Title
Maximal input reduction of sequential netlists via synergistic reparameterization and localization strategies
Abstract
Automatic formal verification techniques generally require exponential resources with respect to the number of primary inputs of a netlist. In this paper, we present several fully-automated techniques to enable maximal input reductions of sequential netlists. First, we present a novel min-cut based localization refinement scheme for yielding a safely overapproximated netlist with minimal input count. Second, we present a novel form of reparameterization: as a trace-equivalence preserving structural abstraction, which provably renders a netlist with input count at most a constant factor of register count. In contrast to prior research in reparameterization to offset input growth during symbolic simulation, we are the first to explore this technique as a structural transformation for sequential netlists, enabling its benefits to general verification flows. In particular, we detail the synergy between these input-reducing abstractions, and with other transformations such as retiming which – as with traditional localization approaches – risks substantially increasing input count as a byproduct of its register reductions. Experiments confirm that the complementary reduction strategy enabled by our techniques is necessary for iteratively reducing large problems while keeping both proof-fatal design size metrics – register count and input count – within reasonable limits, ultimately enabling an efficient automated solution.
Year
DOI
Venue
2005
10.1007/11560548_18
CHARME
Keywords
Field
DocType
maximal input reduction,input growth,minimal input count,synergistic reparameterization,register reduction,overapproximated netlist,sequential netlists,input count,automatic formal verification technique,primary input,register count,localization strategy
Reduction strategy,Discrete mathematics,Netlist,Symbolic simulation,Retiming,Computer science,Circuit design,Algorithm,Formal methods,Offset (computer science),Formal verification
Conference
Volume
ISSN
ISBN
3725
0302-9743
3-540-29105-9
Citations 
PageRank 
References 
16
0.78
22
Authors
2
Name
Order
Citations
PageRank
Jason Baumgartner131323.36
Hari Mony218613.30