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001 978-3-319-22647-7
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008 150826s2016 sz | s |||| 0|eng d
020 _a9783319226477
_9978-3-319-22647-7
024 7 _a10.1007/978-3-319-22647-7
_2doi
050 4 _aTA352-356
050 4 _aQC20.7.N6
072 7 _aTBJ
_2bicssc
072 7 _aGPFC
_2bicssc
072 7 _aTEC009000
_2bisacsh
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_2thema
072 7 _aGPFC
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082 0 4 _a515.39
_223
100 1 _aVourkas, Ioannis.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_954205
245 1 0 _aMemristor-Based Nanoelectronic Computing Circuits and Architectures
_h[electronic resource] :
_bForeword by Leon Chua /
_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,
_x2194-7295 ;
_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 _aDynamics.
_954206
650 0 _aNonlinear theories.
_93339
650 0 _aElectronic circuits.
_919581
650 0 _aMicrotechnology.
_928219
650 0 _aMicroelectromechanical systems.
_96063
650 1 4 _aApplied Dynamical Systems.
_932005
650 2 4 _aElectronic Circuits and Systems.
_954207
650 2 4 _aMicrosystems and MEMS.
_954208
700 1 _aSirakoulis, Georgios Ch.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_954209
710 2 _aSpringerLink (Online service)
_954210
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319226460
776 0 8 _iPrinted edition:
_z9783319226484
776 0 8 _iPrinted edition:
_z9783319373591
830 0 _aEmergence, Complexity and Computation,
_x2194-7295 ;
_v19
_954211
856 4 0 _uhttps://doi.org/10.1007/978-3-319-22647-7
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c79309
_d79309