IEEE

Hybrid Graph Representation and Learning Framework for High-Level Synthesis Design Space Exploration

Abstract: Optimizing hardware accelerators in high-level synthesis (HLS) relies on design space exploration (DSE), which involves experimenting with different pragma options and trading off hardware ...
IEEE

Distributed Traffic Signal Control Model for Accurate Policy Learning Under Dynamic Traffic Flow: A Graph Forecast-State Vector Driven Deep Reinforcement Learning Framework

Abstract: The increasing severity of traffic congestion has driven the application of deep reinforcement learning (DRL) in traffic signal control. It utilizes spatial states to interact with ...