fpgaConvNet: A Toolflow for Mapping Diverse Convolutional Neural Networks on Embedded FPGAs

23 November 2017

Papers citing "fpgaConvNet: A Toolflow for Mapping Diverse Convolutional Neural Networks on Embedded FPGAs"

4 / 4 papers shown

Title
Physics Community Needs, Tools, and Resources for Machine Learning Philip C. Harris E. Katsavounidis W. McCormack D. Rankin Yongbin Feng ... De-huai Chen Mark S. Neubauer Javier Mauricio Duarte G. Karagiorgi Miaoyuan Liu AI4CE 11 3 0 30 Mar 2022
hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices F. Fahim B. Hawks C. Herwig J. Hirschauer S. Jindariani ... J. Ngadiuba Miaoyuan Liu Duc Hoang E. Kreinar Zhenbin Wu 22 129 0 09 Mar 2021
Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors C. Coelho Aki Kuusela Shane Li Zhuang Hao T. Aarrestad Vladimir Loncar J. Ngadiuba M. Pierini Adrian Alan Pol S. Summers MQ 21 175 0 15 Jun 2020
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation Adam Paszke Abhishek Chaurasia Sangpil Kim Eugenio Culurciello SSeg 221 2,056 0 07 Jun 2016