Symbolic Regression on FPGAs for Fast Machine Learning Inference

The high-energy physics community is investigating the feasibility of deploying machine-learning-based solutions on Field-Programmable Gate Arrays (FPGAs) to improve physics sensitivity while meeting data processing latency limitations. In this contribution, we introduce a novel end-to-end procedure...

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Detalles Bibliográficos
Autores principales: Tsoi, Ho Fung, Pol, Adrian Alan, Loncar, Vladimir, Govorkova, Ekaterina, Cranmer, Miles, Dasu, Sridhara, Elmer, Peter, Harris, Philip, Ojalvo, Isobel, Pierini, Maurizio
Lenguaje:eng
Publicado: 2023
Materias:
physics.ins-det
Detectors and Experimental Techniques
hep-ex
Particle Physics - Experiment
cs.LG
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/2858515

Internet

http://cds.cern.ch/record/2858515

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