Design of wave-parallel computing architectures using orthogonal sequences

Wave-parallel computing (WPC) architectures are proposed to address interconnection problems in massively interconnected VLSI architectures. The fundamental concepts are multiplexing of several signals onto a single line, and their wave-parallel processing without decomposition. This paper discusses the realization of a Hopfield-type fully connected neural network as an example, and shows that the WPC-based network exhibits much lower topological complexity compared with the original network.