Computer Arithmetics for Nanoelectronics

1. Auflage 2017
ISBN: 978-1-138-11357-2
Verlag: Taylor & Francis Ltd

Buch, Englisch, 852 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 454 g

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.

Zielgruppe

Undergraduate

Autoren/Hrsg.

Shmerko, Vlad P.

Yanushkevich, Svetlana N.

Lyshevski, Sergey Edward

Fachgebiete

• Technische Wissenschaften Technik Allgemein Nanotechnologie
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Maschinenbau Mechatronik, Mikrosysteme (MEMS), Nanosysteme
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik Bauelemente, Schaltkreise
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik

Inhaltsverzeichnis

Introduction. Computational Nanostructures. Binary Arithmetic. Residue Arithmetic. Graph-Based Data Structures. Foundation of Boolean Data Structures. Boolean Data Structures. Fundamental Expansions. Arithmetic of the Polynomials. Optimization of Computational Structures. Multivalued Data Structures. Computational Networks. Sequential Logic Networks. Memory Devices for Binary Data. Spatial Computing Structures. Linear Cellular Arrays. Information and Data Structures. Design for Testability. Error Detection and Error Correction. Natural Computing. Index.

Über Autor(innen)

Vlad P. Shmerko, Svetlana N. Yanushkevich, Sergey Edward Lyshevski