
Computer Arithmetics for Nanoelectronics
CRC Press
1st Edition
Published on 23. February 2009
Book
Hardback
852 pages
978-1-4200-6621-0 (ISBN)
Description
Emphasizes the Basic Principles of Computational Arithmetic and Computational Structure DesignTaking 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 ImplementationThe 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.
Covers All Stages of the Design Cycle, from Task Formulation to Molecular-Based ImplementationThe 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.
More details
Language
English
Place of publication
Bosa Roca
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Undergraduate
Product notice
Paper over boards
Illustrations
440 s/w Abbildungen, 107 s/w Tabellen
107 Tables, black and white; 440 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 50 mm
Weight
1426 gr
ISBN-13
978-1-4200-6621-0 (9781420066210)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Vlad P. Shmerko | Svetlana N. Yanushkevich | Sergey Edward Lyshevski
Computer Arithmetics for Nanoelectronics
E-Book
10/2018
1st Edition
CRC Press
€106.99
Available for download

Vlad P. Shmerko | Svetlana N. Yanushkevich | Sergey Edward Lyshevski
Computer Arithmetics for Nanoelectronics
E-Book
10/2018
1st Edition
CRC Press
€107.99
Available for download

Vlad P. Shmerko | Svetlana N. Yanushkevich | Sergey Edward Lyshevski
Computer Arithmetics for Nanoelectronics
Book
06/2017
1st Edition
CRC Press
€120.32
Shipment within 10-20 days
Persons
Vlad P. Shmerko, Svetlana N. Yanushkevich, Sergey Edward Lyshevski
Author
University of Calgary, Alberta, Canada
University of Calgary, Alberta, Canada
Rochester Institute of Technology, New York, USA
Content
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.