An Energy-Efficient 3D Cross-Ring Accelerator With 3D-SRAM Cubes for Hybrid Deep Neural Networks

Hybrid deep neural networks (DNNs) are utilized for various embedded applications and composed of convolution layers, fully connected layers and recurrent layers. However, hybrid-DNNs are difficult to be fully deployed to edge devices due to both memory-intensive and computation-intensive workloads. Additionally, the resource utilization of a hybrid-DNN accelerator is less than those of CNN accele...