176 citations · 336 across the 51 of their papers we have counts for
Showing 2017Show all
2 papers · 1 filter
cs.CV2017★ 5 cited
TensorQuant - A Simulation Toolbox for Deep Neural Network Quantization
Dominik Marek Loroch, Norbert Wehn, Franz-Josef Pfreundt +1
Recent research implies that training and inference of deep neural networks (DNN) can be computed with low precision numerical representations of the training/test data, weights an…
cs.LG2017★ 2 cited
Using GPI-2 for Distributed Memory Paralleliziation of the Caffe Toolbox to Speed up Deep Neural Network Training
Martin Kuehn, Janis Keuper, Franz-Josef Pfreundt
Deep Neural Network (DNN) are currently of great inter- est in research and application. The training of these net- works is a compute intensive and time consuming task. To reduce…