Memristor-Based Nanoelectronic Computing Circuits and Architectures
Vourkas, Ioannis
Memristor-Based Nanoelectronic Computing Circuits and Architectures by Ioannis Vourkas, Georgios Ch Sirakoulis - 1st ed. - 1 recurso en línea (XXV, 241 p.) 117 ilustraciones, 100 ilustraciones en color - Emergence, Complexity and Computation 19 2194-7287 . - Emergence, Complexity and Computation 19 .
Memristor Fundamentals -- Memristor Modeling -- Dynamic Response of Multiple Interconnected Memristors -- Memristor-based Logic Circuits -- Memristive Crossbar-based Nonvolatile Memory -- High-radix Arithmetic-Logic Unit (ALU) Based on Memristors -- Networks of Memristors and Memristive Components -- Memristive Computing for NP-Hard AI Problems.
This book considers the design and development of nanoelectronic computing circuits, systems and architectures focusing particularly on memristors, which represent one of todays 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.
9783319226477
10.1007/978-3-319-22647-7 doi
Microelectrónica
Circuitos electrónicos
Complejidad computacional
TK7874.84 / .V68 2016 EB
620
Memristor-Based Nanoelectronic Computing Circuits and Architectures by Ioannis Vourkas, Georgios Ch Sirakoulis - 1st ed. - 1 recurso en línea (XXV, 241 p.) 117 ilustraciones, 100 ilustraciones en color - Emergence, Complexity and Computation 19 2194-7287 . - Emergence, Complexity and Computation 19 .
Memristor Fundamentals -- Memristor Modeling -- Dynamic Response of Multiple Interconnected Memristors -- Memristor-based Logic Circuits -- Memristive Crossbar-based Nonvolatile Memory -- High-radix Arithmetic-Logic Unit (ALU) Based on Memristors -- Networks of Memristors and Memristive Components -- Memristive Computing for NP-Hard AI Problems.
This book considers the design and development of nanoelectronic computing circuits, systems and architectures focusing particularly on memristors, which represent one of todays 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.
9783319226477
10.1007/978-3-319-22647-7 doi
Microelectrónica
Circuitos electrónicos
Complejidad computacional
TK7874.84 / .V68 2016 EB
620