Fast convolutional neural networks on FPGAs with hls4ml

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:monospace> library...

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Main Authors: Aarrestad, Thea (Author), Loncar, Vladimir (Author), Ghielmetti, Nicolò (Author), Pierini, Maurizio (Author), Summers, Sioni (Author), Ngadiuba, Jennifer (Author), Petersson, Christoffer (Author), Linander, Hampus (Author), Iiyama, Yutaro (Author), Di Guglielmo, Giuseppe (Author), Duarte, Javier (Author), Harris, Philip (Author), Rankin, Dylan (Author), Jindariani, Sergo (Author), Pedro, Kevin (Author), Tran, Nhan (Author), Liu, Mia (Author), Kreinar, Edward (Author), Wu, Zhenbin (Author), Hoang, Duc (Author)
Format: Article
Language:English
Published: IOP Publishing, 2022-04-26T18:31:03Z.
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