This book, Mixed-signal Methodology Guide provides a broad overview of mixed-signal design, verification and implementation methodologies...
This book, the Mixed-signal Methodology Guide: Advanced Methodology for AMS IP and SoC Design, Verification, and Implementation provides a broad overview of the design, verification and implementation methodologies required for today’s mixed-signal designs. The book covers mixed-signal design trends and challenges, abstraction of analog using behavioral models, assertion-based metric-driven verification methodology applied on analog and mixed-signal and verification of low power intent in mixed-signal design. It also describes methodologies for physical implementation in the context of concurrent mixed-signal design and for handling advanced node physical effects. The book contains many practical examples of models and techniques. The authors believe it should serve as a reference to many analog, digital and mixed-signal designers, verification, physical implementation engineers and managers in their pursuit of information for a better methodology required to address the challenges of modern mixed-signal design.
Preface available for download
- Mixed-Signal Design Trends and Challenges
Overview of Mixed-Signal Design Methodologies
AMS Behavioral Modeling – the chapter being provided
Mixed-Signal Verification Methodology
A Practical Methodology for Verifying RF Designs
Event-Driven Time-Domain Behavioral Modeling of Phase-Locked Loops
Verifying Digitally-Assisted Analog Designs
Mixed Signal Physical Implementation Methodology
Electrically-Aware Design Methodologies for Advanced Process Nodes
IC Package Co-Design for Mixed Signal System
Data Management for Mixed-Signal Designs – also available
The book is available here
Chapter 11 was written by Cliosoft and looks at today’s mixed-signal design environment and outlines traditional team design techniques and pitfalls as well as the general requirements for a data management system. It explains how to manage projects with a data management system, how such a system impacts collaboration across globally distributed design centers, and how team design can leverage a data management system for more efficient workflow, to manage engineering change orders, to track releases and variants, and to more effectively reuse IP and process design kits (PDKs) across projects. Examples of rules, roles, access and permissions flesh out methodologies for deployment productivity gains. You can get a copy of that chapter from here. http://www.cliosoft.com/msmguide/
An interview with Ron Vogelsong, the author of chapter 3, was provided in the first part of the book excerpt and can be found here.
Chapter 3 AMS Behavioral Modeling
Types of Modeling
Basic Modeling Formats
Additional Model Coding Examples
Modeling Best Practices Considerations - New this week
The book is available here
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