GUIDE: GenAI Units In Digital Design Education
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arXiv
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| Main Authors: | , , , , , , , , |
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866912972364840960 |
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| author | Xiao, Weihua Blocklove, Jason DeLorenzo, Matthew Knechtel, Johann Sinanoglu, Ozgur Basu, Kanad Rajendran, Jeyavijayan Garg, Siddharth Karri, Ramesh |
| author_facet | Xiao, Weihua Blocklove, Jason DeLorenzo, Matthew Knechtel, Johann Sinanoglu, Ozgur Basu, Kanad Rajendran, Jeyavijayan Garg, Siddharth Karri, Ramesh |
| contents | GenAI Units In Digital Design Education (GUIDE) is an open courseware repository with runnable Google Colab labs and other materials. We describe the repository's architecture and educational approach based on standardized teaching units comprising slides, short videos, runnable labs, and related papers. This organization enables consistency for both the students' learning experience and the reuse and grading by instructors. We demonstrate GUIDE in practice with three representative units: VeriThoughts for reasoning and formal-verification-backed RTL generation, enhanced LLM-aided testbench generation, and LLMPirate for IP Piracy. We also provide details for four example course instances (GUIDE4ChipDesign, Build your ASIC, GUIDE4HardwareSecurity, and Hardware Design) that assemble GUIDE units into full semester offerings, learning outcomes, and capstone projects, all based on proven materials. For example, the GUIDE4HardwareSecurity course includes a project on LLM-aided hardware Trojan insertion that has been successfully deployed in the classroom and in Cybersecurity Games and Conference (CSAW), a student competition and academic conference for cybersecurity. We also organized an NYU Cognichip Hackathon, engaging students across 24 international teams in AI-assisted RTL design workflows. The GUIDE repository is open for contributions and available at: https://github.com/FCHXWH823/LLM4ChipDesign. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2603_17296 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | GUIDE: GenAI Units In Digital Design Education Xiao, Weihua Blocklove, Jason DeLorenzo, Matthew Knechtel, Johann Sinanoglu, Ozgur Basu, Kanad Rajendran, Jeyavijayan Garg, Siddharth Karri, Ramesh Computers and Society Artificial Intelligence GenAI Units In Digital Design Education (GUIDE) is an open courseware repository with runnable Google Colab labs and other materials. We describe the repository's architecture and educational approach based on standardized teaching units comprising slides, short videos, runnable labs, and related papers. This organization enables consistency for both the students' learning experience and the reuse and grading by instructors. We demonstrate GUIDE in practice with three representative units: VeriThoughts for reasoning and formal-verification-backed RTL generation, enhanced LLM-aided testbench generation, and LLMPirate for IP Piracy. We also provide details for four example course instances (GUIDE4ChipDesign, Build your ASIC, GUIDE4HardwareSecurity, and Hardware Design) that assemble GUIDE units into full semester offerings, learning outcomes, and capstone projects, all based on proven materials. For example, the GUIDE4HardwareSecurity course includes a project on LLM-aided hardware Trojan insertion that has been successfully deployed in the classroom and in Cybersecurity Games and Conference (CSAW), a student competition and academic conference for cybersecurity. We also organized an NYU Cognichip Hackathon, engaging students across 24 international teams in AI-assisted RTL design workflows. The GUIDE repository is open for contributions and available at: https://github.com/FCHXWH823/LLM4ChipDesign. |
| title | GUIDE: GenAI Units In Digital Design Education |
| topic | Computers and Society Artificial Intelligence |
| url | https://arxiv.org/abs/2603.17296 |