This book covers state-of-the art techniques for high-level modeling and validation of complex hardware/software systems, including those with multicore architectures. Readers will learn to avoid time-consuming and error-prone validation from the comprehensive coverage of system-level validation, including high-level modeling of designs and faults, automated generation of directed tests, and efficient validation methodology using directed tests and assertions. The methodologies described in this book will help designers to improve the quality of their validation, performing as much validation...

This book covers state-of-the art techniques for high-level modeling and validation of complex hardware/software systems, including those with multicore architectures. Readers will learn to avoid time-consuming and error-prone validation from the comprehensive coverage of system-level validation, including high-level modeling of designs and faults, automated generation of directed tests, and efficient validation methodology using directed tests and assertions. The methodologies described in this book will help designers to improve the quality of their validation, performing as much validation...

An Introduction to the Machine Learning Empowered Intelligent Data Center NetworkingFundamentals of Machine Learning in Data Center Networks.This book reviews the common learning paradigms that are widely used in data centernetworks, and offers an introduction to data collection and data processing in data centers. Additionally, it proposes a multi-dimensional and multi-perspective solution quality assessment system called REBEL-3S. The book offers readers a solid foundation for conducting research in the field of AI-assisted data center networks.Comprehensive Survey of AI-assisted...