Energy and Area Efficient Systolic Accelerator for Sparse Neural Networks
Deep neural networks (DNNs) are increasingly deployed in real-time applications such as autonomous driving, robotics, and computer vision, where high accuracy must be achieved under strict performance and energy constraints. These networks rely heavily on matrix multiplication operations, which impose significant compu...