Fast convolutional neural networks on FPGAs with hls4ml

We introduce an automated tool for deploying ultra low-latency, low-power deep neural networks with convolutional layers on field-programmable gate arrays (FPGAs). By extending the hls4ml library, we demonstrate an inference latency of 5 µs using convolutional architectures, targeting microsecond la...

Descripción completa

Detalles Bibliográficos
Autores principales: Aarrestad, Thea, Loncar, Vladimir, Ghielmetti, Nicolò, Pierini, Maurizio, Summers, Sioni, Ngadiuba, Jennifer, Petersson, Christoffer, Linander, Hampus, Iiyama, Yutaro, Di Guglielmo, Giuseppe, Duarte, Javier, Harris, Philip, Rankin, Dylan, Jindariani, Sergo, Pedro, Kevin, Tran, Nhan, Liu, Mia, Kreinar, Edward, Wu, Zhenbin, Hoang, Duc
Lenguaje:eng
Publicado: 2021
Materias:
stat.ML
Mathematical Physics and Mathematics
physics.ins-det
Detectors and Experimental Techniques
hep-ex
Particle Physics - Experiment
cs.CV
Computing and Computers
cs.LG
Acceso en línea:https://dx.doi.org/10.1088/2632-2153/ac0ea1
http://cds.cern.ch/record/2751704

Internet

https://dx.doi.org/10.1088/2632-2153/ac0ea1
http://cds.cern.ch/record/2751704

Ejemplares similares