Name: static crosstalk-noise analysis (en Inglés)
Price: 146.21 EUR
Availability: InStock
Author: pinhong chen,kirkpatrick,keutzer
ISBN: 9781402080913

portada static crosstalk-noise analysis (en Inglés)

Formato

Libro Físico

Editorial

springer publishing map

Autor

pinhong chen,kirkpatrick,keutzer

Idioma

Inglés

N° páginas

113

ISBN

1402080913

ISBN13

9781402080913

Categorías

Cam: manufactura asistida por ordenador
Diseño asistido por ordenador (cad)

static crosstalk-noise analysis (en Inglés)

Pinhong Chen,Kirkpatrick,Keutzer (Autor) · springer publishing map · Libro Físico

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Origen: Estados Unidos (Costos de importación incluídos en el precio)

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Reseña del libro "static crosstalk-noise analysis (en Inglés)"

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.