基于CircuitNet数据库的布线拥塞和设计违规点预测算法研究
A Study on Routing Congestion Prediction and Design Rule Check (DRC) Hotspot Prediction Based on the CircuitNet Database
The main idea of our algorithm is to employ the FCN4S frame and the ResNet18 backbone network, which can be found in the file:
Congestion_and_DRC/models/FCN4S.py
基于CircuitNet数据库的布线拥塞和设计违规点预测算法研究
A Study on Routing Congestion Prediction and Design Rule Check (DRC) Hotspot Prediction Based on the CircuitNet Database
CircuitNet-Congestion-DRC-Prediction
基于CircuitNet数据库的布线拥塞和设计违规点预测算法研究 A Study on Routing Congestion Prediction and Design Rule Check (DRC) Hotspot Prediction Based on the CircuitNet Database
For the CircuitNet database and the benchmark of congestion & DRC predictions, please reference to: https://circuitnet.github.io https://github.com/circuitnet/CircuitNet
The main idea of our algorithm is to employ the FCN4S frame and the ResNet18 backbone network, which can be found in the file: Congestion_and_DRC/models/FCN4S.py
Two trained models: (1) Congestion Prediction Model(45.82M): https://mail.qq.com/cgi-bin/ftnExs_download?k=35323635ecee149f4a5414311434044d1b4657040a03015a4e0453510219015a06041b515452554f55540e0c0204040450045057321536210c5c515041405f0d0d6d5b5a56515a3d0a465347416b0452530206051c44420a630f&t=exs_ftn_download&code=c265246b
(2) DRC Prediction Model(45.46M): https://mail.qq.com/cgi-bin/ftnExs_download?k=2c373735b8cd1fc94a5115311063051b1b4301500f5052524e040300024e530755551a030e54021950545450015a010c005156013679377031746858590752583c5e43504410680653070705064d47400b370a&t=exs_ftn_download&code=c7756c74