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Snap-3D: A Constrained Placement-Driven Physical Design Methodology for Face-to-Face-Bonded 3D ICs

Published:21 March 2021Publication History

ABSTRACT

3D integration technology is one of the leading options that can advance Moore's Law beyond conventional scaling. Due to the absence of commercial 3D placers and routers, existing 3D physical design flows rely heavily on 2D commercial tools to handle 3D IC physical synthesis. Specifically, these flows build 2D designs first and then convert them into 3D designs. However, several works demonstrate that design qualities degrade during this 2D-3D transformation. In this paper, we overcome this issue with our Snap-3D, a constraint-driven placement approach to build commercial-quality 3D ICs. Our key idea is based on the observation that if the standard cell height is contracted by one half and partitioned into multiple tiers, any commercial 2D placer can place them onto the row structure and naturally achieve high-quality 3D placement. This methodology is shown to optimize power, performance, and area (PPA) metrics across different tiers simultaneously and minimize the aforementioned design quality loss. Experimental results on 7 industrial designs demonstrate that Snap-3D achieves up to 5.4% wirelength, 10.1% power, and 92.3% total negative slack improvements compared with state-of-the-art 3D design flows.

References

  1. Khushu et al. Lakefield: Hybrid cores in 3D package. In Hot Chips Symposium, pages 1--20, 2019.Google ScholarGoogle Scholar
  2. S. Panth et al. Shrunk-2-D: A Physical Design Methodology to Build Commercial- Quality Monolithic 3-D ICs. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2017.Google ScholarGoogle Scholar
  3. B. W. Ku et al. Compact-2D: A physical design methodology to build two-tier gate-level 3-D ICs. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 39(6):1151--1164, 2020.Google ScholarGoogle ScholarCross RefCross Ref
  4. Kyungwook Chang et al. Cascade2D: A design-aware partitioning approach to monolithic 3D IC with 2D commercial tools. International Conference on Computer-Aided Design, pages 1--8, 2016.Google ScholarGoogle Scholar
  5. Jingwei Lu et al. ePlace-3D. ISPD, 2016.Google ScholarGoogle Scholar
  6. D. H. Kim et al. Study of Through-Silicon-Via Impact on the 3-D Stacked IC Layout. TVLSI, 21(5):862--874, 2013.Google ScholarGoogle Scholar
  7. J. Cong and G. Luo. A multilevel analytical placement for 3D ICs. In ASPDAC, pages 361--366, 2009.Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. M. Hsu, Y. Chang, and V. Balabanov. TSV-aware analytical placement for 3D IC designs. In DAC, pages 664--669, 2011.Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Jingwei Lu, Hao Zhuang, Ilgweon Kang, Pengwen Chen, and Chung-Kuan Cheng. ePlace-3D: electrostatics based placement for 3D-ICs. In ISPD, pages 11--18, 2016.Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. S. Panth et al. Placement-driven partitioning for congestion mitigation in monolithic 3D IC designs. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 34(4):540--553, 2015.Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Snap-3D: A Constrained Placement-Driven Physical Design Methodology for Face-to-Face-Bonded 3D ICs

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          • Published in

            cover image ACM Conferences
            ISPD '21: Proceedings of the 2021 International Symposium on Physical Design
            March 2021
            159 pages
            ISBN:9781450383004
            DOI:10.1145/3439706

            Copyright © 2021 ACM

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            New York, NY, United States

            Publication History

            • Published: 21 March 2021

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