Singhee Amith (34 results)
Language: English
Published by Springer 2012
Series: Integrated Circuits and Systems, Book 24 of 34. Book 24 of 34 - Integrated Circuits and Systems
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Language: English
Published by Springer 2012
Series: Integrated Circuits and Systems, Book 24 of 34. Book 24 of 34 - Integrated Circuits and Systems
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Taschenbuch. Condition: Neu. Novel Algorithms for Fast Statistical Analysis of Scaled Circuits | Amith Singhee (u. a.) | Taschenbuch | Lecture Notes in Electrical Engineering | xv | Englisch | 2012 | Springer | EAN 9789400736870 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juerg…en[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Language: English
Published by Springer 2012
Series: Integrated Circuits and Systems, Book 24 of 34. Book 24 of 34 - Integrated Circuits and Systems
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - As VLSI technology moves to the nanometer scale for transistor feature sizes, the impact of manufacturing imperfections result in large variations in the circuit performance. Traditional CAD tools are not well-equipped to handle this scenario, sinc…e they do not model this statistical nature of the circuit parameters and performances, or if they do, the existing techniques tend to be over-simplified or intractably slow. Novel Algorithms for Fast Statistical Analysis of Scaled Circuits draws upon ideas for attacking parallel problems in other technical fields, such as computational finance, machine learning and actuarial risk, and synthesizes them with innovative attacks for the problem domain of integrated circuits. The result is a set of novel solutions to problems of efficient statistical analysis of circuits in the nanometer regime.
Language: English
Published by Springer 2012
Series: Integrated Circuits and Systems, Book 24 of 34. Book 24 of 34 - Integrated Circuits and Systems
- Softcover
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Published by Springer US 2012
Series: Integrated Circuits and Systems, Book 24 of 34. Book 24 of 34 - Integrated Circuits and Systems
- Softcover
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Taschenbuch. Condition: Neu. Extreme Statistics in Nanoscale Memory Design | Rob A. Rutenbar (u. a.) | Taschenbuch | x | Englisch | 2012 | Springer US | EAN 9781461426721 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by Springer US, Springer US 2012
Series: Integrated Circuits and Systems, Book 24 of 34. Book 24 of 34 - Integrated Circuits and Systems
- Softcover
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Knowledge exists: you only have to nd it VLSI design has come to an important in ection point with the appearance of large manufacturing variations as semiconductor technology has moved to 45 nm feature sizes and below. If we ignore the random vari…ations in the manufacturing process, simulation-based design essentially becomes useless, since its predictions will be far from the reality of manufactured ICs. On the other hand, using design margins based on some traditional notion of worst-case scenarios can force us to sacri ce too much in terms of power consumption or manufacturing cost, to the extent of making the design goals even infeasible. We absolutely need to explicitly account for the statistics of this random variability, to have design margins that are accurate so that we can nd the optimum balance between yield loss and design cost. This discontinuity in design processes has led many researchers to develop effective methods of statistical design, where the designer can simulate not just the behavior of the nominal design, but the expected statistics of the behavior in manufactured ICs. Memory circuits tend to be the hardest hit by the problem of these random variations because of their high replication count on any single chip, which demands a very high statistical quality from the product. Requirements of 5-6s (0.
Language: English
Published by Springer Us 2010
Series: Integrated Circuits and Systems, Book 24 of 34. Book 24 of 34 - Integrated Circuits and Systems
- Hardcover
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Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Knowledge exists: you only have to nd it VLSI design has come to an important in ection point with the appearance of large manufacturing variations as semiconductor technology has moved to 45 nm feature sizes and below. If we ignore the random variations…in the manufacturing process, simulation-based design essentially becomes useless, since its predictions will be far from the reality of manufactured ICs. On the other hand, using design margins based on some traditional notion of worst-case scenarios can force us to sacri ce too much in terms of power consumption or manufacturing cost, to the extent of making the design goals even infeasible. We absolutely need to explicitly account for the statistics of this random variability, to have design margins that are accurate so that we can nd the optimum balance between yield loss and design cost. This discontinuity in design processes has led many researchers to develop effective methods of statistical design, where the designer can simulate not just the behavior of the nominal design, but the expected statistics of the behavior in manufactured ICs. Memory circuits tend to be the hardest hit by the problem of these random variations because of their high replication count on any single chip, which demands a very high statistical quality from the product. Requirements of 5-6s (0.
