied science. Desktop Grid technologies are used in scientific research together with clusters and GRID systems, while Volunteer Computing assist in breakthroughs in astronomy, biotechnology, fundamental physics and mathematics, and many other branches of science. However, unused potential of Desktop Grids is still quite high.

The Third International Scientific Conference "BOINC-based High Performance Computing: Fundamental Research and Development" is devoted to studying potential of distributed Desktop Grid computing, exchange of experience in creation and support of fundamental and applied BOINC projects. Among other, reports concerning technologies of development of distributed applications, processing of data, mathematical modeling of Desktop Grid, fundamental and applied BOINC projects will be presented. The conference will take place from August 28 to September 01, 2017, in Petrozavodsk, Republic of Karelia.

During the conference a meeting of the Russian Branch of "International Desktop Grid Federation" and a meeting with crunchers who participate in BOINC-projects will be organized.

Conference proceedings will be published in the CEUR Workshop Proceedings (indexed in Scopus).

To read about previous conferences BOINC:FAST see archives BOINC:FAST'2015 and BOINC:FAST'2013.
Internet address

Keywords

  • Beam dynamics
  • High energy physics
  • Particle accelerators
  • Volunteer computing

Cite this

Barranco, J., Cai, Y., Cameron, D., Crouch, M., De Maria, R., Field, L., ... Zacharov, I. (2017). LHC@Home: A BOINC-based volunteer computing infrastructure for physics studies at CERN. In E. Ivahsko, & A. Rumyantsev (Eds.), Proceedings of the Third International Conference BOINC-based High Performance Computing: Fundamental Research and Development (BOINC:FAST 2017) (Vol. 1973, pp. 15-26). (CEUR Workshop Proceedings). CEUR-WS.
Barranco, Javier ; Cai, Yunhai ; Cameron, David ; Crouch, Matthew ; De Maria, Riccardo ; Field, Laurence ; Giovannozzi, Massimo ; Hermes, Pascal ; Høimyr, Nils ; Kaltchev, Dobrin ; Karastathis, Nikos ; Luzzi, Cinzia ; Maclean, Ewen ; McIntosh, Eric ; Mereghetti, Alessio ; Molson, James ; Nosochkov, Yuri ; Pieloni, Tatiana ; Reid, Ivan D. ; Rivkin, Lenny ; Segal, Ben ; Sjobak, Kyrre ; Skands, Peter ; Tambasco, Claudia ; Van Der Veken, Frederik ; Zacharov, Igor. / LHC@Home : A BOINC-based volunteer computing infrastructure for physics studies at CERN. Proceedings of the Third International Conference BOINC-based High Performance Computing: Fundamental Research and Development (BOINC:FAST 2017). editor / Evgeny Ivahsko ; Alexander Rumyantsev. Vol. 1973 CEUR-WS, 2017. pp. 15-26 (CEUR Workshop Proceedings).
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title = "LHC@Home: A BOINC-based volunteer computing infrastructure for physics studies at CERN",
abstract = "The LHC@Home BOINC project has provided computing capacity for numerical simulations to researchers at CERN since 2004, and has since 2011 been expanded with a wider range of applications. The traditional CERN accelerator physics simulation code SixTrack enjoys continuing volunteers support, and thanks to virtualisation a number of applications from the LHC experiment collaborations and particle theory groups have joined the consolidated LHC@Home BOINC project. This paper addresses the challenges related with traditional and virtualized applications in the BOINC environment, and how volunteer computing has been integrated into the overall computing strategy of the laboratory through the consolidated LHC@Home service. Thanks to the computing power provided by volunteers joining LHC@Home, numerous accelerator beam physics studies have been carried out, allowing for improving the understanding of charged particle dynamics in the CERN Large Hadron Collider (LHC) and its future upgrades. The main results are highlighted in this paper.",
keywords = "Beam dynamics, High energy physics, Particle accelerators, Volunteer computing",
author = "Javier Barranco and Yunhai Cai and David Cameron and Matthew Crouch and {De Maria}, Riccardo and Laurence Field and Massimo Giovannozzi and Pascal Hermes and Nils H{\o}imyr and Dobrin Kaltchev and Nikos Karastathis and Cinzia Luzzi and Ewen Maclean and Eric McIntosh and Alessio Mereghetti and James Molson and Yuri Nosochkov and Tatiana Pieloni and Reid, {Ivan D.} and Lenny Rivkin and Ben Segal and Kyrre Sjobak and Peter Skands and Claudia Tambasco and {Van Der Veken}, Frederik and Igor Zacharov",
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volume = "1973",
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Barranco, J, Cai, Y, Cameron, D, Crouch, M, De Maria, R, Field, L, Giovannozzi, M, Hermes, P, Høimyr, N, Kaltchev, D, Karastathis, N, Luzzi, C, Maclean, E, McIntosh, E, Mereghetti, A, Molson, J, Nosochkov, Y, Pieloni, T, Reid, ID, Rivkin, L, Segal, B, Sjobak, K, Skands, P, Tambasco, C, Van Der Veken, F & Zacharov, I 2017, LHC@Home: A BOINC-based volunteer computing infrastructure for physics studies at CERN. in E Ivahsko & A Rumyantsev (eds), Proceedings of the Third International Conference BOINC-based High Performance Computing: Fundamental Research and Development (BOINC:FAST 2017). vol. 1973, CEUR Workshop Proceedings, CEUR-WS, pp. 15-26, International Conference BOINC-Based High Performance Computing, Petrozavodsk, Russian Federation, 28/08/17.

