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Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - As the feature size decreases in deep sub-micron designs, coupling capacitance becomes the dominant factor in total capacitance. The resulting crosstalk noise may be responsible for signal integrity issues and significant timing variation. Traditionally, static timing analysis tools have ignored cross coupling effects between wires altogether. Newer tools simply approximate the coupling capacitance by a 2X Miller factor in order to compute the worst case delay. The latter approach not only reduces delay calculation accuracy, but can also be shown to underestimate the delay in certain scenarios. This book describes accurate but conservative methods for computing delay variation due to coupling. Furthermore, most of these methods are computationally efficient enough to be employed in a static timing analysis tool for complex integrated digital circuits. To achieve accuracy, a more accurate computation of the Miller factor is derived. To achieve both computational efficiency and accuracy, a variety of mechanisms for pruning the search space are detailed, including: -Spatial pruning - reducing aggressors to those in physical proximity, -Electrical pruning - reducing aggressors by electrical strength, -Temporal pruning - reducing aggressors using timing windows, -Functional pruning - reducing aggressors by Boolean functional analysis.
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Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | As the feature size decreases in deep sub-micron designs, coupling capacitance becomes the dominant factor in total capacitance. The resulting crosstalk noise may be responsible for signal integrity issues and significant timing variation. Traditionally, static timing analysis tools have ignored cross coupling effects between wires altogether. Newer tools simply approximate the coupling capacitance by a 2X Miller factor in order to compute the worst case delay. The latter approach not only reduces delay calculation accuracy, but can also be shown to underestimate the delay in certain scenarios. This book describes accurate but conservative methods for computing delay variation due to coupling. Furthermore, most of these methods are computationally efficient enough to be employed in a static timing analysis tool for complex integrated digital circuits. To achieve accuracy, a more accurate computation of the Miller factor is derived. To achieve both computational efficiency and accuracy, a variety of mechanisms for pruning the search space are detailed, including: -Spatial pruning - reducing aggressors to those in physical proximity, -Electrical pruning - reducing aggressors by electrical strength, -Temporal pruning - reducing aggressors using timing windows, -Functional pruning - reducing aggressors by Boolean functional analysis.
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Buch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As the feature size decreases in deep sub-micron designs, coupling capacitance becomes the dominant factor in total capacitance. The resulting crosstalk noise may be responsible for signal integrity issues and significant timing variation. Traditionally, static timing analysis tools have ignored cross coupling effects between wires altogether. Newer tools simply approximate the coupling capacitance by a 2X Miller factor in order to compute the worst case delay. The latter approach not only reduces delay calculation accuracy, but can also be shown to underestimate the delay in certain scenarios. This book describes accurate but conservative methods for computing delay variation due to coupling. Furthermore, most of these methods are computationally efficient enough to be employed in a static timing analysis tool for complex integrated digital circuits. To achieve accuracy, a more accurate computation of the Miller factor is derived. To achieve both computational efficiency and accuracy, a variety of mechanisms for pruning the search space are detailed, including: -Spatial pruning - reducing aggressors to those in physical proximity, -Electrical pruning - reducing aggressors by electrical strength, -Temporal pruning - reducing aggressors using timing windows, -Functional pruning - reducing aggressors by Boolean functional analysis. 132 pp. Englisch.
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In den WarenkorbGebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. As the feature size decreases in deep sub-micron designs, coupling capacitance becomes the dominant factor in total capacitance. The resulting crosstalk noise may be responsible for signal integrity issues and significant timing variation. Traditionally, st.
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Buch. Zustand: Neu. Static Crosstalk-Noise Analysis | For Deep Sub-Micron Digital Designs | Pinhong Chen (u. a.) | Buch | xviii | Englisch | 2004 | Copernicus | EAN 9781402080913 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand.
Sprache: Englisch
Verlag: Springer US, Copernicus Jun 2004, 2004
ISBN 10: 1402080913 ISBN 13: 9781402080913
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Buch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -As the feature size decreases in deep sub-micron designs, coupling capacitance becomes the dominant factor in total capacitance. The resulting crosstalk noise may be responsible for signal integrity issues and significant timing variation. Traditionally, static timing analysis tools have ignored cross coupling effects between wires altogether. Newer tools simply approximate the coupling capacitance by a 2X Miller factor in order to compute the worst case delay. The latter approach not only reduces delay calculation accuracy, but can also be shown to underestimate the delay in certain scenarios.This book describes accurate but conservative methods for computing delay variation due to coupling. Furthermore, most of these methods are computationally efficient enough to be employed in a static timing analysis tool for complex integrated digital circuits. To achieve accuracy, a more accurate computation of the Miller factor is derived. To achieve both computational efficiency and accuracy, a variety of mechanisms for pruning the search space are detailed, including:Spatial pruning - reducing aggressors to those in physical proximityElectrical pruning - reducing aggressors by electrical strengthTemporal pruning - reducing aggressors using timing windowsFunctional pruning - reducing aggressors by Boolean functional analysis.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch.