• DocumentCode
    3377641
  • Title

    A hierarchical matrix inversion algorithm for vectorless power grid verification

  • Author

    Xiong, Xuanxing ; Wang, Jia

  • Author_Institution
    Electr. & Comput. Eng. Dept., Illinois Inst. of Technol., Chicago, IL, USA
  • fYear
    2010
  • fDate
    7-11 Nov. 2010
  • Firstpage
    543
  • Lastpage
    550
  • Abstract
    Vectorless power grid verification is a powerful technique to validate the robustness of the on-chip power distribution network for all possible current waveforms. Formulated and solved as linear programming problems, vectorless power grid verification demands intensive computational power due to the large number of nodes in modern power grids. Previous work showed that the performance bottleneck of this powerful technique is within the sub-problem of power grid analysis, which essentially computes the inverse of the sparse but large power grid matrix. In this paper, we propose a hierarchical matrix inversion algorithm to compute the rows of the inverse efficiently by exploiting the structure of the power grid. The proposed algorithm is integrated with a previous dual algorithm addressing an orthogonal sub-problem for vectorless power grid verification. Results show that the proposed hierarchical algorithm accelerates the matrix inversion significantly, and thus makes the overall vectorless power grid verification efficient.
  • Keywords
    integrated circuit design; linear programming; power grids; power supply circuits; current waveforms; dual algorithm; hierarchical matrix inversion algorithm; linear programming problems; on-chip power distribution network; orthogonal sub-problem; power grid analysis; power grid matrix; vectorless power grid verification; Accuracy; Algorithm design and analysis; Analytical models; Clustering algorithms; Complexity theory; Noise; Power grids;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer-Aided Design (ICCAD), 2010 IEEE/ACM International Conference on
  • Conference_Location
    San Jose, CA
  • ISSN
    1092-3152
  • Print_ISBN
    978-1-4244-8193-4
  • Type

    conf

  • DOI
    10.1109/ICCAD.2010.5654195
  • Filename
    5654195