Shaped Pruning for Efficient Memory Addressing in DNN Accelerators

In this paper, we propose a pruning strategy called “shaped pruning” to improve the efficiency of memory access. In the proposed approach, only predefined part of a filter can have weight parameters and other parts are not allowed to have the parameters. Compared to conventional pruning schemes introducing sparse filters, through the approach, memory addressing logic can be simplified and memory a...