000			03857nam a22005295i 4500
001			978-3-319-22647-7
003			DE-He213
005			20200421111846.0
007			cr nn 008mamaa
008			150826s2016 gw | s |||| 0|eng d
020			_a9783319226477 _9978-3-319-22647-7
024	7		_a10.1007/978-3-319-22647-7 _2doi
050		4	_aQA76.9.M35
072		7	_aGPFC _2bicssc
072		7	_aTEC000000 _2bisacsh
082	0	4	_a620 _223
100	1		_aVourkas, Ioannis. _eauthor.
245	1	0	_aMemristor-Based Nanoelectronic Computing Circuits and Architectures _h[electronic resource] / _cby Ioannis Vourkas, Georgios Ch. Sirakoulis.
250			_a1st ed. 2016.
264		1	_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2016.
300			_aXXV, 241 p. 117 illus., 100 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
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			_aThis 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.
650		0	_aEngineering.
650		0	_aElectronic circuits.
650		0	_aComplexity, Computational.
650		0	_aNanotechnology.
650	1	4	_aEngineering.
650	2	4	_aComplexity.
650	2	4	_aCircuits and Systems.
650	2	4	_aNanotechnology and Microengineering.
650	2	4	_aElectronic Circuits and Devices.
700	1		_aSirakoulis, Georgios Ch. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9783319226460
830		0	_aEmergence, Complexity and Computation, _x2194-7287 ; _v19
856	4	0	_uhttp://dx.doi.org/10.1007/978-3-319-22647-7
912			_aZDB-2-ENG
942			_cEBK
999			_c55838 _d55838