Presentation
GNN-MLS: Signal Routing in Mixed-Node 3D ICs through GNN-Assisted Metal Layer Sharing
DescriptionNative 3D IC design promises commercially viable chips with improved performance and density. While pseudo-3D flows achieve manufacturability, they fall short of full 3D optimization due to reliance on 2D EDA tools, limiting cross-tier optimization. Metal Layer Sharing (MLS) offers a solution by enabling cross-tier routing but introduces two challenges: timing degradation from indiscriminate MLS and testability issues in hybrid-bonded 3D ICs. We propose GNN-MLS, a GNN-assisted framework for targeted cross-tier net optimization through MLS to improve timing globally, alongside a tailored design-for-test (DFT) solution to ensure robust testability with minimal power overhead. Experimental results show GNN-MLS reduces timing violations by up to 79% and improves WNS by 81% and TNS by 94%, advancing pseudo-3D flows toward fully optimized, commercially viable 3D ICs.
Event Type
Research Manuscript
TimeWednesday, June 252:00pm - 2:15pm PDT
Location3006, Level 3