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1 - Introduction

Published online by Cambridge University Press:  19 January 2010

Sheldon Tan
Affiliation:
University of California, Riverside
Lei He
Affiliation:
University of California, Los Angeles
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Summary

The need for compact modeling of interconnects

As VLSI technology advances into the sub-100nm regime with increased operating frequency and decreased feature sizes, the nature of the VLSI design has changed significantly. One fundamental paradigm change is that parasitic interconnect effects dominate both the chip's performance and the design's complexity growth. As feature sizes become smaller, their electromagnetic couplings become more pronounced. As a result, their adverse impacts on circuit performances and powers will become more significant. Signal integrity, crosstalk, skin effects, substrate loss and digital and analog substrate couplings are now adding severe complications to design methodologies already stressed by increasing device counts. It was observed that today's high performance digital design essentially becomes analog circuit design [24] as there has been a need to observe a finer level of detail.

In addition to dominant deep submicron effects, the exponential increase of device counts causes a move in the opposite direction: we need to increase the increasing design abstraction levels to cope with the design capacity growth. It was widely believed that behavioral and compact modeling for the purpose of synthesis, optimization, and verification of the complicated system-on-a-chip are viable solutions to address these challenging design problems [66].

In this book, we focus on the compact modeling of on-chip interconnects and general linear time invariant systems (LTI) because interconnect parasitics, which are modeled as linear RLCM circuits, are the dominant factors for complexity growth.

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Publisher: Cambridge University Press
Print publication year: 2007

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  • Introduction
  • Sheldon Tan, University of California, Riverside, Lei He, University of California, Los Angeles
  • Book: Advanced Model Order Reduction Techniques in VLSI Design
  • Online publication: 19 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511541117.002
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  • Introduction
  • Sheldon Tan, University of California, Riverside, Lei He, University of California, Los Angeles
  • Book: Advanced Model Order Reduction Techniques in VLSI Design
  • Online publication: 19 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511541117.002
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Introduction
  • Sheldon Tan, University of California, Riverside, Lei He, University of California, Los Angeles
  • Book: Advanced Model Order Reduction Techniques in VLSI Design
  • Online publication: 19 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511541117.002
Available formats
×