A Design Methodology for Addressing Crosstalk in Integrated Circuits.

Abstract

This dissertation focuses on a design methodology for addressing capacitive crosstalk. Crosstalk is a severe problem in the field of VLSI design where aggressive scaling of interconnect pitch has led to increased capacitance between adjacent traces, causing non-linear interactions evidenced as timing violations and erroneous circuit activity. New process technologies will achieve tighter metallization, increased clock frequencies, smaller voltage swings and longer interconnect. Estimates show these trends will double the impact of crosstalk during the next decade. A physical design methodology that accounts for crosstalk with accurate and consistent estimates of wiring constraints throughout the design flow is presented. By maintaining a consistent view across the design flow, violations due to crosstalk become predictable, and therefore, avoidable. A case is made for estimating crosstalk using an empirical model, avoiding crosstalk using congestion-driven placement, and reducing crosstalk via a global-route embedder. Accurate models for crosstalk interactions are required to achieve timing convergence. A computationally efficient empirical model for crosstalk impact that captures noise and delay-changes on coupled conductors is presented. It permits a performance-driven approach that is superior to the popular method of minimizing

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA365137

Entities

People

  • Phiroze N. Parakh

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Advanced Electronics
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Algorithms
  • Circuit Analysis
  • Circuits
  • Computer Science
  • Computer-Aided Design
  • Computers
  • Electronics
  • First Order Circuits
  • Integrated Circuits
  • Linear Programming
  • Mathematical Programming
  • Networks
  • Optimization
  • Probability
  • Semiconductors
  • Topology
  • Very Large Scale Integration

Readers

  • Applied Combinatorial Optimization and Logic Circuit Design.
  • Computational Modeling and Simulation
  • Software Engineering.