Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning KU Leuven
In this research, the focus is on the the design of energy-efficient and flexible hardware architectures and hardware-software co-optimization strategies to enable early design space exploration of hardware architectures for (extreme)-edge-computing. The research first looks into the design of the highly specialized single hardware accelerator optimized for the application of object detection in drones. As the application and model to be ...