Deep Learning Applications for Circuit Optimization and Hardware Organization
Abstract Traditional Electronic Design Automation (EDA) logic synthesis struggles with NP-hard state-space explosions as hardware scales to billions of gates. This paper explores deep learning paradigms specifically Graph Neural Networks (GNNs), Reinforcement Learning (RL), and generative transformers to accelerate dig...