Logo image
Back
Machine Learning based Routing Guide Generation and its Application to Design Rule Violation Reduction
Conference paper

Machine Learning based Routing Guide Generation and its Application to Design Rule Violation Reduction

Chen-Han Lu, Hsin-Hung Pan, Ting-Chi Wang, Po-Yuan Chen and Chin-Fang Cindy Shen
2023 International VLSI Symposium on Technology, Systems and Applications, VLSI-TSA/VLSI-DAT 2023 - Proceedings
2023
DOI: https://doi.org/10.1109/VLSI-TSA/VLSI-DAT57221.2023.10134516

Abstract

design rule violation prediction global routing guide machine learning Artificial Intelligence Computer Networks and Communications Computer Science Applications Hardware and Architecture Information Systems Electrical and Electronic Engineering
In the physical design flow, routing and design rule checks are usually performed iteratively to generate a high-quality solution. However, running the whole routing stage to get the design rule violations (DRVs) is time-consuming. Thus, a fast and accurate DRV predictor is urgently needed. In this paper, we apply the machine learning technique to predict the DRVs from the placement and lightweight global routing results. Then, we take the predicted DRV information to generate the routing guides that enable the router to enhance the routing quality. The experimental results are shown to support our contributions.

Metrics

1 Record Views

Details

Logo image