D. Bonacorsi, V. Kuznetsov, L. Giommi, T. Diotalevi, J. Vlimant, D. Abercrombie, C. Contreras, A. Repecka, Ž. Matonis, K. Kančys
{"title":"Progress on Machine and Deep Learning applications in CMS Computing","authors":"D. Bonacorsi, V. Kuznetsov, L. Giommi, T. Diotalevi, J. Vlimant, D. Abercrombie, C. Contreras, A. Repecka, Ž. Matonis, K. Kančys","doi":"10.22323/1.327.0022","DOIUrl":null,"url":null,"abstract":"Machine and Deep Learning techniques are being used in various areas of CMS operations at the LHC collider, like data taking, monitoring, processing and physics analysis. A review a few selected use cases - with focus on CMS software and computing - shows the progress in the field, with highlight on most recent developments, as well as an outlook to future applications in LHC Run III and towards the High-Luminosity LHC phase.","PeriodicalId":135658,"journal":{"name":"Proceedings of International Symposium on Grids and Clouds 2018 in conjunction with Frontiers in Computational Drug Discovery — PoS(ISGC 2018 & FCDD)","volume":"266 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of International Symposium on Grids and Clouds 2018 in conjunction with Frontiers in Computational Drug Discovery — PoS(ISGC 2018 & FCDD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22323/1.327.0022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Machine and Deep Learning techniques are being used in various areas of CMS operations at the LHC collider, like data taking, monitoring, processing and physics analysis. A review a few selected use cases - with focus on CMS software and computing - shows the progress in the field, with highlight on most recent developments, as well as an outlook to future applications in LHC Run III and towards the High-Luminosity LHC phase.
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