Real-Time Inference With 2D Convolutional Neural Networks on Field Programmable Gate Arrays for High-Rate Particle Imaging Detectors

We present a custom implementation of a 2D Convolutional Neural Network (CNN) as a viable application for real-time data selection in high-resolution and high-rate particle imaging detectors, making use of hardware acceleration in high-end Field Programmable Gate Arrays (FPGAs). To meet FPGA resourc...

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Detalles Bibliográficos
Autores principales: Jwa, Yeon-jae, Di Guglielmo, Giuseppe, Arnold, Lukas, Carloni, Luca, Karagiorgi, Georgia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9157595/
https://www.ncbi.nlm.nih.gov/pubmed/35664508
http://dx.doi.org/10.3389/frai.2022.855184

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9157595/
https://www.ncbi.nlm.nih.gov/pubmed/35664508
http://dx.doi.org/10.3389/frai.2022.855184

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