Papers
About this collection: This is a curated repository of recent research papers at the intersection of AI and computer systems design. The collection focuses specifically on AI for Hardware — papers that demonstrate how artificial intelligence techniques are being applied to optimize, design, and verify hardware systems, from analog circuits to chip architecture to system-level optimization.
Why we maintain this: Finding relevant Architecture 2.0 papers scattered across conferences like DAC, ICCAD, ASPLOS, ISCA, and arXiv can be time-consuming. This centralized, searchable collection makes it easy for students and researchers to quickly discover papers relevant to AI-driven hardware design, whether you're looking for the latest in LLM-assisted verification, neural architecture search for accelerators, or ML-driven chip placement algorithms.
The collection is updated periodically throughout the semester as new relevant papers emerge. Use the category filters and search function to quickly find papers in your area of interest.
Total papers: 993