Systematic Design Methodologies for Multi-Engine Deep Learning Accelerators
This thesis presents design methodologies that increase the extent to which key design choices are based on exploration and quantitative evaluation of design alternatives, and identifies architectures that consistently outperform the state-of-the-art, achieving considerable improvements in latency, throughput, energy,...