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.ET2026
RTLocating: Intent-aware RTL Localization for Hardware Design Iteration
Changwen Xing, Yanfeng Lu, Lei Qi +5
Industrial chip development is inherently iterative, favoring localized, intent-driven updates over rewriting RTL from scratch. Yet most LLM-Aided Hardware Design (LAD) work focuse…
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…