DECODING EDA IN IC PHYSICAL DESIGN: EXPLORING DESIGN, FLOW ALGORITHMS, AND TOOLS

Authors

  • Srivatsan Nurani Subramanyam Synopsys Inc, USA. Author

Keywords:

Electronic Design Automation (EDA), Integrated Circuit (IC) Physical Desig, Machine Learning In Chip Design, 3D IC Technolog, Quantum Computing EDA

Abstract

This comprehensive article explores the critical role of Electronic Design Automation (EDA) in modern Integrated Circuit (IC) physical design. It examines the evolving landscape of semiconductor manufacturing, detailing the key stages of IC physical design, including floorplanning, placement, routing, and timing analysis. The article delves into the sophisticated flow algorithms that drive EDA tools, discussing wire length optimization, signal delay minimization, and power distribution balancing. It also highlights the features of leading EDA tools and their integration of advanced algorithms. Finally, the piece looks toward the future of EDA in IC design, exploring the potential impact of machine learning, 3D IC design, and quantum computing on the field.

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Published

2024-10-01