Julian Faraone

SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks

Philip Heng Wai Leong, Michaela Blott, Nicholas J. Fraser, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

FPGA Implementations of Kernel Normalised Least Mean Squares Processors

Craig T. Jin, Philip Heng Wai Leong, Nicholas J. Fraser, 2017, TRETS.

Training Deep Neural Networks in Low-Precision with High Accuracy Using FPGAs

David Boland, Kees Vissers, Julian Faraone, 2019, 2019 International Conference on Field-Programmable Technology (ICFPT).

Redundancy-Reduced MobileNet Acceleration on Reconfigurable Logic for ImageNet Classification

David B. Thomas, Philip Heng Wai Leong, Yiren Zhao, 2018, ARC.

A Block Minifloat Representation for Training Deep Neural Networks

David Boland, Philip H. W. Leong, Julian Faraone, 2021, ICLR.

Long Short-Term Memory for Radio Frequency Spectral Prediction and its Real-Time FPGA Implementation

Yee Hui Lee, David Boland, Siddhartha, 2018, MILCOM 2018 - 2018 IEEE Military Communications Conference (MILCOM).

AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers

Peter Zipf, Martin Kumm, Philip H. W. Leong, 2019, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Monte Carlo Deep Neural Network Arithmetic

Philip H. W. Leong, Julian Faraone, P. Leong, 2019 .

Customizing Low-Precision Deep Neural Networks for FPGAs

David Boland, Michaela Blott, Giulio Gambardella, 2018, 2018 28th International Conference on Field Programmable Logic and Applications (FPL).