Language: English
Published by Springer 2012
Series: Integrated Circuits and Systems, Book 24 of 34. Book 24 of 34 - Integrated Circuits and Systems
- Softcover
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Language: English
Published by Springer 2012
Series: Integrated Circuits and Systems, Book 24 of 34. Book 24 of 34 - Integrated Circuits and Systems
- Softcover
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents flexible and general techniques for statistical analysis that can be applied to wide variety of circuit applicationsApplies theory from a wide variety of scientific fields (machine le…arning, computational finance, number theory, actuarial.
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents flexible and general techniques for statistical analysis that can be applied to wide variety of circuit applicationsApplies theory from a wide variety of scientific fields (machine learning, computa…tional finance, number theory, actuarial.
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Condition: New. Print on Demand pp. 212 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Condition: New. PRINT ON DEMAND pp. 212.
Language: English
Published by Springer US Nov 2012 2012
Series: Integrated Circuits and Systems, Book 24 of 34. Book 24 of 34 - Integrated Circuits and Systems
- Softcover
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Knowledge exists: you only have to nd it VLSI design has come to an important in ection point with the appearance of large manufacturing variations as semiconductor technology has moved to 45 nm feature sizes and below. If we ignore… the random variations in the manufacturing process, simulation-based design essentially becomes useless, since its predictions will be far from the reality of manufactured ICs. On the other hand, using design margins based on some traditional notion of worst-case scenarios can force us to sacri ce too much in terms of power consumption or manufacturing cost, to the extent of making the design goals even infeasible. We absolutely need to explicitly account for the statistics of this random variability, to have design margins that are accurate so that we can nd the optimum balance between yield loss and design cost. This discontinuity in design processes has led many researchers to develop effective methods of statistical design, where the designer can simulate not just the behavior of the nominal design, but the expected statistics of the behavior in manufactured ICs. Memory circuits tend to be the hardest hit by the problem of these random variations because of their high replication count on any single chip, which demands a very high statistical quality from the product. Requirements of 5-6s (0. 256 pp. Englisch.
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -As VLSI technology moves to the nanometer scale for transistor feature sizes, the impact of manufacturing imperfections result in large variations in the circuit performance. Traditional CAD tools are not well-equipped to handle this sc…enario, since they do not model this statistical nature of the circuit parameters and performances, or if they do, the existing techniques tend to be over-simplified or intractably slow. Novel Algorithms for Fast Statistical Analysis of Scaled Circuits draws upon ideas for attacking parallel problems in other technical fields, such as computational finance, machine learning and actuarial risk, and synthesizes them with innovative attacks for the problem domain of integrated circuits. The result is a set of novel solutions to problems of efficient statistical analysis of circuits in the nanometer regime.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 212 pp. Englisch.
Language: English
Published by SPRINGER NATURE Sep 2010 2010
Series: Integrated Circuits and Systems, Book 24 of 34. Book 24 of 34 - Integrated Circuits and Systems
- Hardcover
- Print on Demand
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Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Knowledge exists: you only have to nd it VLSI design has come to an important in ection point with the appearance of large manufacturing variations as semiconductor technology has moved to 45 nm feature sizes and below. If we ignore the ra…ndom variations in the manufacturing process, simulation-based design essentially becomes useless, since its predictions will be far from the reality of manufactured ICs. On the other hand, using design margins based on some traditional notion of worst-case scenarios can force us to sacri ce too much in terms of power consumption or manufacturing cost, to the extent of making the design goals even infeasible. We absolutely need to explicitly account for the statistics of this random variability, to have design margins that are accurate so that we can nd the optimum balance between yield loss and design cost. This discontinuity in design processes has led many researchers to develop effective methods of statistical design, where the designer can simulate not just the behavior of the nominal design, but the expected statistics of the behavior in manufactured ICs. Memory circuits tend to be the hardest hit by the problem of these random variations because of their high replication count on any single chip, which demands a very high statistical quality from the product. Requirements of 5-6s (0. 246 pp. Englisch.
Language: English
Published by Springer US 2012
Series: Integrated Circuits and Systems, Book 24 of 34. Book 24 of 34 - Integrated Circuits and Systems
- Softcover
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes a treatment of memory design from the perspective of statistical analysisCovers relevant theoretical background from other fields: statistics, machine learning, optimization, reliabilityExplains the problem o…f estimating statistics of memory perfor.
Language: English
Published by Springer US 2010
Series: Integrated Circuits and Systems, Book 24 of 34. Book 24 of 34 - Integrated Circuits and Systems
- Hardcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Includes a treatment of memory design from the perspective of statistical analysisCovers relevant theoretical background from other fields: statistics, machine learning, optimization, reliabilityExplains the problem o…f estimating statistics of memory perfor.
