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A Machine Learning-Powered Tier Partitioning Methodology for Monolithic 3-D ICs.

, , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (11): 4575-4586 (2022)

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Macro-3D: A Physical Design Methodology for Face-to-Face-Stacked Heterogeneous 3D ICs., , , , , and . DATE, page 37-42. IEEE, (2020)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 Machine Learning-Powered Tier Partitioning Methodology for Monolithic 3-D ICs., , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 41 (11): 4575-4586 (2022)Pin-3D: Effective Physical Design Methodology for Multidie Co-Optimization in Monolithic 3-D ICs., , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 43 (4): 1009-1022 (April 2024)ECO-GNN: Signoff Power Prediction Using Graph Neural Networks with Subgraph Approximation., , , and . ACM Trans. Design Autom. Electr. Syst., 28 (4): 55:1-55:22 (July 2023)The Law of Attraction: Affinity-Aware Placement Optimization using Graph Neural Networks., , and . ISPD, page 7-14. ACM, (2021)Road to High-Performance 3D ICs: Performance Optimization Methodologies for Monolithic 3D ICs., , , and . ISLPED, page 33:1-33:6. ACM, (2018)Routing Layer Sharing: A New Opportunity for Routing Optimization in Monolithic 3D ICs., and . ISPD, page 127-134. ACM, (2022)On Legalization of Die Bonding Bumps and Pads for 3D ICs., , , , and . ISPD, page 62-70. ACM, (2023)Snap-3D: A Constrained Placement-Driven Physical Design Methodology for Face-to-Face-Bonded 3D ICs., , , , and . ISPD, page 39-46. ACM, (2021)