Information-theoretic synthesis of nanocomputers

In this paper we approach and study different paradigms in the design and analysis of nanocomputers and their subsystems. In particular, we examine affordable high-performance architectures, research advanced organizations, and synthesize 3D topologies. In order to attain our objectives, an information-theoretic method is reported for nanocomputer synthesis and design. This approach allows us to design 3D multi-level networked topologies similar to complex 3D neuron bionetworks. It is demonstrated that the problems of information propagation, entropy analysis, and robust data correction in adaptive fault-tolerant nanocomputers can be resolved using the documented information, propagation and modeling approaches. This paper examines the integration of data processing and computing subsystems in nanocomputers. The design of high-performance nanocomputers is performed through evolutionary gate-level networking strategies. Using mathematical models which integrate nanocomputer states and parameters, analysis is performed. The reported methods are demonstrated through illustrative examples, and the effectiveness of the procedures proposed is demonstrated.