Algorithmic and Knowledge-based CAD for VLSI / Edition 1

Algorithmic and Knowledge-based CAD for VLSI / Edition 1

ISBN-10:
086341267X
ISBN-13:
9780863412677
Pub. Date:
06/30/1992
Publisher:
The Institution of Engineering and Technology
ISBN-10:
086341267X
ISBN-13:
9780863412677
Pub. Date:
06/30/1992
Publisher:
The Institution of Engineering and Technology
Algorithmic and Knowledge-based CAD for VLSI / Edition 1

Algorithmic and Knowledge-based CAD for VLSI / Edition 1

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Overview

The continuing growth in the size and complexity of VLSI devices requires a parallel development of well-designed, efficient CAD tools. The majority of commercially available tools are based on an algorithmic approach to the problem and there is a continuing research effort aimed at improving these. The sheer complexity of the problem has, however, led to an interest in examining the applicability of expert systems and other knowledge based techniques to certain problems in the area and a number of results are becoming available. The aim of this book is to sample the present state-of-the-art in CAD for VLSI and it covers both newly developed algorithms and applications of techniques from the artificial intelligence community. The editors believe it will prove of interest to all engineers concerned with the design and testing of integrated circuits and systems.


Product Details

ISBN-13: 9780863412677
Publisher: The Institution of Engineering and Technology
Publication date: 06/30/1992
Series: Materials, Circuits and Devices
Pages: 288
Product dimensions: 6.14(w) x 9.21(h) x (d)

About the Author

Gaynor Taylor is Professor of Systems Design and currently Head of the Department of Electronic Engineering at the Universityof Hull. She has been a member of the academic staff of the university since 1980 and is involved in teaching courses on CAD for VLSI and research into test pattern generation and design for testability for both digital and mixed analogue and digital devices. Prior to joining the university she spent a number of years at the GEC-Marconi Research Laboratories at Great Baddow where she was involved in the development of GAD tools for digital circuits and for passive filters. She received her BSc, MSc and PhD degrees from UMIST and is a Chartered Engineer and Fellow of the IEE.


Gordon Russell has been on the academic staff of the Department of Electrical and Electronic Engineering at the Universityof Newcastle upon Tyne since 1979, where he has been involved in teaching and research into CAD tools for VLSI circuit design and design for testability techniques. He has also been involved in a number of SERC and DTI funded research projects in these areas. Before joining Newcastle Universityhe spent five years at Edinburgh University, involved in a range of CAD activities, first in the Department of Computer Science, then in the Department of Electrical Engineering and finally in the Wolfson Microelectronics Institute. He is coauthor/coeditor of five books related to testing and other aspects of CAD for VLSI and has given a number of invited lectures at universities throughout Europe on the application of expert systems to test pattern generation and design for testability. He is a Chartered Engineer and a member of the IEE and IEEE. He received his BSc and PhD degrees from the Universityof Strathclyde.

Table of Contents

  • Chapter 1: Expert assistance in digital circuit design
  • Chapter 2: Use of a theorem prover for transformational synthesis
  • Chapter 3: An overview of high level synthesis technologies for digital ASICs
  • Chapter 4: Simulated annealing based synthesis of fast discrete cosine transform blocks
  • Chapter 5: Knowledge based expert systems in testing and design for testability - an overview
  • Chapter 6: Knowledge based test strategy planning
  • Chapter 7: HIT: a hierarchical integrated test methodology
  • Chapter 8: Use of fault augmented functions for automatic test pattern generation
  • Chapter 9: Macro-test: a VLSI testable-design technique
  • Chapter 10: An expert systems approach to analogue VLSI layout
  • Chapter 11: Guaranteeing optimality in a gridless router using AI techniques
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