Cargando…
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...
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: | |
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 |
Ejemplares similares
-
A survey of field programmable gate array (FPGA)-based graph convolutional neural network accelerators: challenges and opportunities
por: Li, Shun, et al.
Publicado: (2022) -
Nonlinear Noise Cleaning in Gravitational-Wave Detectors With Convolutional Neural Networks
por: Yu, Hang, et al.
Publicado: (2022) -
InferBERT: A Transformer-Based Causal Inference Framework for Enhancing Pharmacovigilance
por: Wang, Xingqiao, et al.
Publicado: (2021) -
Co-Inference of Data Mislabelings Reveals Improved Models in Genomics and Breast Cancer Diagnostics
por: Gerber, Susanne, et al.
Publicado: (2022) -
EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-Time Facial Expression Recognition
por: Lee, James Ren, et al.
Publicado: (2021)