Architecture, Dataflow and Physical Design Implications of 3D-ICs for DNN-Accelerators
Architecture, Dataflow and Physical Design Implications of 3D-ICs for DNN-Accelerators
The everlasting demand for higher computing power for deep neural networks (DNNs) drives the development of parallel computing architectures. 3D integration, in which chips are integrated and connected vertically, can further increase performance because it introduces another level of spatial parallelism. Therefore, we analyze dataflows, performance, area, power and temperature …