boolean matching for large libraries
Boolean matching tackles the problem whether a subcircuit of a boolean network can be substituted by a cell from a cell library. In previous approaches [7, 10, 8] each pair of a subcircuit and a cell is tested for NPN equivalence. This becomes very expensive if the cell library is large. In our approach the time complexity for matching a subcircuit against a library L is almost independent of the size of L . CPU time also remains small for matching a subcircuit against the huge set of functions obtained by bridging and fixing cell inputs; but the use of these functions in technology mapping is very profitable. Our method is based on a canonical representative for each NPN equivalence class. We show how this representative can be computed efficiently and how it can be used for matching a boolcan function against a set of library functions.
matching libraries network timing time complexity size functional use technology mapping method class reconstruction visibility emulation functional simulation