no code implementations • 28 Mar 2018 • Yuechao Gao, Nianhong Liu, Sheng Zhang
It is a challenging task to deploy computationally and memory intensive State-of-the-art deep neural networks (DNNs) on embedded systems with limited hardware resources and power budgets.
1 code implementation • 23 Jan 2018 • Yuechao Gao, Nianhong Liu, Sheng Zhang
To address memory and computation resource limitations for hardware-oriented acceleration of deep convolutional neural networks (CNNs), we present a computation flow, stacked filters stationary flow (SFS), and a corresponding data encoding format, relative indexed compressed sparse filter format (CSF), to make the best of data sparsity, and simplify data handling at execution time.