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Longterm Reliability Of Nanometer Vlsi Systems Modeling Analysis And Optimization 1st Ed 2019 Sheldon Tan

  • SKU: BELL-10798802
Longterm Reliability Of Nanometer Vlsi Systems Modeling Analysis And Optimization 1st Ed 2019 Sheldon Tan
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Longterm Reliability Of Nanometer Vlsi Systems Modeling Analysis And Optimization 1st Ed 2019 Sheldon Tan instant download after payment.

Publisher: Springer International Publishing
File Extension: PDF
File size: 20.75 MB
Author: Sheldon Tan, Mehdi Tahoori, Taeyoung Kim, Shengcheng Wang, Zeyu Sun, Saman Kiamehr
ISBN: 9783030261719, 9783030261726, 3030261719, 3030261727
Language: English
Year: 2019
Edition: 1st ed. 2019

Product desciption

Longterm Reliability Of Nanometer Vlsi Systems Modeling Analysis And Optimization 1st Ed 2019 Sheldon Tan by Sheldon Tan, Mehdi Tahoori, Taeyoung Kim, Shengcheng Wang, Zeyu Sun, Saman Kiamehr 9783030261719, 9783030261726, 3030261719, 3030261727 instant download after payment.

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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