Vourkas I., Sirakoulis G. Memristor-Based Nanoelectronic Computing Circuits and Architectures

New York: Springer, 2015. — 241 p.This book considers the design and development of nanoelectronic computing circuits, systems and architectures focusing particularly on memristors, which represent one of today’s 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.Memristor Fundamentals.Memristor Defined by a State-Dependent Ohm’s Law.
Fingerprints of Memristors.
Memristor Defined by a “Pinched” Hysteresis Loop.
The “Ideal” Memristor.Memristor Modeling.A Novel Threshold-Type Memristor Circuit Model.
Modeling Memristors in SPICE.
Model Verification.
Overview and Comparison.Dynamic Response of Multiple Interconnected Memristors.Study of Composite Memristive Structures.
Generalized Concept for the Construction of Composite Memristive Systems.
Application of Composite Memristive Systems in Computing Circuits.
Overview and Discussion.Memristor-Based Logic Circuits.Switching Dynamics of Threshold-Type Memristors and Memristive Compositions.
Popular Logic Design Concepts Based on Memristors.
CMOS-like Memristor-Based Logic Circuit Design.
A Memristive Logic Family for Parallel Processing of Applied Input Signals.Memristive Crossbar-Based Nonvolatile Memory.Overview of Redox-Based RAM Device Technology.
Memristive Memory Cell Operation Principles.
Sneak-Path Challenge in Memristive Crossbar-Based Memory.
XbarSim—An Educational Simulation Tool for Memristive Crossbar-Based Circuits.High-Radix Arithmetic-Logic Unit (ALU) Based on Memristors.Overall Layout of the Memristive Multi-level Memory System.
Enhanced Crossbar for Memristive ALU with Built-in Memory.
Simulation Results.
Overview and Discussion.Networks of Memristors and Memristive Components.Memristive Network-Based Computations.
Path Computing and Maze-Solving with Ariadne’s Memristive Thread.
Mapping Problems Defined in Directed Graphs.
Overview and Discussion.Memristive Computing for NP-Hard AI Problems.Basics of Cellular Automata and Suitable HW Structures for Their Implementation.
Application Mapping Methodology to Memristive CA-Based Circuits.
Solving NP-Hard Artificial Intelligence Problems.
Overview and Comparison.