Random walks for circuit clustering

The authors introduce a fast, parallelizable approach to circuit clustering based on analysis of random walks in the netlist. The method yields good clustering solutions for classes of 'difficult' inputs in the literature as well as for industry benchmark circuits. The authors characterize their results using a new clustering metric which facilitates comparison with future work. Extensions to a number of other CAD applications are proposed.<<ETX>>