| Title |
Progress on machine and deep learning applications in CMS computing / |
| Authors |
Bonacorsi, D ; Kuznetsov, V ; Giommi, L ; Diotalevi, T ; Vlimant, J. R ; Abercrombie, D ; Contreras, C ; Repečka, Aurimas ; Matonis, Žygimantas ; Kančys, Kipras |
| DOI |
10.22323/1.327.0022 |
| Full Text |
|
| Is Part of |
ISGC 2018 & FCDD. International Symposium on Grids and Clouds 2018 in conjunction with Frontiers in Computational Drug Discovery, 16 - 23 March 2018, Academia Sinica, Taipei, Taiwan.. Trieste : Sissa Medialab srl Partita IVA. 2018, p. 1-10 |
| Abstract [eng] |
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. |
| Published |
Trieste : Sissa Medialab srl Partita IVA |
| Type |
Conference paper |
| Language |
English |
| Publication date |
2018 |
| CC license |
|
