• DocumentCode
    2943884
  • Title

    An ℋ-matrix parametric cascading based fast direct finite-element solver for large-scale circuit extraction

  • Author

    Liu, Haixin ; Jiao, Dan

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2011
  • fDate
    3-8 July 2011
  • Firstpage
    2491
  • Lastpage
    2494
  • Abstract
    In the electromagnetic analysis of problems with complex irregular geometries and arbitrary inhomogeneity, the finite-element method (FEM) is a favorable choice compared to other computational electromagnetic methods such as finite-difference-based methods and integral-equation-based methods. Although an FEM based analysis generates a sparse system matrix, its solution is highly computationally challenging if the problem size is large. An ℋ-matrix based direct finite element solver was recently developed to solve large-scale electrodynamic problems. The storage requirements and matrix-vector multiplication have been shown to be of complexity O(kNlogN), and the complexity of direct inverse and LU is shown to be O(k2Nlog2N), where k is a small parameter that is adaptively determined based on accuracy requirements, and N is the matrix size. In, a layered ℋ-inverse based direct solver was developed. It takes advantage of the zero blocks in the original FEM matrix, and reduces the storage complexity to O(MlogM) and the time complexity to O(Nlog2M), where M is the number of unknowns in a single layer, which is, in general, orders of magnitude smaller than N. The methods developed in do not make any theoretical approximation or simplification. They are developed for the analysis of general electromagnetic problems. The engineering problem concerned in this work is the analysis of very large scale integrated (VLSI) circuits.
  • Keywords
    VLSI; finite element analysis; sparse matrices; ℋ-matrix parametric cascading; FEM; VLSI circuits; complex irregular geometry; direct finite-element solver; electromagnetic analysis; finite-element method; large-scale circuit extraction; large-scale electrodynamic; matrix-vector multiplication; sparse system matrix; storage complexity; storage requirement; time complexity; very large scale integrated circuit; Accuracy; Complexity theory; Finite element methods; Integrated circuits; Periodic structures; Scattering parameters; Surface treatment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (APSURSI), 2011 IEEE International Symposium on
  • Conference_Location
    Spokane, WA
  • ISSN
    1522-3965
  • Print_ISBN
    978-1-4244-9562-7
  • Type

    conf

  • DOI
    10.1109/APS.2011.5997029
  • Filename
    5997029