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Can I read Analog Integrated Circuit Design Automation : Placement, Routing and Parasitic Extraction Techniques on EtoBox?

Analog Integrated Circuit Design Automation : Placement, Routing and Parasitic Extraction Techniques by Martins, Ricardo, Lourenço, Nuno, Horta, Nuno is a nonfiction available to read on EtoBox.

What is Analog Integrated Circuit Design Automation : Placement, Routing and Parasitic Extraction Techniques about?

This book introduces readers to a variety of tools for analog layout design automation. After discussing the placement and routing problem in electronic design automation (EDA), the authors overview a variety of automatic layout generation tools, as well as the most recent advances in analog layout-aware circuit sizing. The discussion includes different methods for automatic placement (a template-based Placer and an optimization-based Placer), a fully-automatic Router and an empirical-based Parasitic Extractor. The concepts and algorithms of all the modules are thoroughly described, enabling readers to reproduce the methodologies, improve the quality of their designs, or use them as starting point for a new tool. All the methods described are applied to practical examples for a 130nm design process, as well as placement and routing benchmark sets. Introduces readers to hierarchical combination of Pareto fronts of placements; Presents electromigration-aware routing with multilayer multiport terminal structures; Includes evolutionary multi-objective multi-constraint detailed Router; Enables parasitic extraction performed over a semi-complete layout

Who reads Analog Integrated Circuit Design Automation : Placement, Routing and Parasitic Extraction Techniques?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
Martins, Ricardo, Lourenço, Nuno, Horta, Nuno
Publisher
Springer International Publishing : Imprint : Springer
Published
2017
Language
EN
ISBN
9783319340609
Category
nonfiction
Subjects
Computer Science, Engineering, Stem

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