Design of a Flexible Hardware Accelerator for Fast Convolutions Using Row-Stationary Dataflow
The growth of Convolutional Neural Networks (CNNs) in applications such as image classification and real-time object detection is limited by high computational and energy costs, especially for resource-constrained embedded systems. To address this challenge, this paper presents a fully open-source and flexible hardware...