33 citations · 51 across the 5 of their papers we have counts for
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cs.DC2017
Loom: Exploiting Weight and Activation Precisions to Accelerate Convolutional Neural Networks
Sayeh Sharify, Alberto Delmas Lascorz, Kevin Siu +2
Loom (LM), a hardware inference accelerator for Convolutional Neural Networks (CNNs) is presented. In LM every bit of data precision that can be saved translates to proportional pe…
cs.LG2017★ 33 cited
Cnvlutin2: Ineffectual-Activation-and-Weight-Free Deep Neural Network Computing
Patrick Judd, Alberto Delmas, Sayeh Sharify +1
We discuss several modifications and extensions over the previous proposed Cnvlutin (CNV) accelerator for convolutional and fully-connected layers of Deep Learning Network. We firs…