Concurrent resynthesis for network optimization

Abstract

An algorithm called C-RENO (Concurrent Resynthesis for Network Optimization) is presented for the optimization of multilevel combinational networks. In C-RENO, a given network is optimized for global optimality by resynthesizing a set of gates concurrently, using other gates in the network. C-RENO uses the generalized ratio-set algorithm, which enables one to resynthesize complex gates instead of only simple gates (e.g. NAND and NOR), exploring larger reconfiguration space. High-quality networks are derived by C-RENO even if no network don't-cares are used, and results which are not achievable by other methods have been obtained.<>