Call for Special Commentaries on
The integration of advanced AI models, such as LLM, into integrated circuit (IC) design, electronics design automation (EDA), and system integration represents a significant leap forward in these fields. We invite submissions for a special issue dedicated to exploring how LLM and similar AI technologies can enhance and automate processes from IC design to system-level integration.
We are particularly interested in commentaries that address, but are not limited to, the following areas:
From Circuit Design, EDA, and System Integration Perspectives:
1. Automation of IC Design Processes:
o How can LLM be utilized to automate various stages of IC design, from conceptualization to layout?
o Case studies or theoretical explorations of LLM-driven design automation.
2. Optimization and Efficiency:
o Techniques for using LLM to optimize design parameters and improve efficiency.
o Comparative analyses of traditional methods versus AI-augmented approaches.
3. EDA Tool Integration:
o Practical insights into integrating LLM with existing EDA tools.
o Challenges and solutions in merging AI with conventional EDA workflows.
4. System Integration:
o How can LLM contribute to the seamless integration of ICs into larger systems?
o Case studies showcasing the role of LLM in system-level design and integration.
From the Development of LLM Prespectives:
5. Prompt Engineering:
o Techniques for crafting effective prompts to maximize LLM's utility in IC and EDA tasks.
o Case studies demonstrating successful applications of prompt engineering in design workflows.
6. Model Fine-Tuning:
o Methods for fine-tuning LLM models to meet specific requirements of IC design and EDA.
o Impact of fine-tuning on performance, accuracy, and efficiency.
7. Importance of Datasets:
o Role of high-quality datasets in training and refining LLM models.
o Strategies for curating and utilizing datasets to enhance LLM's capabilities in design automation.
Submissions should provide a clear, focused argument on how LLM can be applied to IC design, EDA, and System Integration, supported by evidence or theoretical analysis. We encourage authors to include practical examples, case studies, or personal experiences to illustrate their points.
· Length: 700-1,200 words
· References: 2-5 references, with additional context as needed
· Tone: Professional, yet accessible to a broad audience of engineers and researchers
For questions or further information, please contact Yongfu Li, yongfu.li@sjtu.edu.cn.
We look forward to your contributions and to advancing the conversation on the transformative potential of AI in IC design, EDA, and System Integration.