Efficient simulated evolution based rerouting and congestion-relaxed layer assignment on 3-D global routing

The increasing complexity of interconnection designs has enhanced the importance of research into global routing when seeking high-routability (low overflow) results or rapid search paths that report wire-length estimations to a placer. This work presents two routing techniques, namely adaptive pseudorandom net-ordering routing and evolution-based rip-up and reroute using a two-stage cost function in a high-performance congestion-driven 2-D global router. We also propose two efficient via-minimization methods, namely congestion relaxation by layer shifting and rip-up and re-assignment, for a dynamic programming-based layer assignment. Experimental results demonstrate that our router achieves performance similar to the first two winning routers in ISPD 2008 Routing Contest in terms of both routability and wire length at a 1.42X and 25.84X faster routing speed. Besides, our layer assignment yields 3.5% to 5.6% fewer vias, 2.2% to 3.3% shorter wirelength and 13% to 27% less runtime than COLA.