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Advanced BDD Optimization

  • Book
  • © 2005

Overview

  • BDD and SAT are major concepts in VLSI CAD
  • New objective functions for design space exploration require new algorithms for BDD optimization
  • Latest trend: fusion of the concepts BDD and SAT
  • Major impulses come from Artificial Intelligence (AI)
  • Unifying view, transfers the latest theoretical insights into practical applications
  • Includes supplementary material: sn.pub/extras

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Table of contents (7 chapters)

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About this book

VLSI CADhas greatly bene?ted from the use of reduced ordered Binary Decision Diagrams (BDDs) and the clausal representation as a problem of Boolean Satis?ability (SAT), e.g. in logic synthesis, ver- cation or design-for-testability. In recent practical applications, BDDs are optimized with respect to new objective functions for design space exploration. The latest trends show a growing number of proposals to fuse the concepts of BDD and SAT. This book gives a modern presentation of the established as well as of recent concepts. Latest results in BDD optimization are given, c- ering di?erent aspects of paths in BDDs and the use of e?cient lower bounds during optimization. The presented algorithms include Branch ? and Bound and the generic A -algorithm as e?cient techniques to - plore large search spaces. ? The A -algorithm originates from Arti?cial Intelligence (AI), and the EDA community has been unaware of this concept for a long time. Re- ? cently, the A -algorithm has been introduced as a new paradigm to explore design spaces in VLSI CAD. Besides AI search techniques, the book also discusses the relation to another ?eld of activity bordered to VLSI CAD and BDD optimization: the clausal representation as a SAT problem.

Authors and Affiliations

  • University of Bremen, Germany

    Rüdiger Ebendt, Görschwin Fey, Rolf Drechsler

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