A Knowledge Based Approach to VLSI CAD

Abstract

Artificial Intelligence (AI) techniques offer one possible avenue toward new CAD tools to handle the complexities of VLSI. This paper summarizes the experience of the Rutgers AI/VLSI group in exploring applications of AI to VLSI design over the past few years. In particular, it summarizes our experience in developing REDESIGN, a knowledge-based system for providing interactive aid in the functional redesign of digital circuits. Given a desired change to the function of a circuit, REDESIGN combines rule-based knowledge of design tactics with its ability to analyze signal propagation through circuits, in order to (1) help the user focus on an appropriate portion of the circuit to redesign, (2) suggest local redesign alternatives, and (3) determine side effects of possible redesigns. We also summarize our more recent research toward constructing a knowledge-based system for VLSI design and a system for chip debugging, both based on extending the techniques used by the REDESIGN system.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1983
Accession Number
ADA133692

Entities

People

  • Louis I. Steinberg
  • Tom M. Mitchell

Organizations

  • Rutgers University Department of Computer Science

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Causal Reasoning
  • Character Generators
  • Circuits
  • Computer Science
  • Computers
  • Debugging
  • Digital Circuits
  • Expert Systems
  • Generators
  • Information Systems
  • Knowledge Based Systems
  • Military Research
  • Networks
  • Reasoning
  • Side Effects
  • Standards

Fields of Study

  • Engineering

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Integrated Circuit Design and Technology.
  • Software Engineering.

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy