8 citations · 8 across the 1 of their papers we have counts for
2 papers
cs.DC2020
Caffe Barista: Brewing Caffe with FPGAs in the Training Loop
Diederik Adriaan Vink, Aditya Rajagopal, Stylianos I. Venieris +1
As the complexity of deep learning (DL) models increases, their compute requirements increase accordingly. Deploying a Convolutional Neural Network (CNN) involves two phases: train…
cs.CV2020★ 8 cited
Multi-Precision Policy Enforced Training (MuPPET): A precision-switching strategy for quantised fixed-point training of CNNs
Aditya Rajagopal, Diederik Adriaan Vink, Stylianos I. Venieris +1
Large-scale convolutional neural networks (CNNs) suffer from very long training times, spanning from hours to weeks, limiting the productivity and experimentation of deep learning…