E-raamat: Computer Arithmetics for Nanoelectronics

In a volume dedicated to the memory of Claude E. Shannon, whose master's thesis on "An Algebra for Theoretical Genetics" won him a Nobel Prize for the mathematical framework demonstrating that any logical statement could be implemented as a network of switches, Shmerko (electrical and computer engineering, U. of Calgary, Canada) utilizes this idea as the basis for some major nanosystem design tools. Taking an interdisciplinary approach to all stages of the design cycle, the authors introduce the theoretical basis and computational paradigms for nanocomputing structures based on congruency between data structure computational properties and the physical/biochemical properties of nano- and molecular technology. The prospect for natural computing based on nature-based computing paradigms is also discussed. Annotation ©2009 Book News, Inc., Portland, OR (booknews.com)

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.