77 citations · 163 across the 20 of their papers we have counts for
3 papers · 1 filter
An Analysis of Alternating Direction Method of Multipliers for Feed-forward Neural Networks
Seyedeh Niusha Alavi Foumani, Ce Guo, Wayne Luk
In this work, we present a hardware compatible neural network training algorithm in which we used alternating direction method of multipliers (ADMM) and iterative least-square meth…
An FPGA Accelerated Method for Training Feed-forward Neural Networks Using Alternating Direction Method of Multipliers and LSMR
Seyedeh Niusha Alavi Foumani, Ce Guo, Wayne Luk
In this project, we have successfully designed, implemented, deployed and tested a novel FPGA accelerated algorithm for neural network training. The algorithm itself was developed…
Improving Performance Estimation for FPGA-based Accelerators for Convolutional Neural Networks
Martin Ferianc, Hongxiang Fan, Ringo S. W. Chu +2
Field-programmable gate array (FPGA) based accelerators are being widely used for acceleration of convolutional neural networks (CNNs) due to their potential in improving the perfo…