Advanced Techniques For Assertion Based Verification In Hardware Designs Using Data Mining Algorithms
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Advanced Techniques for Assertion-Based Verification in Hardware Designs Using Data Mining Algorithms
Author: Mohammad Reza Heidari Iman
language: en
Publisher: Springer Nature
Release Date: 2025-08-02
This book introduces leading-edge techniques for verifying the complex electronic systems used in industries such as aerospace, automotive, and medical devices, and ensuring the safety and security of these systems. By focusing on advanced verification and security verification methods, the author addresses the critical need to detect and prevent potential bugs, errors, and vulnerabilities such as Hardware Trojans in embedded systems. With an emphasis on innovative approaches to assertion-based verification, this book provides valuable insights for engineers, researchers, and professionals dedicated to enhancing the functional verification, security, and trustworthiness of critical technological systems. The methods described in this book address key shortcomings in current automatic assertion miners used for assertion-based verification, such as long execution times, excessive and redundant assertion generation, and inconsistency among generated assertions. The author discusses several innovative methods, tools and techniques, such as ARTmine, IMMizer, and Dominance, which enhance functional verification, and facilitate the automatic generation, evaluation, and minimization of assertions. Additionally, novel techniques are introduced for security verification, including a security-based assertion miner for RISC-V processors and ADAssure for debugging and bug localization in autonomous driving control algorithms of autonomous vehicles.
Machine Learning in VLSI Computer-Aided Design
This book provides readers with an up-to-date account of the use of machine learning frameworks, methodologies, algorithms and techniques in the context of computer-aided design (CAD) for very-large-scale integrated circuits (VLSI). Coverage includes the various machine learning methods used in lithography, physical design, yield prediction, post-silicon performance analysis, reliability and failure analysis, power and thermal analysis, analog design, logic synthesis, verification, and neuromorphic design. Provides up-to-date information on machine learning in VLSI CAD for device modeling, layout verifications, yield prediction, post-silicon validation, and reliability; Discusses the use of machine learning techniques in the context of analog and digital synthesis; Demonstrates how to formulate VLSI CAD objectives as machine learning problems and provides a comprehensive treatment of their efficient solutions; Discusses the tradeoff between the cost of collecting data and prediction accuracy and provides a methodology for using prior data to reduce cost of data collection in the design, testing and validation of both analog and digital VLSI designs. From the Foreword As the semiconductor industry embraces the rising swell of cognitive systems and edge intelligence, this book could serve as a harbinger and example of the osmosis that will exist between our cognitive structures and methods, on the one hand, and the hardware architectures and technologies that will support them, on the other....As we transition from the computing era to the cognitive one, it behooves us to remember the success story of VLSI CAD and to earnestly seek the help of the invisible hand so that our future cognitive systems are used to design more powerful cognitive systems. This book is very much aligned with this on-going transition from computing to cognition, and it is with deep pleasure thatI recommend it to all those who are actively engaged in this exciting transformation. Dr. Ruchir Puri, IBM Fellow, IBM Watson CTO & Chief Architect, IBM T. J. Watson Research Center
Electronic Design Automation
This book provides broad and comprehensive coverage of the entire EDA flow. EDA/VLSI practitioners and researchers in need of fluency in an "adjacent" field will find this an invaluable reference to the basic EDA concepts, principles, data structures, algorithms, and architectures for the design, verification, and test of VLSI circuits. Anyone who needs to learn the concepts, principles, data structures, algorithms, and architectures of the EDA flow will benefit from this book. - Covers complete spectrum of the EDA flow, from ESL design modeling to logic/test synthesis, verification, physical design, and test - helps EDA newcomers to get "up-and-running" quickly - Includes comprehensive coverage of EDA concepts, principles, data structures, algorithms, and architectures - helps all readers improve their VLSI design competence - Contains latest advancements not yet available in other books, including Test compression, ESL design modeling, large-scale floorplanning, placement, routing, synthesis of clock and power/ground networks - helps readers to design/develop testable chips or products - Includes industry best-practices wherever appropriate in most chapters - helps readers avoid costly mistakes