9 citations · 12 across the 3 of their papers we have counts for
5 papers
Applications of Deep Learning to physics workflows
Manan Agarwal, Jay Alameda, Jeroen Audenaert +65
Modern large-scale physics experiments create datasets with sizes and streaming rates that can exceed those from industry leaders such as Google Cloud and Netflix. Fully processing…
The Future of High Energy Physics Software and Computing
V. Daniel Elvira, Steven Gottlieb, Oliver Gutsche +25
Software and Computing (S&C) are essential to all High Energy Physics (HEP) experiments and many theoretical studies. The size and complexity of S&C are now commensurate with that…
Data Transfer and Network Services management for Domain Science Workflows
Tom Lehman, Xi Yang, Chin Guok +10
This paper describes a vision and work in progress to elevate network resources and data transfer management to the same level as compute and storage in the context of services acc…
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…
Parallelized and Vectorized Tracking Using Kalman Filters with CMS Detector Geometry and Events
Giuseppe Cerati, Peter Elmer, Brian Gravelle +13
The High-Luminosity Large Hadron Collider at CERN will be characterized by greater pileup of events and higher occupancy, making the track reconstruction even more computationally…