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Computer architecture and organization.
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ISBN: 0070273669 Year: 1988 Publisher: New York (N.Y.) : McGraw-Hill,

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Book
Computer architecture and organization
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Year: 1988 Publisher: New York (etc.) : McGraw-Hill,

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Book
Computer architecture and organization
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Year: 1978 Publisher: Tokyo MacGraw-Hill Kogakusha

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Digital system design and microprocessors.
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ISBN: 0070273677 Year: 1984 Publisher: New York (N.Y.) McGraw-Hill

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Book
Network marketing for dummies
Authors: ---
ISBN: 1118069382 Year: 2006 Publisher: Hoboken, New Jersey : Wiley Publishing, Inc.,

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Layout minimization of CMOS cells
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ISBN: 0792391829 Year: 1992 Volume: SECS 160 Publisher: Boston : Kluwer Academic Publishers,


Book
Quantum circuit simulation
Authors: --- ---
ISBN: 9400791259 9048130646 9786612459405 1282459406 9048130654 Year: 2009 Publisher: Dordrecht : Springer Science,

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Recent progress in atomic physics, semiconductors, and optical technologies lead to the need to control matter at an unprecedented scale. However, atoms, electrons and photons do not obey laws of classical physics and instead are governed by quantum mechanics. The formalism of quantum circuits promises to transform engineering disciplines the way digital circuits transformed computing, communications, control and measurement. A quantum circuit simulator implemented in software acts as a replacement of an actual quantum system and seeks to calculate the output from the inputs. This is a very difficult task, but researchers have achieved significant progress in many important special cases. This self-contained book discusses both theoretical and practical aspects of simulating quantum circuits on conventional computers. Engineers can sanity-check and evaluate their designs through simulation before building hardware. Computer scientists can use simulation to compare quantum algorithms to conventional ones. Quantum Circuit Simulation covers the fundamentals of linear algebra and introduces basic concepts of quantum physics needed to understand quantum circuits and algorithms. It requires only basic familiarity with algebra, graph algorithms and computer engineering. After introducing necessary background, the authors describe key simulation techniques that have so far been scattered throughout the research literature in physics, computer science, and computer engineering. Quantum Circuit Simulation also illustrates the development of software for quantum simulation by example of the QuIDDPro package, which is freely available and can be used by students of quantum information as a "quantum calculator.".

Keywords

Algebras, Linear. --- Quantum theory. --- Algebras, Linear --- Quantum theory --- Algebra --- Electrical Engineering --- Electrical & Computer Engineering --- Mathematics --- Physical Sciences & Mathematics --- Engineering & Applied Sciences --- Quantum computers. --- Integrated circuits --- Mathematical models. --- Chips (Electronics) --- Circuits, Integrated --- Computer chips --- Microchips --- Engineering. --- Algorithms. --- Computer simulation. --- Applied mathematics. --- Engineering mathematics. --- Quantum physics. --- Spintronics. --- Electronic circuits. --- Circuits and Systems. --- Applications of Mathematics. --- Quantum Physics. --- Quantum Information Technology, Spintronics. --- Simulation and Modeling. --- Algorithm Analysis and Problem Complexity. --- Computers --- Electronic circuits --- Microelectronics --- Systems engineering. --- Mathematics. --- Computer software. --- Quantum dynamics --- Quantum mechanics --- Quantum physics --- Physics --- Mechanics --- Thermodynamics --- Math --- Science --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Software, Computer --- Computer systems --- Computer modeling --- Computer models --- Modeling, Computer --- Models, Computer --- Simulation, Computer --- Electromechanical analogies --- Mathematical models --- Simulation methods --- Model-integrated computing --- Design and construction --- Algorism --- Arithmetic --- Fluxtronics --- Magnetoelectronics --- Spin electronics --- Spinelectronics --- Nanotechnology --- Engineering analysis --- Mathematical analysis --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics --- Foundations


Book
Design, analysis and test of logic circuits under uncertainty
Authors: --- ---
ISSN: 18761100 ISBN: 9048196434 9048196442 1283640775 9400797982 Year: 2013 Volume: v. 115 Publisher: New York : Springer,

