33 citations · 91 across the 17 of their papers we have counts for
Showing 2017 · cs.NEShow all
2 papers · 2 filters
cs.NE2017★ 16 cited
Tartan: Accelerating Fully-Connected and Convolutional Layers in Deep Learning Networks by Exploiting Numerical Precision Variability
Alberto Delmas, Sayeh Sharify, Patrick Judd +1
Tartan (TRT), a hardware accelerator for inference with Deep Neural Networks (DNNs), is presented and evaluated on Convolutional Neural Networks. TRT exploits the variable per laye…
cs.NE2017★ 15 cited
Dynamic Stripes: Exploiting the Dynamic Precision Requirements of Activation Values in Neural Networks
Alberto Delmas, Patrick Judd, Sayeh Sharify +1
Stripes is a Deep Neural Network (DNN) accelerator that uses bit-serial computation to offer performance that is proportional to the fixed-point precision of the activation values.…