64 citations · 147 across the 44 of their papers we have counts for
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cs.ET2018★ 1 cited
SpRRAM: A Predefined Sparsity Based Memristive Neuromorphic Circuit for Low Power Application
Arash Fayyazi, Souvik Kundu, Shahin Nazarian +2
In this paper, we propose an efficient predefined structured sparsity-based ex-situ training framework for a hybrid CMOS-memristive neuromorphic hardware for deep neural network to…
cs.DC2018★ 13 cited
A Highly Parallel FPGA Implementation of Sparse Neural Network Training
Sourya Dey, Diandian Chen, Zongyang Li +4
We demonstrate an FPGA implementation of a parallel and reconfigurable architecture for sparse neural networks, capable of on-chip training and inference. The network connectivity…