7 papers
The CMS monitoring infrastructure and applications
Christian Ariza-Porras, Valentin Kuznetsov, Federica Legger
The globally distributed computing infrastructure required to cope with the multi-petabytes datasets produced by the Compact Muon Solenoid (CMS) experiment at the Large Hadron Coll…
MLaaS4HEP: Machine Learning as a Service for HEP
Valentin Kuznetsov, Luca Giommi, Daniele Bonacorsi
Machine Learning (ML) will play a significant role in the success of the upcoming High-Luminosity LHC (HL-LHC) program at CERN. An unprecedented amount of data at the exascale will…
HEP Software Foundation Community White Paper Working Group -- Data Organization, Management and Access (DOMA)
Dario Berzano, Riccardo Maria Bianchi, Ian Bird +35
Without significant changes to data organization, management, and access (DOMA), HEP experiments will find scientific output limited by how fast data can be accessed and digested b…
Gaining insight from large data volumes with ease
Valentin Kuznetsov
Efficient handling of large data-volumes becomes a necessity in today's world. It is driven by the desire to get more insight from the data and to gain a better understanding of us…
Machine Learning as a Service for HEP
Valentin Kuznetsov
Machine Learning (ML) will play significant role in success of the upcoming High-Luminosity LHC (HL-LHC) program at CERN. The unprecedented amount of data at the Exa-Byte scale to…
Machine Learning in High Energy Physics Community White Paper
Kim Albertsson, Piero Altoe, Dustin Anderson +125
Machine learning has been applied to several problems in particle physics research, beginning with applications to high-level physics analysis in the 1990s and 2000s, followed by a…