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Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference


Feb 22, 2021
Benjamin Hawks, Javier Duarte, Nicholas J. Fraser, Alessandro Pappalardo, Nhan Tran, Yaman Umuroglu

* 22 pages, 7 Figures, 1 Table 

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FAT: Training Neural Networks for Reliable Inference Under Hardware Faults


Nov 11, 2020
Ussama Zahid, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Kees Vissers


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LogicNets: Co-Designed Neural Networks and Circuits for Extreme-Throughput Applications


Apr 06, 2020
Yaman Umuroglu, Yash Akhauri, Nicholas J. Fraser, Michaela Blott


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Accuracy to Throughput Trade-offs for Reduced Precision Neural Networks on Reconfigurable Logic


Jul 17, 2018
Jiang Su, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Gianluca Durelli, David B. Thomas, Philip Leong, Peter Y. K. Cheung

* Accepted by ARC 2018 

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Scaling Binarized Neural Networks on Reconfigurable Logic


Jan 27, 2017
Nicholas J. Fraser, Yaman Umuroglu, Giulio Gambardella, Michaela Blott, Philip Leong, Magnus Jahre, Kees Vissers

* To appear in the PARMA-DITAM workshop at HiPEAC 2017, January 2017 

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FINN: A Framework for Fast, Scalable Binarized Neural Network Inference


Dec 01, 2016
Yaman Umuroglu, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Leong, Magnus Jahre, Kees Vissers

* To appear in the 25th International Symposium on Field-Programmable Gate Arrays, February 2017 

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