Parallel computing, benchmarking and ATLAS software on ARM

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dc.contributor.advisorHamilton, Andrewen_ZA
dc.contributor.authorSmith, Joshua Wyatten_ZA
dc.date.accessioned2016-06-10T07:40:54Z
dc.date.available2016-06-10T07:40:54Z
dc.date.issued2015en_ZA
dc.descriptionIncludes bibliographical references,en_ZA
dc.description.abstractThis thesis explores the use of the ARM architecture in high energy physics computing. ARM processors are predominantly found in smartphones and mobile tablets. Results from benchmarks which were performed on the armv7l architecture are presented. These provide qualitative data as well as confirmation that specialized high energy physics software does run on ARM. This thesis presents the first ever port of the ATLAS software stack to the ARM architecture, as well as the issues that ensued. A new framework, ANA, is introduced which facilitates the compilation of the ATLAS software stack on ARM.en_ZA
dc.identifier.apacitationSmith, J. W. (2015). <i>Parallel computing, benchmarking and ATLAS software on ARM</i>. (Thesis). University of Cape Town ,Faculty of Science ,Department of Physics. Retrieved from http://hdl.handle.net/11427/20009en_ZA
dc.identifier.chicagocitationSmith, Joshua Wyatt. <i>"Parallel computing, benchmarking and ATLAS software on ARM."</i> Thesis., University of Cape Town ,Faculty of Science ,Department of Physics, 2015. http://hdl.handle.net/11427/20009en_ZA
dc.identifier.citationSmith, J. 2015. Parallel computing, benchmarking and ATLAS software on ARM. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Smith, Joshua Wyatt AB - This thesis explores the use of the ARM architecture in high energy physics computing. ARM processors are predominantly found in smartphones and mobile tablets. Results from benchmarks which were performed on the armv7l architecture are presented. These provide qualitative data as well as confirmation that specialized high energy physics software does run on ARM. This thesis presents the first ever port of the ATLAS software stack to the ARM architecture, as well as the issues that ensued. A new framework, ANA, is introduced which facilitates the compilation of the ATLAS software stack on ARM. DA - 2015 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2015 T1 - Parallel computing, benchmarking and ATLAS software on ARM TI - Parallel computing, benchmarking and ATLAS software on ARM UR - http://hdl.handle.net/11427/20009 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/20009
dc.identifier.vancouvercitationSmith JW. Parallel computing, benchmarking and ATLAS software on ARM. [Thesis]. University of Cape Town ,Faculty of Science ,Department of Physics, 2015 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/20009en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Physicsen_ZA
dc.publisher.facultyFaculty of Scienceen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherPhysicsen_ZA
dc.titleParallel computing, benchmarking and ATLAS software on ARMen_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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