Name
Abstract | ||
|---|---|---|
Layout hotspot detection is of great importance in the physical verification flow. Deep neural network models have been applied to hotspot detection and achieved great successes. The layouts can be viewed as binary images. The binarized neural network (BNN) can thus be suitable for the hotspot detection problem. In this article, we propose a new deep learning architecture based on BNNs to speed up... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/TCAD.2020.3015918 | IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems |
Keywords | DocType | Volume |
Neural networks,Layout,Computer architecture,Machine learning,Detectors,Convolution,Computational modeling | Journal | 40 |
Issue | ISSN | Citations |
7 | 0278-0070 | 2 |
PageRank | References | Authors |
0.37 | 0 | 5 |