LHC@Home : A BOINC-based volunteer computing infrastructure for physics studies at CERN. / Barranco, Javier; Cai, Yunhai; Cameron, David; Crouch, Matthew; De Maria, Riccardo; Field, Laurence; Giovannozzi, Massimo; Hermes, Pascal; Høimyr, Nils; Kaltchev, Dobrin; Karastathis, Nikos; Luzzi, Cinzia; Maclean, Ewen; McIntosh, Eric; Mereghetti, Alessio; Molson, James; Nosochkov, Yuri; Pieloni, Tatiana; Reid, Ivan D.; Rivkin, Lenny; Segal, Ben; Sjobak, Kyrre; Skands, Peter; Tambasco, Claudia; Van Der Veken, Frederik; Zacharov, Igor.

Proceedings of the Third International Conference BOINC-based High Performance Computing: Fundamental Research and Development (BOINC:FAST 2017). ed. / Evgeny Ivahsko; Alexander Rumyantsev. Vol. 1973 CEUR-WS, 2017. p. 15-26 (CEUR Workshop Proceedings).

Research output: Chapter in Book/Report/Conference proceedingConference PaperOtherpeer-review

TY - GEN

T1 - LHC@Home

T2 - A BOINC-based volunteer computing infrastructure for physics studies at CERN

AU - Barranco, Javier

AU - Cai, Yunhai

AU - Cameron, David

AU - Crouch, Matthew

AU - De Maria, Riccardo

AU - Field, Laurence

AU - Giovannozzi, Massimo

AU - Hermes, Pascal

AU - Høimyr, Nils

AU - Kaltchev, Dobrin

AU - Karastathis, Nikos

AU - Luzzi, Cinzia

AU - Maclean, Ewen

AU - McIntosh, Eric

AU - Mereghetti, Alessio

AU - Molson, James

AU - Nosochkov, Yuri

AU - Pieloni, Tatiana

AU - Reid, Ivan D.

AU - Rivkin, Lenny

AU - Segal, Ben

AU - Sjobak, Kyrre

AU - Skands, Peter

AU - Tambasco, Claudia

AU - Van Der Veken, Frederik

AU - Zacharov, Igor

PY - 2017/1/1

Y1 - 2017/1/1

N2 - The LHC@Home BOINC project has provided computing capacity for numerical simulations to researchers at CERN since 2004, and has since 2011 been expanded with a wider range of applications. The traditional CERN accelerator physics simulation code SixTrack enjoys continuing volunteers support, and thanks to virtualisation a number of applications from the LHC experiment collaborations and particle theory groups have joined the consolidated LHC@Home BOINC project. This paper addresses the challenges related with traditional and virtualized applications in the BOINC environment, and how volunteer computing has been integrated into the overall computing strategy of the laboratory through the consolidated LHC@Home service. Thanks to the computing power provided by volunteers joining LHC@Home, numerous accelerator beam physics studies have been carried out, allowing for improving the understanding of charged particle dynamics in the CERN Large Hadron Collider (LHC) and its future upgrades. The main results are highlighted in this paper.

AB - The LHC@Home BOINC project has provided computing capacity for numerical simulations to researchers at CERN since 2004, and has since 2011 been expanded with a wider range of applications. The traditional CERN accelerator physics simulation code SixTrack enjoys continuing volunteers support, and thanks to virtualisation a number of applications from the LHC experiment collaborations and particle theory groups have joined the consolidated LHC@Home BOINC project. This paper addresses the challenges related with traditional and virtualized applications in the BOINC environment, and how volunteer computing has been integrated into the overall computing strategy of the laboratory through the consolidated LHC@Home service. Thanks to the computing power provided by volunteers joining LHC@Home, numerous accelerator beam physics studies have been carried out, allowing for improving the understanding of charged particle dynamics in the CERN Large Hadron Collider (LHC) and its future upgrades. The main results are highlighted in this paper.

KW - Beam dynamics

KW - High energy physics

KW - Particle accelerators

KW - Volunteer computing

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M3 - Conference Paper

VL - 1973

T3 - CEUR Workshop Proceedings

SP - 15

EP - 26

BT - Proceedings of the Third International Conference BOINC-based High Performance Computing

A2 - Ivahsko, Evgeny

A2 - Rumyantsev, Alexander

PB - CEUR-WS

ER -

Barranco J, Cai Y, Cameron D, Crouch M, De Maria R, Field L et al. LHC@Home: A BOINC-based volunteer computing infrastructure for physics studies at CERN. In Ivahsko E, Rumyantsev A, editors, Proceedings of the Third International Conference BOINC-based High Performance Computing: Fundamental Research and Development (BOINC:FAST 2017). Vol. 1973. CEUR-WS. 2017. p. 15-26. (CEUR Workshop Proceedings).