Fast convolutional neural networks on FPGAs with hls4ml
<jats:title>Abstract</jats:title> <jats:p>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 <jats:monospace>hls4ml</jats:monos...
Main Authors: | 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 |
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Other Authors: | Massachusetts Institute of Technology. Department of Physics |
Format: | Article |
Language: | English |
Published: |
IOP Publishing
2022
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Online Access: | https://hdl.handle.net/1721.1/142113 |
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