
Memristor-Based Nanoelectronic Computing Circuits and Architectures by Ioannis Vourkas
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 constitutesan informative cornerstone for young scientists and a comprehensive reference to the experienced reader, hoping to stimulate further research on memristive devices, circuits, and systems.-
Non-Uniform Cellular Automata
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Attractor Dimension Estimates for Dynamical Systems: Theory and Computation
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Automata and Complexity
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The Mathematical Artist
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Quantum Game Simulation
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Numerical Infinities and Infinitesimals in Optimization
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Guided Self-Organization: Inception
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Probabilistic Cellular Automata
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Irreducibility and Computational Equivalence
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Applications of Membrane Computing in Systems and Synthetic Biology
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Recent Advances in the Theory and Application of Fitness Landscapes
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Chaotic Systems with Multistability and Hidden Attractors
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Infobiotics
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The Evolution of Complexity
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ISCS 2013: Interdisciplinary Symposium on Complex Systems
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Reaction-Diffusion Automata: Phenomenology, Localisations, Computation
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A Metaheuristic Approach to Protein Structure Prediction
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Reversibility and Universality
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Intelligent Astrophysics
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Behaviourism in Studying Swarms: Logical Models of Sensing and Motoring
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Automata, Universality, Computation
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Shortest Path Solvers. From Software to Wetware
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Naming Game
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From Astrophysics to Unconventional Computation
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Self-organizing Coalitions for Managing Complexity
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Advances in Unconventional Computing
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Advances in Physarum Machines
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Emergent Computation
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Modern Trends in Controlled Stochastic Processes:
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From Pattern Formation to Material Computation
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Cellular Automata in Image Processing and Geometry
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Real-life Applications with Membrane Computing
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Inspired by Nature
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Methods and Applications of Algorithmic Complexity
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A Route to Chaos Using FPGAs
Andrew Adamatzky is Professor of Unconventional Computing and Director of the
Unconventional Computing Laboratory, Department of Computer Science, University
of the West of England, Bristol, United Kingdom. He does research in molecular computing,
reaction-diffusion computing, collision-based computing, cellular automata,
slime mould computing, massive parallel computation, applied mathematics, complexity,
nature-inspired optimisation, collective intelligence and robotics, bionics,
computational psychology, non-linear science, novel hardware, and future and emergent
computation. He authored seven books, including Reaction-Diffusion Computers
(Elsevier, 2005), Dynamics of Crowd-Minds (World Scientific, 2005), and Physarum
Machines (World Scientific, 2010), and edited 22 books in computing, including Collision
Based Computing (Springer, 2002), Game of Life Cellular Automata (Springer, 2010),
and Memristor Networks (Springer, 2014); he also produced a series of influential
artworks published in the atlas Silence of Slime Mould (Luniver Press, 2014). He is
founding editor-in-chief of the Journal of Cellular Automata (2005-) and the Journal
of Unconventional Computing (2005-) and editor-in-chief of the Journal of Parallel,
Emergent, Distributed Systems (2014-) and Parallel Processing Letters (2018-).
Selim G. Akl (Ph.D., McGill University, 1978) is a Professor at Queen's University
in the Queen's School of Computing, where he leads the Parallel and Unconventional
Computation Group. His research interests are primarily in the area of algorithm
design and analysis, in particular for problems in parallel computing and unconventional
computing. Dr. Akl is the author of Parallel Sorting Algorithms (Academic Press,
1985), The Design and Analysis of Parallel Algorithms (Prentice Hall, 1989), and
Parallel Computation: Models and Methods (Prentice Hall, 1997). He is co-author of
Parallel Computational Geometry (Prentice Hall, 1993), Adaptive Cryptographic Access
Control (Springer, 2010), and Applications of Quantum Cryptography (Lambert, 2016).
Georgios Ch. Sirakoulis is a Professor in Department of Electrical and Computer
Engineering at Democritus University of Thrace, Greece. His current research emphasis
is on complex electronic systems, future and emergent electronic devices, circuits,
models and architectures (memristors, quantum cellular automata, etc.), novel computing
devices and circuits, cellular automata, unconventional computing, high-performance
computing, cyber-physical and embedded systems, bioinspired computation and
bioengineering, FPGAs, modelling, and simulation. He co-authored two books, namely
Memristor-Based Nanoelectronic Computing Circuits and Architectures (Springer,
2016) and Artificial Intelligence and Applications (Krikos Publishing, 2010) and coedited
three books.
| SKU | Unavailable |
| ISBN 13 | 9783319373591 |
| ISBN 10 | 3319373595 |
| Title | Memristor-Based Nanoelectronic Computing Circuits and Architectures |
| Author | Ioannis Vourkas |
| Series | Emergence Complexity And Computation |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer International Publishing AG |
| Year published | 2016-08-23 |
| Number of pages | 241 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |


































