Advanced Symbolic Analysis for VLSI Systems

Provides an overview of classical symbolic analysis methods and a comprehensive presentation on the modern BDD-based symbolic analysis techniques Describes detailed implementation strategies for BDD-based algorithms, including the principles of zero-suppression, variable ordering and canonical reduction Introduces the two successful BDD-based symbolic analysis algorithms, Determinant Decision Diagrams (DDD) and Graph-Pair Decision Diagrams (GPDD) Discusses statistical timing and crosstalk analysis methods based on symbolic moment computation Includes an application of the DDD algorithm to symbolic performance bound estimations of analog circuits subject to process variations Presents an application of the DDD algorithm to fast parallel Monte Carlo statistical analysis with an implementation on a popular GPU platform

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