Memristor-Based Nanoelectronic Computing Circuits and Architectures by Ioannis Vourkas

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Summary

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.

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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.


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.