Volume 327 - International Symposium on Grids and Clouds 2018 in conjunction with Frontiers in Computational Drug Discovery (ISGC 2018 & FCDD) - Big Data & Data Management
Progress on Machine and Deep Learning applications in CMS Computing
D. Bonacorsi*, V. Kuznetsov, L. Giommi, T. Diotalevi, J.R. Vlimant, D. Abercrombie, C. Contreras, A. Repecka, Z. Matonis and K. Kancys
*: corresponding author
Full text: pdf
Published on: December 12, 2018
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.
DOI: https://doi.org/10.22323/1.327.0022
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