System Reduction for Nanoscale IC Design

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Mathematics in Industry 20

ISBN: 3319072358
ISBN 13: 9783319072357
Herausgeber: Peter Benner
Verlag: Springer Verlag GmbH
Umfang: xi, 197 S., 34 s/w Illustr., 39 farbige Illustr., 197 p. 73 illus., 39 illus. in color.
Erscheinungsdatum: 12.06.2017
Auflage: 1/2017
Produktform: Gebunden/Hardback
Einband: GEB

This book describes the computational challenges posed by the progression toward nanoscale electronic devices and increasingly short design cycles in the microelectronics industry, and proposes methods of model reduction which facilitate circuit and device simulation for specific tasks in the design cycle. The goal is to develop and compare methods for system reduction in the design of high dimensional nanoelectronic ICs, and to test these methods in the practice of semiconductor development. Six chapters describe the challenges for numerical simulation of nanoelectronic circuits and suggest model reduction methods for constituting equations. These include linear and nonlinear differential equations tailored to circuit equations and drift diffusion equations for semiconductor devices. The performance of these methods is illustrated with numerical experiments using real-world data. Readers will benefit from an up-to-date overview of the latest model reduction methods in computational nanoelectronics.

Artikelnummer: 6760230 Kategorie:

Beschreibung

This book describes the computational challenges posed by the progression toward nanoscale electronic devices and increasingly short design cycles in the microelectronics industry, and proposes methods of model reduction which facilitate circuit and device simulation for specific tasks in the design cycle.The goal is to develop and compare methods for system reduction in the design of high dimensional nanoelectronic ICs, and to test these methods in the practice of semiconductor development. Six chapters describe the challenges for numerical simulation of nanoelectronic circuits and suggest model reduction methods for constituting equations. These include linear and nonlinear differential equations tailored to circuit equations and drift diffusion equations for semiconductor devices. The performance of these methods is illustrated with numerical experiments using real-world data. Readers will benefit from an up-to-date overview of the latest model reduction methods in computational nanoelectronics.

Autorenporträt

InhaltsangabePreface.- 1. Introduction: P. Benner.- 2. Model Order Reduction of Integrated Circuits in Electrical Networks: M.Hinze et al.- 3. Element-Based Model Reduction in Circuit Simulation: A. Steinbrecher et al.- 4. Reduced Representation of Power Grid Models: P.Benner et al.- 5. Coupling of Numeric/Symbolic Reduction Methods for Generating Parametrized Models of Nanoelectronic Systems: O. Schmidt et al.- 6. Low-Rank Cholesky Factor Krylov Subspace Methods for Generalized Projected Lyapunov Equations: M. Bollhöfer et al.

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