CircuitNet: an open-source dataset for machine learning applications in electronic design automation (EDA)
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s11432-022-3571-8.pdf
Reference5 articles.
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2. Bustany I S, Chinnery D, Shinnerl J R, et al. ISPD 2015 benchmarks with fence regions and routing blockages for detailed-routing-driven placement. In: Proceedings of the 2015 Symposium on International Symposium on Physical Design, 2015. 157–164
3. Liu S T, Sun Q, Liao P Y, et al. Global placement with deep learning-enabled explicit routability optimization. In: Proceedings of Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021. 1821–1824
4. Xie Z Y, Huang Y-H, Fang G-Q, et al. RouteNet: routability prediction for mixed-size designs using convolutional neural network. In: Proceedings of IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 2018. 1–8
5. Chhabria V A, Zhang Y Q, Ren H X, et al. MAVIREC: ML-aided vectored IR-drop estimation and classification. In: Proceedings of Design, Automation & Test in Europe Conference & Exhibition (DATE), 2021. 1825–1828
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