Chiplet-based architecture for next-generation vehicular systems
Avani Dave, Krunal Dave · Journal of Artificial Intelligence Machine Learning and Data Science · 2023
With technological advancements, semiconductors have become critical components for modern-day automotive systems.They are extensively used in various applications such as vehicular -safety, efficiency, connectivity, infotainment, and autonomous driving.The Automotive industry is experiencing a surge in demand for high-performance computing power and area-efficient systems.With physical, economic, technological, and design challenges, Moore's Law is reaching its practical limits.Also, supply chain issues during the COVID-19 pandemic have forced the automotive industry to search for alternative scalable design architecture such as chiplets, 3D stacking, and quantum computing.To this end, this work comprehensively surveys the scalable architecture for next-generation vehicular systems.It further analyzes and provides recommendations for chiplet-based architecture design for solving supply chain, area, power, and performance issues.It proposes chiplet-based vehicular system design by maximizing reuse, standardizing interfaces, and sharing resources.