An Efficient Convolutional Neural Network Accelerator

This paper proposes a three-dimensional tree architecture. This architecture consists of 32 tree architectures. Each tree architecture is responsible for all operations of a kernel, so that each kernel can be processed in parallel. The inner product operation in each kernel can also use the characteristics of the tree architecture to achieve parallel operations. Operations in two different dimensions achieve the goal of parallel processing.