Robust Computing with Nano-scale Devices - Progresses and Challenges

Robust Nano-Computing focuses on various issues of robust nano-computing, defect-tolerance design for nano-technology at different design abstraction levels. It addresses both redundancy- and configuration-based methods as well as fault detecting techniques through the development of accurate computation models and tools. The contents present an insightful view of the ongoing researches on nano-electronic devices, circuits, architectures, and design methods, as well as provide promising directions for future research.

List of contents

Fault Tolerant Nanocomputing.- Transistor-Level Based Defect-Tolerance for Reliable Nanoelectronics.- Fault-Tolerant Design for Nanowire-Based Programmable Logic Arrays.- Built-In Self-Test and Defect Tolerance for Molecular Electronics-Based NanoFabrics.- The Prospect and Challenges of CNFET Based Circuits: A Physical Insight.- Computing with Nanowires: A Self Assembled Neuromorphic Architecture.- Computational Opportunities and CAD for Nanotechnologies.

Summary

Robust Nano-Computing focuses on various issues of robust nano-computing, defect-tolerance design for nano-technology at different design abstraction levels. It addresses both redundancy- and configuration-based methods as well as fault detecting techniques through the development of accurate computation models and tools. The contents present an insightful view of the ongoing researches on nano-electronic devices, circuits, architectures, and design methods, as well as provide promising directions for future research.

Product details

• Assisted by: Cha Huang (Editor), Chao Huang (Editor)
• Publisher: Springer Netherlands
• Languages: English
• Product format: Paperback / Softback
• Released: 11.05.2012
• EAN: 9789400731837
• ISBN: 978-94-0-073183-7
• No. of pages: 180
• Weight: 293 g
• Illustrations: VIII, 180 p.
• Series: Lecture Notes in Electrical Engineering; Lecture Notes in Electrical Engineering
• Subjects: Natural sciences, medicine, IT, technology > Technology > Electronics, electrical engineering, communications engineering; C, Artificial Intelligence, Microprocessors, engineering, Circuits and Systems, Nanotechnology, Electronic circuits, Electronic Circuits and Systems, Computer architecture & logic design, Processor Architectures