International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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AI-Driven RTL Generation from Schematic Images: Revolutionizing IC Design

Author(s) Srivatsan Nurani Subramanyam
Country United States
Abstract This article examines the transformative impact of AI-driven schematic image recognition on RTL
(Register Transfer Level) generation in IC (Integrated Circuit) design. As IC complexity continues to
grow exponentially, traditional manual design methods have become increasingly untenable. We analyze
how AI technologies, particularly Convolutional Neural Networks (CNNs) and Graph Neural Networks
(GNNs), are addressing these challenges and reshaping the design landscape. The article presents a
comprehensive view of the AI-driven RTL generation process, from image preprocessing to code
generation, and quantifies the benefits through performance metrics and case studies. Key improvements
include significant reductions in design time, enhanced accuracy, and increased design space exploration.
The article also explores emerging trends in AI-assisted IC design, such as human-AI collaboration and
constraint-aware generation. By discussing both current implementations and future possibilities, this
work provides insights into how AI is not only improving design efficiency but also enabling new
paradigms in semiconductor development. The potential challenges and opportunities presented by these
advancements, including handling complex custom components and integrating with existing EDA tools,
are also considered, offering a comprehensive view of the future of AI in IC design.
Keywords AI-Driven RTL Generation, Schematic Image Recognition, IC Design Automation, Deep Learning in EDA, Human-AI Collaboration in IC Design
Field Computer
Published In Volume 6, Issue 6, November-December 2024
Published On 2024-11-21
Cite This AI-Driven RTL Generation from Schematic Images: Revolutionizing IC Design - Srivatsan Nurani Subramanyam - IJFMR Volume 6, Issue 6, November-December 2024.
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E-ISSN 2582-2160
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