Cargando…
The Deployment of Realtime ML in Changing Environments
The High-Luminosity LHC upgrade of the CMS experiment will utilise a large number of Machine Learning (ML) based algorithms in its hardware-based trigger. These ML algorithms will facilitate the selection of potentially interesting events for storage and offline analysis. Strict latency and resource...
Autor principal: | Brown, Christopher Edward |
---|---|
Lenguaje: | eng |
Publicado: |
2023
|
Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2872272 |
Ejemplares similares
-
POSIX realtime extension and RISC/UNIX data acquisition
por: Yasu, Y, et al.
Publicado: (1992) -
GPUs for the realtime low-level trigger of the NA62 experiment at CERN
por: Ammendola, R, et al.
Publicado: (2015) -
The GAP Project - GPU for Realtime Applications in High Level Trigger and Medical Imaging
por: Fiorini, Massimiliano
Publicado: (2014) -
A FPGA-based Network Interface Card with GPUDirect enabling realtime GPU computing in HEP experiments
por: Lonardo, Alessandro, et al.
Publicado: (2015) -
ML-based tool for RPC currents quality monitoring
por: CMS Collaboration
Publicado: (2023)