RL-Guided Detailed Routing Framework for Advanced Custom Circuits


A technical paper titled "Reinforcement Learning Guided Detailed Routing for Custom Circuits" was published by researchers at UT Austin, Princeton University, and NVIDIA. "This paper presents a novel detailed routing framework for custom circuits that leverages deep reinforcement learning to optimize routing patterns while considering custom routing constraints and industrial design rules. C... » read more

Automatic Layout Generator Targeting Region-based Layouts for Advanced FinFET-Based Full-Custom Circuits (UT Austin/NVIDIA)


A technical paper titled "AutoCRAFT: Layout Automation for Custom Circuits in Advanced FinFET Technologies" was published by researchers at UT Austin and NVIDIA. "This paper presents AutoCRAFT, an automatic layout generator targeting region-based layouts for advanced FinFET-based full-custom circuits. AutoCRAFT uses specialized place-and-route (P&R) algorithms to handle various design cons... » read more