Computer Arithmetics for Nanoelectronics

Taking an interdisciplinary approach to the design of the nanoscale generation of computer devices and systems, this text develops a consensus between computational properties provided by data structures and phenomenological properties of nano and molecular technology. It presents design concepts and sound high-performance paradigms for data/signal processing and computing in 3D. The authors extend classical computing paradigms toward 3D computing structures, examine the relationships between various data structures and their manipulation through design, and cover the fundamentals of the intermediate data structure. They also explore techniques for natural computing at nanoscale.

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Emphasizes the Basic Principles of Computational Arithmetic and Computational Structure Design
Taking an interdisciplinary approach to the nanoscale generation of computer devices and systems, Computer Arithmetics for Nanoelectronics develops a consensus between computational properties provided by data structures and phenomenological properties of nano and molecular technology.

Covers All Stages of the Design Cycle, from Task Formulation to Molecular-Based Implementation
The book introduces the theoretical base and properties of various data structures, along with techniques for their manipulation, optimization, and implementation. It also assigns the computational properties of logic design data structures to 3D structures, furnishes information-theoretical measures and design aspects, and discusses the testability problem. The last chapter presents a nanoscale prospect for natural computing based on assorted computing paradigms from nature.

Balanced Coverage of State-of-the-Art Concepts, Techniques, and Practices
Up-to-date, comprehensive, and pragmatic in its approach, this text provides a unified overview of the relationship between the fundamentals of digital system design, computer architectures, and micro- and nanoelectronics.