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Long-term reliability of nanometer VLSI systems: modeling, analysis and optimization

This book provides readers with a detailed reference regarding two of the most important long-term reliability and aging effects on nanometer integrated systems, electromigrations (EM) for interconnect and biased temperature instability (BTI) for CMOS devices. The authors discuss in detail recent de...

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Detalles Bibliográficos
Autores principales: Tan, Sheldon, Tahoori, Mehdi, Kim, Taeyoung, Wang, Shengcheng, Sun, Zeyu, Kiamehr, Saman
Lenguaje:eng
Publicado: Springer 2019
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-26172-6
http://cds.cern.ch/record/2691360
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author Tan, Sheldon
Tahoori, Mehdi
Kim, Taeyoung
Wang, Shengcheng
Sun, Zeyu
Kiamehr, Saman
author_facet Tan, Sheldon
Tahoori, Mehdi
Kim, Taeyoung
Wang, Shengcheng
Sun, Zeyu
Kiamehr, Saman
author_sort Tan, Sheldon
collection CERN
description This book provides readers with a detailed reference regarding two of the most important long-term reliability and aging effects on nanometer integrated systems, electromigrations (EM) for interconnect and biased temperature instability (BTI) for CMOS devices. The authors discuss in detail recent developments in the modeling, analysis and optimization of the reliability effects from EM and BTI induced failures at the circuit, architecture and system levels of abstraction. Readers will benefit from a focus on topics such as recently developed, physics-based EM modeling, EM modeling for multi-segment wires, new EM-aware power grid analysis, and system level EM-induced reliability optimization and management techniques. Reviews classic Electromigration (EM) models, as well as existing EM failure models and discusses the limitations of those models; Introduces a dynamic EM model to address transient stress evolution, in which wires are stressed under time-varying current flows, and the EM recovery effects. Also includes new, parameterized equivalent DC current based EM models to address the recovery and transient effects; Presents a cross-layer approach to transistor aging modeling, analysis and mitigation, spanning multiple abstraction levels; Equips readers for EM-induced dynamic reliability management and energy or lifetime optimization techniques, for many-core dark silicon microprocessors, embedded systems, lower power many-core processors and datacenters.
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institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
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spelling cern-26913602021-04-21T18:19:26Zdoi:10.1007/978-3-030-26172-6http://cds.cern.ch/record/2691360engTan, SheldonTahoori, MehdiKim, TaeyoungWang, ShengchengSun, ZeyuKiamehr, SamanLong-term reliability of nanometer VLSI systems: modeling, analysis and optimizationEngineeringThis book provides readers with a detailed reference regarding two of the most important long-term reliability and aging effects on nanometer integrated systems, electromigrations (EM) for interconnect and biased temperature instability (BTI) for CMOS devices. The authors discuss in detail recent developments in the modeling, analysis and optimization of the reliability effects from EM and BTI induced failures at the circuit, architecture and system levels of abstraction. Readers will benefit from a focus on topics such as recently developed, physics-based EM modeling, EM modeling for multi-segment wires, new EM-aware power grid analysis, and system level EM-induced reliability optimization and management techniques. Reviews classic Electromigration (EM) models, as well as existing EM failure models and discusses the limitations of those models; Introduces a dynamic EM model to address transient stress evolution, in which wires are stressed under time-varying current flows, and the EM recovery effects. Also includes new, parameterized equivalent DC current based EM models to address the recovery and transient effects; Presents a cross-layer approach to transistor aging modeling, analysis and mitigation, spanning multiple abstraction levels; Equips readers for EM-induced dynamic reliability management and energy or lifetime optimization techniques, for many-core dark silicon microprocessors, embedded systems, lower power many-core processors and datacenters.Springeroai:cds.cern.ch:26913602019
spellingShingle Engineering
Tan, Sheldon
Tahoori, Mehdi
Kim, Taeyoung
Wang, Shengcheng
Sun, Zeyu
Kiamehr, Saman
Long-term reliability of nanometer VLSI systems: modeling, analysis and optimization
title Long-term reliability of nanometer VLSI systems: modeling, analysis and optimization
title_full Long-term reliability of nanometer VLSI systems: modeling, analysis and optimization
title_fullStr Long-term reliability of nanometer VLSI systems: modeling, analysis and optimization
title_full_unstemmed Long-term reliability of nanometer VLSI systems: modeling, analysis and optimization
title_short Long-term reliability of nanometer VLSI systems: modeling, analysis and optimization
title_sort long-term reliability of nanometer vlsi systems: modeling, analysis and optimization
topic Engineering
url https://dx.doi.org/10.1007/978-3-030-26172-6
http://cds.cern.ch/record/2691360
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AT tahoorimehdi longtermreliabilityofnanometervlsisystemsmodelinganalysisandoptimization
AT kimtaeyoung longtermreliabilityofnanometervlsisystemsmodelinganalysisandoptimization
AT wangshengcheng longtermreliabilityofnanometervlsisystemsmodelinganalysisandoptimization
AT sunzeyu longtermreliabilityofnanometervlsisystemsmodelinganalysisandoptimization
AT kiamehrsaman longtermreliabilityofnanometervlsisystemsmodelinganalysisandoptimization