Skip Abstract Section
Abstract
Jointly sponsored by ACM and IEEE, ICCAD is the premier forum to explore new challenges, present leading-edge innovative solutions, and identify emerging technologies in the Electronic Design Automation (EDA) research areas. ICCAD covers the full range of Computer-Aided Design (CAD) topics - from device and circuit-level up through system-level, as well as post-CMOS design.
Cited By
-
Chen G, Geng H, Yu B, Pan D, Lafferty N and Grunes H (2024). Open-source differentiable lithography imaging framework DTCO and Computational Patterning III, 10.1117/12.3009980, 9781510672147, (19)
-
Yamamoto K, Yanagisawa H, Volpe G, Pereira J, Brunner D and Ozcan A (2023). Physics-aware-trained diffractive deep neural networks Emerging Topics in Artificial Intelligence (ETAI) 2023, 10.1117/12.2675468, 9781510665248, (56)
Index Terms
- Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design
Index terms have been assigned to the content through auto-classification.
Please enable JavaScript to view thecomments powered by Disqus.