期刊全称 | Advanced BDD Optimization | 影响因子2023 | Rüdiger Ebendt,Görschwin Fey,Rolf Drechsler | 视频video | | 发行地址 | 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 impul | 图书封面 |  | 影响因子 | 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 | Pindex | Book 2005 |
The information of publication is updating
|
|