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mFAR: fixed-points-addition-based VLSI placement algorithm

Published:03 April 2005Publication History

ABSTRACT

A placement problem can be formulated as a quadratic program with non-linear constraints. Those constraints make the problem hard. Omitting the constraints and solving the unconstraint problem results in placement with substantial cell overlaps. To remove the overlaps, we introduce fixed points into the non-constrained quadratic-programming formulation. Acting as pseudo cells at fixed locations, they can be used to pull cells away from the dense regions to reduce overlapping. In this paper, we present a large-scale placement algorithm based on fixed-point addition.

References

  1. H. Eisenmann and F.M.Johannes, "Generic Global Placement and Floor planning", in Proc. of the 35th Design Automation Conference, pp. 269--274, 1998. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. B. Hu and M. Marek-Sadowska, "FAR: Fixed Point Addition and Relaxation based Placement", Proc. Intl. Symp. on Physical Design, 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. B. Hu and M. Marek-Sadowska, "Multilevel Fixed-Points-Addition based Placement", to Appear on IEEE Trans. on CAD. Google ScholarGoogle ScholarDigital LibraryDigital Library
  4. N. Viswanathan and C. C.-N Chu, "FastPlace: Efficient Analytical Placement using Cell Shifting, Iterative Local Refinement and a Hybrid Net Model", Proc. Intl. Symp. on Physical Design, 2004. Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. mFAR: fixed-points-addition-based VLSI placement algorithm

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      • Published in

        cover image ACM Conferences
        ISPD '05: Proceedings of the 2005 international symposium on Physical design
        April 2005
        258 pages
        ISBN:1595930213
        DOI:10.1145/1055137

        Copyright © 2005 ACM

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 3 April 2005

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        Overall Acceptance Rate62of172submissions,36%

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