18 citations · 73 across the 14 of their papers we have counts for
3 papers · 1 filter
Accelerating Training of Deep Neural Networks via Sparse Edge Processing
Sourya Dey, Yinan Shao, Keith M. Chugg +1
We propose a reconfigurable hardware architecture for deep neural networks (DNNs) capable of online training and inference, which uses algorithmically pre-determined, structured sp…
Interleaver Design for Deep Neural Networks
Sourya Dey, Peter A. Beerel, Keith M. Chugg
We propose a class of interleavers for a novel deep neural network (DNN) architecture that uses algorithmically pre-determined, structured sparsity to significantly lower memory an…
Characterizing Sparse Connectivity Patterns in Neural Networks
Sourya Dey, Kuan-Wen Huang, Peter A. Beerel +1
We propose a novel way of reducing the number of parameters in the storage-hungry fully connected layers of a neural network by using pre-defined sparsity, where the majority of co…