3 papers
cs.AI2026
MicroEvo: Knowledge-Guided LLM Sampling for Efficient Microarchitecture Design Space Exploration
Jia Xiong, Runkai Li, Chenxu Niu +11
Microarchitecture design space exploration suffers from expansive search spaces and expensive PPA evaluation, leaving only a small simulation budget for design decision-making. Exi…
cs.AI2025
ChipMind: Retrieval-Augmented Reasoning for Long-Context Circuit Design Specifications
Changwen Xing, SamZaak Wong, Xinlai Wan +9
While Large Language Models (LLMs) demonstrate immense potential for automating integrated circuit (IC) development, their practical deployment is fundamentally limited by restrict…
cs.AR2025
FIXME: Towards End-to-End Benchmarking of LLM-Aided Design Verification
Gwok-Waa Wan, Shengchu Su, Ruihu Wang +15
Despite the transformative potential of Large Language Models (LLMs) in hardware design, a comprehensive evaluation of their capabilities in design verification remains underexplor…