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
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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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Copyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.