Fast inference of deep neural networks in FPGAs for particle physics

Recent results at the Large Hadron Collider (LHC) have pointed to enhanced physics capabilities through the improvement of the real-time event processing techniques. Machine learning methods are ubiquitous and have proven to be very powerful in LHC physics, and particle physics as a whole. However,...

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Detalles Bibliográficos
Autores principales: Duarte, Javier, Han, Song, Harris, Philip, Jindariani, Sergo, Kreinar, Edward, Kreis, Benjamin, Ngadiuba, Jennifer, Pierini, Maurizio, Rivera, Ryan, Tran, Nhan, Wu, Zhenbin
Lenguaje:eng
Publicado: 2018
Materias:
stat.ML
Mathematical Physics and Mathematics
hep-ex
Particle Physics - Experiment
cs.CV
Computing and Computers
physics.ins-det
Detectors and Experimental Techniques
Acceso en línea:https://dx.doi.org/10.1088/1748-0221/13/07/P07027
http://cds.cern.ch/record/2316331

Internet

https://dx.doi.org/10.1088/1748-0221/13/07/P07027
http://cds.cern.ch/record/2316331

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