Asymptotic Waveform Evaluation

And Moment Matching for Interconnect Analysis

  • Eli Chiprout
  • Michel S. Nakhla

Table of contents

  1. Front Matter
    Pages i-xvi
  2. Eli Chiprout, Michel S. Nakhla
    Pages 1-13
  3. Eli Chiprout, Michel S. Nakhla
    Pages 15-39
  4. Eli Chiprout, Michel S. Nakhla
    Pages 41-65
  5. Eli Chiprout, Michel S. Nakhla
    Pages 67-84
  6. Eli Chiprout, Michel S. Nakhla
    Pages 85-102
  7. Eli Chiprout, Michel S. Nakhla
    Pages 103-127
  8. Eli Chiprout, Michel S. Nakhla
    Pages 129-150
  9. Eli Chiprout, Michel S. Nakhla
    Pages 151-167
  10. Eli Chiprout, Michel S. Nakhla
    Pages 169-178
  11. Back Matter
    Pages 179-197

About this book


The intense drive for signal integrity has been at the forefront ofrapid and new developments in CAD algorithms. Thousands ofengineers, intent on achieving the best design possible, use SPICE on a daily basis for analog simulation and general circuit analysis. But the strained demand for high data speeds, coupled with miniaturizationon an unprecedented scale, has highlighted the previously negligible effects of interconnects; effects which are not always handled appro­ priately by the present levels of SPICE. Signals at these higher speeds may be degraded by long interconnect lengths compared to the increasingly shorter sig­ nal rise times. Interconnect structures can be diverse (pins, connectors, leads, microstrips, striplines, etc. ) and present at any of the hierarchical packaging levels: integrated circuits, printed circuit boards, multi-chip modules or sys­ tem backplanes. Analysis of these effects in any CAD package has become a necessity. Asymptotic waveform evaluation (AWE) and other moment matching tech­ niques have recently proven useful in the analysis of interconnect structures and various networks containing large linear structures with nonlinear termi­ nations. Previously, all that was available to the designer was a full SPICE simulation or a quick but uncertain timing estimation. Moment matching, used in linear systems analysis as a method of model reduction, describes a method to extract a small set of dominant poles from a large network. The information is obtained from the Taylor series coefficients (moments) of that system.


Signal VLSI algorithms analog computer-aided design (CAD) development integrated circuit interconnect material microprocessor simulation transmission

Authors and affiliations

  • Eli Chiprout
    • 1
  • Michel S. Nakhla
    • 1
  1. 1.Carleton UniversityCanada

Bibliographic information

  • DOI
  • Copyright Information Kluwer Academic Publishers 1994
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-6363-7
  • Online ISBN 978-1-4615-3116-6
  • Series Print ISSN 0893-3405
  • Buy this book on publisher's site