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Integrated circuits (ICs) increasingly exhibit uncertain characteristics due to soft errors, inherently probabilistic devices, and manufacturing variability. As device technologies scale, these effects can be detrimental to the reliability of logic circuits.  To improve future semiconductor designs, this book describes methods for analyzing, designing, and testing circuits subject to probabilistic effects. The authors first develop techniques to model inherently probabilistic methods in logic circuits and to test circuits for determining their reliability after they are manufactured. Then, they study error-masking mechanisms intrinsic to digital circuits and show how to leverage them to design more reliable circuits.  The book describes techniques for:   • Modeling and reasoning about probabilistic behavior in logic circuits, including a matrix-based reliability-analysis framework;   • Accurate analysis of soft-error rate (SER) based on functional-simulation, sufficiently scalable for use in gate-level optimizations;   • Logic synthesis for greater resilience against soft errors, which improves reliability using moderate overhead in area and performance;   • Test-generation and test-compaction methods aimed at probabilistic faults in logic circuits that facilitate accurate and efficient post-manufacture measurement of soft-error susceptibility.

Keywords

Engineering. --- Logic circuits -- Design. --- Logic circuits -- Testing. --- Uncertainty (Information theory). --- Logic circuits --- Uncertainty (Information theory) --- Electrical & Computer Engineering --- Engineering & Applied Sciences --- Electrical Engineering --- Design --- Testing --- Logic circuits. --- Measure of uncertainty (Information theory) --- Shannon's measure of uncertainty --- System uncertainty --- Circuits, Logic --- Systems engineering. --- Computer science. --- Computer hardware. --- Operating systems (Computers). --- Logic design. --- Algebra --- Circuits and Systems. --- Arithmetic and Logic Structures. --- Computer Hardware. --- Performance and Reliability. --- Logic Design. --- Symbolic and Algebraic Manipulation. --- Data processing. --- Design, Logic --- Design of logic systems --- Digital electronics --- Electronic circuit design --- Machine theory --- Switching theory --- Computer operating systems --- Computers --- Disk operating systems --- Systems software --- Informatics --- Science --- Engineering systems --- System engineering --- Engineering --- Industrial engineering --- System analysis --- Operating systems --- Design and construction --- Information measurement --- Probabilities --- Questions and answers --- Electronic circuits --- Interface circuits --- Switching circuits --- Circuits --- Electronic circuits. --- Arithmetic and logic units, Computer. --- Computer software—Reusability. --- Computer science—Mathematics. --- Arithmetic and logic units, Computer --- Computer arithmetic --- Electronic digital computers --- Electron-tube circuits --- Electric circuits --- Electron tubes --- Electronics


Digital
Quantum Circuit Simulation
Authors: --- ---
ISBN: 9789048130658 Year: 2009 Publisher: Dordrecht Springer Science+Business Media B.V


Digital
Design, Analysis and Test of Logic Circuits Under Uncertainty
Authors: --- ---
ISBN: 9789048196449 Year: 2013 Publisher: Dordrecht Springer Netherlands

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Abstract

Integrated circuits (ICs) increasingly exhibit uncertain characteristics due to soft errors, inherently probabilistic devices, and manufacturing variability. As device technologies scale, these effects can be detrimental to the reliability of logic circuits.  To improve future semiconductor designs, this book describes methods for analyzing, designing, and testing circuits subject to probabilistic effects. The authors first develop techniques to model inherently probabilistic methods in logic circuits and to test circuits for determining their reliability after they are manufactured. Then, they study error-masking mechanisms intrinsic to digital circuits and show how to leverage them to design more reliable circuits.  The book describes techniques for:   • Modeling and reasoning about probabilistic behavior in logic circuits, including a matrix-based reliability-analysis framework;   • Accurate analysis of soft-error rate (SER) based on functional-simulation, sufficiently scalable for use in gate-level optimizations;   • Logic synthesis for greater resilience against soft errors, which improves reliability using moderate overhead in area and performance;   • Test-generation and test-compaction methods aimed at probabilistic faults in logic circuits that facilitate accurate and efficient post-manufacture measurement of soft-error susceptibility.

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