Feng-Lei Fan, Jinjun Xiong, et al.
Neural Networks
This paper presents a fast and accurate solution, namely Fashion, to routability-driven global routing problem. Fashion is based on two efficient yet effective techniques: 1) dynamic pattern routing (DPR) and 2) movable-segment-driven DPR. These two techniques enable Fashion to explore large solution space to achieve high routability with low time complexity. Compared with BoxRouter, Fashion has a shorter wire length and reduces overflow and runtime by 5 and 15 times, respectively. Compared with FastRoute, Fashion has similar runtime but 90% smaller overflow and 1.9% shorter wire length. Fashion is significantly better than Labyrinth and Fengshui in terms of overflow, wire length, and runtime. © 2006 IEEE.
Feng-Lei Fan, Jinjun Xiong, et al.
Neural Networks
Khoi Nguyen Mac, Dhiraj Joshi, et al.
ICCV 2019
Abdul Dakkak, Cheng Li, et al.
ICS 2019
Ren Wang, Meng Wang, et al.
IEEE JSTSP