This paper makes the idea of memory shadowing [5] applicable to symbolic ternary simulation. Memory shadowing, an extension of Burch and Dill's pipeline verification method [...
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...
On-chip supply networks are playing an increasingly important role for modern nanometer-scale designs. However, the ever growing sizes of power grids make the analysis problem ext...
Parametric representations used for symbolic simulation of circuits usually use BDDs. After a few steps of symbolic simulation, state set representation is converted from one para...
This paper explores the potential of acausal modelling tools for a simple, but challenging process engineering benchmark problem. Matlab/Simulink illustrates a traditional block d...