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Congestion prediction in floorplanning

Published: 18 January 2005 Publication History
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  • Abstract

    Routability optimization has become the major concern in floorplanning. In traditional floorplanners, area minimization is an important issue. Due to the recent advances in VLSI technology, interconnect has become a dominant factor to the overall performance of a circuit. Routability prediction is thus very important in the floorplanning stage. In this paper, we propose a new congestion model to predict the congestion after detailed routing which is not confined to the assumption of shortest Manhattan distance routes. We have compared our new models and some existing models with the actual congestion measures obtained by global routing some placement results (using the Capo placer [3]) with a publicly available maze router [2]. Results show that our models can make significant improvement in estimation accuracy over the other models.

    References

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    http://www.cs.ucla.edu/kastner/labyrinth/.
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    A. E. Caldwell, A. B. Kahng, and I. L. Markov. Can recursive bisection produce routable placements. In Proceedings of the 37th ACM/IEEE Design Automation Conference, pages 477--482, 2000.
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    C. C. Chang, J. Cong, D. Z. Pan, and X. Yuan. Interconnect-driven floorplanning with fast global wiring planning and optimization. In Proc. SRC Tech. Conference, 2000.
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    H. M. Chen, H. Zhou, F. Y. Young, D. Wong, H. H. Yang, and N. Sherwani. Integrated floorplanning and interconnect planning. In Proceedings of IEEE Internation Cnference on Computer-Aided Design, pages 354--357, 1999.
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    A. B. Kahng and X. Xu. Accurate pseudo-constructive wirelength and congestion estimation. In Proceedings of International Workshop on System-level Interconnect Prediction, pages 61--68, 2003.
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    S. T. W. Lai, E. F. Y. Young, and C. C. N. Chu. A new and efficient congestion evaluation model in floorplanning: Wire density control with twin binary trees. In Proceedings of Design, Automation and Test in Europe Conference and Exhibition, 2003.
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    J. Lou, S. Krishnamoorthy, and H. S. Sheng. Estimating routing congestion using probabilistic analysis. In Proceedings of Internation Symposium on Physical Design, pages 112--117, 2001.
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    Y. C. Ma, X. L. Hong, S. Q. Dong, S. Chen, Y. C. Cai, C. K. Cheng, and J. Gu. Dynamic global buffer planning optimization based on detail block locating and congestion analysis. In Proceedings of ACM/IEEE Design Automation Conference, pages 806--811, 2003.
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    C. W. Sham and E. F. Y. Young. Routability-driven floorplanning with buffer planning. In IEEE Transactions on CAD of Integrated Circuit and System, pages 470--480, April 2003.
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    M. Wang, X. Yang, and M. Sarrafzadeh. Congestion minimization during placement. In IEEE Transactions on CAD of Integrated Circuit and System, pages 1140--1148, October 2000.
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    J. Westra, C. Bartels, and P. Groeneveld. Probabilistic congestion prediction. In Proceedings of Internation Symposium on Physical Design, 2004.

    Cited By

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    • (2019)Supervised-Learning Congestion Predictor For Routability-Driven Global Routing2019 International Symposium on VLSI Design, Automation and Test (VLSI-DAT)10.1109/VLSI-DAT.2019.8742060(1-4)Online publication date: Apr-2019
    • (2012)A novel congestion estimation model and congestion aware floorplan for 3D ICs2012 International Conference on Innovation Management and Technology Research10.1109/ICIMTR.2012.6236388(199-204)Online publication date: May-2012
    • (2011)Interface optimization for improved routability in chip-package-board co-designProceedings of the System Level Interconnect Prediction Workshop10.5555/2134224.2134234(1-8)Online publication date: 5-Jun-2011
    • Show More Cited By

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    cover image ACM Conferences
    ASP-DAC '05: Proceedings of the 2005 Asia and South Pacific Design Automation Conference
    January 2005
    1495 pages
    ISBN:0780387376
    DOI:10.1145/1120725
    • General Chair:
    • Ting-Ao Tang
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 18 January 2005

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    View all
    • (2019)Supervised-Learning Congestion Predictor For Routability-Driven Global Routing2019 International Symposium on VLSI Design, Automation and Test (VLSI-DAT)10.1109/VLSI-DAT.2019.8742060(1-4)Online publication date: Apr-2019
    • (2012)A novel congestion estimation model and congestion aware floorplan for 3D ICs2012 International Conference on Innovation Management and Technology Research10.1109/ICIMTR.2012.6236388(199-204)Online publication date: May-2012
    • (2011)Interface optimization for improved routability in chip-package-board co-designProceedings of the System Level Interconnect Prediction Workshop10.5555/2134224.2134234(1-8)Online publication date: 5-Jun-2011
    • (2011)Interface optimization for improved routability in chip-package-board co-designProceedings of the International Workshop on System Level Interconnect Prediction10.1109/SLIP.2011.6135430(1-8)Online publication date: 5-Jun-2011
    • (2009)Congestion prediction in early stages of physical designACM Transactions on Design Automation of Electronic Systems10.1145/1455229.145524114:1(1-18)Online publication date: 23-Jan-2009
    • (2007)Evaluation, prediction and reduction of routing congestionMicroelectronics Journal10.1016/j.mejo.2007.07.12238:8-9(942-958)Online publication date: Aug-2007

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