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RouteNet: routability prediction for mixed-size designs using convolutional neural network.

, , , , , , and . ICCAD, page 80. ACM, (2018)

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FIST: A Feature-Importance Sampling and Tree-Based Method for Automatic Design Flow Parameter Tuning., , , , , , , , , and . ASP-DAC, page 19-25. IEEE, (2020)Substrate Signal Routing Solution Exploration for High-Density Packages with Machine Learning., , , , , , and . VLSI-DAT, page 1-4. IEEE, (2022)Pole-Aware Analog Layout Synthesis Considering Monotonic Current Flows and Wire Crossings., , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 42 (1): 266-279 (2023)Routability-Driven Macro Placement with Embedded CNN-Based Prediction Model., , , , , , , and . DATE, page 180-185. IEEE, (2019)DPRoute: Deep Learning Framework for Package Routing., , , , , , and . ASP-DAC, page 277-282. ACM, (2023)Obstacle-avoiding open-net connector with precise shortest distance estimation., , , and . DAC, page 46:1-46:6. ACM, (2018)RouteNet: routability prediction for mixed-size designs using convolutional neural network., , , , , , and . ICCAD, page 80. ACM, (2018)Predicting lifetime by degradation tests: A case study of ISO 10995., , and . Qual. Reliab. Eng. Int., 34 (6): 1228-1237 (2018)A Class of Hierarchical Multivariate Wiener Processes for Modeling Dependent Degradation Data., and . Technometrics, 66 (2): 141-156 (April 2024)