LHC@Home: a BOINC-based volunteer computing infrastructure for physics studies at CERN

Autor: Massimo Giovannozzi, Ben Segal, D. Kaltchev, Kyrre Sjobak, Yuri Nosochkov, Cinzia Luzzi, Matthew Crouch, Nils Høimyr, Ivan Reid, David Cameron, Pascal Hermes, J. Barranco, Peter Skands, I. Zacharov, Nikos Karastathis, Ewen Maclean, Laurence Field, Frederik Van Der Veken, Tatiana Pieloni, Yunhai Cai, L Rivkin, Alessio Mereghetti, E. McIntosh, Claudia Tambasco, James Molson, Riccardo De Maria
Přispěvatelé: Laboratoire de l'Accélérateur Linéaire (LAL), Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: Open Eng.
BOINC
BOINC, Aug 2017, Petrozavodsk, Russia. pp.378-392, ⟨10.1515/eng-2017-0042⟩
Scopus-Elsevier
Open Engineering, Vol 7, Iss 1, Pp 379-393 (2017)
DOI: 10.1515/eng-2017-0042⟩
Popis: 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 to 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, yielding an improved understanding of charged particle dynamics in the CERN Large Hadron Collider (LHC) and its future upgrades. The main results are highlighted in this paper.
Databáze: OpenAIRE