• DocumentCode
    465355
  • Title

    Off-chip Decoupling Capacitor Allocation for Chip Package Co-Design

  • Author

    Yu, Hao ; Chu, Chunta ; He, Lei

  • Author_Institution
    Berkeley-DA Inc., Santa Clara
  • fYear
    2007
  • fDate
    4-8 June 2007
  • Firstpage
    618
  • Lastpage
    621
  • Abstract
    Off-chip decoupling capacitor (decap) allocation is a demanding task during package and chip codesign. Existing approaches can not handle large numbers of I/O counts and large numbers of legal decap positions. In this paper, we propose a fast decoupling capacitor allocation method. By applying a spectral clustering, a small amount of principal I/Os can be found. Accordingly, the large power supply network is partitioned into several blocks each with only one principal I/O. This enables a localized macromodeling for each block by a triangular-structured reduction. In addition, to systemically consider a large legal position map in a manageable fashion, the map of legal positions is decomposed into multiple rings, which are further parameterized in each block. The decaps are then allocated according to the sensitivity obtained from the parameterized macro- model for each block. Compared to the PRIMA-based macromodeling, experiments show that our method (TBS2) is 25X faster and has 3.04X smaller error. Moreover, our decap allocation reduces the optimization time by 97X, and reduces decap cost by up to 16% to meet the same power-integrty target.
  • Keywords
    capacitors; integrated circuit packaging; chip package co-design; chip-package interface; localized macromodeling; off-chip decoupling capacitor allocation; spectral clustering; triangular-structured reduction; Algorithm design and analysis; Capacitors; Costs; Integrated circuit modeling; Integrated circuit packaging; Law; Legal factors; Noise level; Power supplies; Resonance; Algorithms; Model Order Reduction; PG grid simulation; design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Design Automation Conference, 2007. DAC '07. 44th ACM/IEEE
  • Conference_Location
    San Diego, CA
  • ISSN
    0738-100X
  • Print_ISBN
    978-1-59593-627-1
  • Type

    conf

  • Filename
    4261256