Tile-Based Architecture Exploration for Convolutional Accelerators in Deep Neural Networks

This paper presents the tile-based DCNN accelerator architecture. The hierarchical interconnection networks enable distributed data delivery to maximize the data bandwidth both for the conventional and depthwise convolution layers. An exploration tool is also developed to optimize architectural parameters under the trade-off among specific performance, power, and area. The case study shows that ou...