Improved a priori interconnect predictions and technology extrapolation in the GTX system

Yu Cao, Chenming Hu, Xuejue Huang, Andrew B. Kahng, Igor L. Markov, Michael Oliver, Dirk Stroobandt, Dennis Sylvester

Research output: Contribution to journalArticlepeer-review

8 Scopus citations


A priori interconnect prediction and technology extrapolation are closely intertwined. Interconnect predictions are at the core of technology extrapolation models of achievable system power, area density, and speed. Technology extrapolation, in turn, informs a priori interconnect prediction via models of interconnect technology and interconnect optimizations. In this paper, we address the linkage between a priori interconnect prediction and technology extrapolation in two ways. First, we describe how rapid changes in technology, as well as rapid evolution of prediction methods, require a dynamic and flexible framework for technology extrapolation. We then develop a new tool, the GSRC technology extrapolation system (GTX), which allows capture of such knowledge and rapid development of new studies. Second, we identify several "nontraditional" facets of interconnect prediction and quantify their impact on key technology extrapolations. In particular, we explore the effects of interconnect design optimizations such as shield insertion, repeater sizing and repeater staggering, as well as modeling choices for RLC interconnects.

Original languageEnglish (US)
Pages (from-to)3-14
Number of pages12
JournalIEEE Transactions on Very Large Scale Integration (VLSI) Systems
Issue number1
StatePublished - Feb 2003
Externally publishedYes


  • A priori interconnect prediction
  • Crosstalk noise
  • Inductance
  • Interconnect delay
  • System performance models
  • Technology extrapolation
  • VLSI

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Electrical and Electronic Engineering


Dive into the research topics of 'Improved a priori interconnect predictions and technology extrapolation in the GTX system'. Together they form a unique fingerprint.

Cite this