• DocumentCode
    1197201
  • Title

    Complex dielectric image Green´s function method combined with FDHT for on-chip interconnects

  • Author

    Dai, W. ; Li, Z. ; Mao, J.

  • Author_Institution
    Dept. of Electron. Eng., Shanghai Jiaotong Univ., China
  • Volume
    152
  • Issue
    5
  • fYear
    2005
  • Firstpage
    385
  • Lastpage
    394
  • Abstract
    A fast discrete Hadamard transform (FDHT) is proposed through a butterfly iterative algorithm involving only additions and subtractions. To speed the extraction of frequency-dependent capacitance and conductance for on-chip transmission lines and interconnects, the novel FDHT method is used for the first time to sparsify the full matrix established by the method of moments combined with a complex dielectric image Green´s function method accelerated by a Pade approximation. Numerical results show that the proposed efficient method sparsifies the matrix significantly. For the whole solution of matrix equations the computational speed of the FDHT sparsification method combined with GMRES iterations is faster than that of the wavelet sparsification method with Schultz iterations. Capacitance and conductance calculated from the proposed method with high sparse ratio are in good agreement with the results computed from FastCap and the complex dielectric image Green´s function method.
  • Keywords
    Green´s function methods; Hadamard transforms; capacitance; dielectric function; dielectric materials; electric admittance; integrated circuit interconnections; iterative methods; method of moments; monolithic integrated circuits; sparse matrices; FDHT; GMRES iteration; Pade approximation; Schultz iteration; butterfly iterative algorithm; conductance; dielectric image Green´s function method; fast discrete Hadamard transform; frequency-dependent capacitance extraction; method of moment; on-chip transmission lines; sparse matrix;
  • fLanguage
    English
  • Journal_Title
    Microwaves, Antennas and Propagation, IEE Proceedings
  • Publisher
    iet
  • ISSN
    1350-2417
  • Type

    jour

  • DOI
    10.1049/ip-map:20050021
  • Filename
    1521995