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Doomed Run Prediction in Physical Design by Exploiting Sequential Flow and Graph Learning.

, , , and . ICCAD, page 1-9. IEEE, (2021)

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Snap-3D: A Constrained Placement-Driven Physical Design Methodology for High Performance 3-D ICs., , , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 42 (7): 2331-2335 (July 2023)A Framework Design for On-line Human Library., , and . SETE@ICWL, volume 10676 of Lecture Notes in Computer Science, page 349-354. Springer, (2017)3D IC Tier Partitioning of Memory Macros: PPA vs. Thermal Tradeoffs., , , , , and . ISLPED, page 19:1-19:6. ACM, (2022)FastTuner: Transferable Physical Design Parameter Optimization using Fast Reinforcement Learning., , , and . ISPD, page 93-101. ACM, (2024)On Advancing Physical Design Using Graph Neural Networks., and . ICCAD, page 2:1-2:7. ACM, (2022)Doomed Run Prediction in Physical Design by Exploiting Sequential Flow and Graph Learning., , , and . ICCAD, page 1-9. IEEE, (2021)Snap-3D: A Constrained Placement-Driven Physical Design Methodology for Face-to-Face-Bonded 3D ICs., , , , and . ISPD, page 39-46. ACM, (2021)DREAM-GAN: Advancing DREAMPlace towards Commercial-Quality using Generative Adversarial Learning., , , and . ISPD, page 141-148. ACM, (2023)Driving Early Physical Synthesis Exploration through End-of-Flow Total Power Prediction., , , and . MLCAD, page 97-102. ACM / IEEE, (2022)RL-CCD: Concurrent Clock and Data Optimization using Attention-Based Self-Supervised Reinforcement Learning., , , , , and . DAC, page 1-6. IEEE, (2023)