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| 020 | _a9783319226477 | ||
| 024 | 7 |
_a10.1007/978-3-319-22647-7 _2doi |
|
| 040 | _aES-MaUEC | ||
| 050 | 4 |
_aTK7874.84 _b.V68 2016 EB |
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| 082 | 0 | 4 | _a620 |
| 100 | 1 |
_aVourkas, Ioannis _0local _997372 _0Local |
|
| 245 | 1 | 0 |
_aMemristor-Based Nanoelectronic Computing Circuits and Architectures _cby Ioannis Vourkas, Georgios Ch Sirakoulis |
| 250 | _a1st ed. | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2016 |
|
| 300 |
_a1 recurso en línea (XXV, 241 p.) _b117 ilustraciones, 100 ilustraciones en color |
||
| 336 |
_aTexto (visual) _btxt _2rdacontent |
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| 337 |
_aelectrónico _bc _2rdamedia |
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| 338 |
_arecurso electrónico _bcr _2rdacarrier |
||
| 490 | 1 |
_aEmergence, Complexity and Computation _x2194-7287 _v19 |
|
| 505 | 0 | _aMemristor 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. | |
| 520 | 3 | _aThis book considers the design and development of nanoelectronic computing circuits, systems and architectures focusing particularly on memristors, which represent one of today{u2019}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. | |
| 710 | 2 |
_aSpringerLink (Online service) _0Local _9106996 |
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| 942 |
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_9138689 _aMicroelectrónica _0comprobar BNE19900963042 _2embne |
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_9139610 _aCircuitos electrónicos _0comprobar BNE19900974538 _2embne |
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| 650 | 7 |
_aComplejidad computacional _0comprobar BNE20051714665 _2embne _9165250 |
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_aSirakoulis, Georgios Ch. _0nb2012028796 _948612 |
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_aEmergence, Complexity and Computation _x2194-7287 _v19 _9134118 |
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| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://link.springer.com/book/10.1007/978-3-319-22647-7 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
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