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[2602.15241] GenAI for Systems: Recurring Challenges and Design Principles from Software to Silicon
Summary
This paper explores the integration of Generative AI in computing systems, identifying recurring challenges and design principles across software, architecture, and hardware design.
Why It Matters
As Generative AI transforms system design, understanding its challenges and principles is crucial for advancing technology. This paper offers a comprehensive analysis that can guide future research and development efforts across disciplines, fostering collaboration and innovation.
Key Takeaways
- Identifies five recurring challenges in Generative AI across computing layers.
- Proposes five design principles as effective responses to these challenges.
- Emphasizes the need for a shared engineering methodology across disciplines.
- Highlights the importance of continuous feedback and hybrid approaches in system design.
- Suggests that common vocabularies and benchmarks can enhance collaboration.
Computer Science > Software Engineering arXiv:2602.15241 (cs) [Submitted on 16 Feb 2026] Title:GenAI for Systems: Recurring Challenges and Design Principles from Software to Silicon Authors:Arya Tschand, Chenyu Wang, Zishen Wan, Andrew Cheng, Ioana Cristescu, Kevin He, Howard Huang, Alexander Ingare, Akseli Kangaslahti, Sara Kangaslahti, Theo Lebryk, Hongjin Lin, Jeffrey Jian Ma, Alexandru Meterez, Clara Mohri, Depen Morwani, Sunny Qin, Roy Rinberg, Paula Rodriguez-Diaz, Alyssa Mia Taliotis, Pernille Undrum Fathi, Rosie Zhao, Todd Zhou, Vijay Janapa Reddi View a PDF of the paper titled GenAI for Systems: Recurring Challenges and Design Principles from Software to Silicon, by Arya Tschand and 23 other authors View PDF HTML (experimental) Abstract:Generative AI is reshaping how computing systems are designed, optimized, and built, yet research remains fragmented across software, architecture, and chip design communities. This paper takes a cross-stack perspective, examining how generative models are being applied from code generation and distributed runtimes through hardware design space exploration to RTL synthesis, physical layout, and verification. Rather than reviewing each layer in isolation, we analyze how the same structural difficulties and effective responses recur across the stack. Our central finding is one of convergence. Despite the diversity of domains and tools, the field keeps encountering five recurring challenges (the feedback loop crisis, the tacit knowled...
