most citedCompRRAE: RRAM-based Convolutional Neural Network Accelerator with Reduced Computations through a Runtime Activation Estimation

11 citations · 14 across the 2 of their papers we have counts for

collaborators

2 papers

eess.SP2019★ 11 cited

CompRRAE: RRAM-based Convolutional Neural Network Accelerator with Reduced Computations through a Runtime Activation Estimation

Xizi Chen, Jingyang Zhu, Jingbo Jiang +1

Recently Resistive-RAM (RRAM) crossbar has been used in the design of the accelerator of convolutional neural networks (CNNs) to solve the memory wall issue. However, the intensive…

cs.LG2017★ 3 cited

SparseNN: An Energy-Efficient Neural Network Accelerator Exploiting Input and Output Sparsity

Jingyang Zhu, Jingbo Jiang, Xizi Chen +1

Contemporary Deep Neural Network (DNN) contains millions of synaptic connections with tens to hundreds of layers. The large computation and memory requirements pose a challenge to…