Intelligent and Efficient Interconnection Network Design for Multicore Systems

Dr. Wang and his research team tackle the critical Network-on-Chip (NoC) design challenges by developing an intelligent, adaptive, multi-layer approach design framework for multicore systems. The overarching goal is to enable cooperation and dynamic adaptation across all system abstraction layers to obtain globally optimal solutions for system-level reliability, performance, power, security, and cost. Besides the development of NoC enhancement techniques with hardware innovations, machine-learning-based control mechanisms will be designed to accurately capture dynamic cross-layer interactions and auto-tune NoC functionality for improved system-level performance metrics. Through externally funded programs awarded by the National Science Foundation, the project develops various dynamic modeling of complex cross-layer interactions, and applications, and proof-of-concept implementation. This project will significantly advance the fundamental understanding of the interplay between the NoC and the rest of the components on the chip (cores, memory, etc.) as well as design tradeoffs between performance, power, reliability, security, and cost in current and future parallel computing systems. For further details please click here.