000 05159nam a22005535i 4500
001 978-3-662-43722-3
003 DE-He213
005 20240730193432.0
007 cr nn 008mamaa
008 140531s2014 gw | s |||| 0|eng d
020 _a9783662437223
_9978-3-662-43722-3
024 7 _a10.1007/978-3-662-43722-3
_2doi
050 4 _aQA75.5-76.95
072 7 _aUYA
_2bicssc
072 7 _aCOM014000
_2bisacsh
072 7 _aUYA
_2thema
082 0 4 _a004.0151
_223
245 1 0 _aField-Coupled Nanocomputing
_h[electronic resource] :
_bParadigms, Progress, and Perspectives /
_cedited by Neal G. Anderson, Sanjukta Bhanja.
250 _a1st ed. 2014.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2014.
300 _aVIII, 393 p. 233 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v8280
505 0 _aField-Coupled Nanocomputing Paradigms -- The Development of Quantum-Dot Cellular Automata -- Nanomagnet Logic (NML -- Silicon Atomic Quantum Dots Enable Beyond-CMOS Electronics -- Circuits and Architectures -- A Clocking Strategy for Scalable and Fault-Tolerant QDCA Signal Distribution in Combinational and Sequential Devices -- Electric Clock for NanoMagnet Logic Circuits -- Majority Logic Synthesis Based on Nauty Algorithm -- Reversible Logic Based Design and Test of Field Coupled Nanocomputing Circuits -- STT-Based Non-Volatile Logic-in-Memory Framework -- Security Issues in QCA Circuit Design - Power Analysis Attacks -- NanoMagnet Logic: An Architectural Level Overview -- Modeling and Simulation -- Modelling Techniques for Simulating Large QCA Circuits -- ToPoliNano: NanoMagnet Logic Circuits Design and Simulation -- Understanding a Bisferrocene Molecular QCA Wire -- Irreversibility and Dissipation -- Reversible and Adiabatic Computing: Energy-Efficiency Maximized -- Modular Dissipation Analysis for QCA -- The Road Ahead: Opportunities and Challenges -- Opportunities, Challenges and the Road Ahead for Field-Coupled Nanocomputing: A Panel Discussion.
520 _aField-coupled nanocomputing (FCN) paradigms offer fundamentally new approaches to digital information processing that do not utilize transistors or require charge transport. Information transfer and computation are achieved in FCN via local field interactions between nanoscale building blocks that are organized in patterned arrays. Several FCN paradigms are currently under active investigation, including quantum-dot cellular automata (QCA), molecular quantum cellular automata (MQCA), nanomagnetic logic (NML), and atomic quantum cellular automata (AQCA). Each of these paradigms has a number of unique features that make it attractive as a candidate for post-CMOS nanocomputing, and each faces critical challenges to realization. This State-of-the-Art-Survey provides a snapshot of the current developments and novel research directions in the area of FCN. The book is divided into five sections. The first part, Field-Coupled Nanocomputing Paradigms, provides valuable background information and perspectives on the QDCA, MQCA, NML, and AQCA paradigms and their evolution. The second section, Circuits and Architectures, addresses a wide variety of current research on FCN clocking strategies, logic synthesis, circuit design and test, logic-in-memory, hardware security, and architecture. The third section, Modeling and Simulation, considers the theoretical modeling and computer simulation of large FCN circuits, as well as the use of simulations for gleaning physical insight into elementary FCN building blocks. The fourth section, Irreversibility and Dissipation, considers the dissipative consequences of irreversible information loss in FCN circuits, their quantification, and their connection to circuit structure. The fifth section, The Road Ahead: Opportunities and Challenges, includes an edited transcript of the panel discussion that concluded the 2013 Workshop on Field-Coupled Nanocomputing.
650 0 _aComputer science.
_99832
650 0 _aComputers.
_98172
650 0 _aComputer simulation.
_95106
650 1 4 _aTheory of Computation.
_9153586
650 2 4 _aComputer Hardware.
_933420
650 2 4 _aComputer Modelling.
_9153587
700 1 _aAnderson, Neal G.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9153588
700 1 _aBhanja, Sanjukta.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9153589
710 2 _aSpringerLink (Online service)
_9153590
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783662437216
776 0 8 _iPrinted edition:
_z9783662437230
830 0 _aTheoretical Computer Science and General Issues,
_x2512-2029 ;
_v8280
_9153591
856 4 0 _uhttps://doi.org/10.1007/978-3-662-43722-3
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cELN
999 _c94745
_d94745