Memristor-Based Nanoelectronic Computing Circuits and Architectures
β Scribed by Ioannis Vourkas, Georgios Ch. Sirakoulis (auth.)
- Publisher
- Springer International Publishing
- Year
- 2016
- Tongue
- English
- Leaves
- 263
- Series
- Emergence, Complexity and Computation 19
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book considers the design and development of nanoelectronic computing circuits, systems and architectures focusing particularly on memristors, which represent one of todayβs latest technology breakthroughs in nanoelectronics. The book studies, explores, and addresses the related challenges and proposes solutions for the smooth transition from conventional circuit technologies to emerging computing memristive nanotechnologies. Its content spans from fundamental device modeling to emerging storage system architectures and novel circuit design methodologies, targeting advanced non-conventional analog/digital massively parallel computational structures. Several new results on memristor modeling, memristive interconnections, logic circuit design, memory circuit architectures, computer arithmetic systems, simulation software tools, and applications of memristors in computing are presented. High-density memristive data storage combined with memristive circuit-design paradigms and computational tools applied to solve NP-hard artificial intelligence problems, as well as memristive arithmetic-logic units, certainly pave the way for a very promising memristive era in future electronic systems. Furthermore, these graph-based NP-hard problems are solved on memristive networks, and coupled with Cellular Automata (CA)-inspired computational schemes that enable computation within memory. All chapters are written in an accessible manner and are lavishly illustrated. The book constitutes an informative cornerstone for young scientists and a comprehensive reference to the experienced reader, hoping to stimulate further research on memristive devices, circuits, and systems.
β¦ Table of Contents
Front Matter....Pages i-xxv
Memristor Fundamentals....Pages 1-8
Memristor Modeling....Pages 9-28
Dynamic Response of Multiple Interconnected Memristors....Pages 29-59
Memristor-Based Logic Circuits....Pages 61-100
Memristive Crossbar-Based Nonvolatile Memory....Pages 101-147
High-Radix Arithmetic-Logic Unit (ALU) Based on Memristors....Pages 149-172
Networks of Memristors and Memristive Components....Pages 173-198
Memristive Computing for NP-Hard AI Problems....Pages 199-241
β¦ Subjects
Complexity; Circuits and Systems; Nanotechnology and Microengineering; Electronic Circuits and Devices
π SIMILAR VOLUMES
In 1971, Leon O. Chua presented the formulation of a memristor, which was postulated as the fourth circuit element in electrical circuit theory β one that could join the existing core group of elements: capacitor, resistor and inductor. For over thirty years, the memristor had held no significance i
<p>This book provides a comprehensive overview of current research on memristors, memcapacitors and, meminductors. In addition to an historical overview of the research in this area, coverage includes the theory behind memristive circuits, as well as memcapacitance, and meminductance. Details are sh
<p><p>This book features selected papers presented at Third International Conference on Nanoelectronics, Circuits and Communication Systems (NCCS 2017). Covering topics such as MEMS and nanoelectronics, wireless communications, optical communication, instrumentation, signal processing, Internet of T
<p>It is becoming increasingly clear that the two-dimensional layout of devices on computer chips hinders the development of high-performance computer systems. Three-dimensional structures will be needed to provide the performance required to implement computationally intensive tasks. 3-D Nanoelectr
It is becoming increasingly clear that the two-dimensional layout of devices on computer chips is starting to hinder the development of high-performance computer systems. Three-dimensional structures will be needed to provide the performance required to implement computationally intensive tasks. 3-D