3 papers
cs.AR2026
HINT: Toward an Executable Hardware-Intent Representation Layer for LLM-Driven RTL Generation
Tairan Cheng, Yi Liu, Dongsheng Zuo +6
Generating implementation-quality RTL with large language models (LLMs) remains difficult because direct generation must resolve microarchitecture while simultaneously producing an…
cs.AR2026
LongRTL: Graph-Similarity-Guided LLM-driven Long Context RTL Optimization
Yuyang Ye, Che-Kuan Shen, Xiangfei Hu +5
Large Language Models (LLMs) show great promise in RTL code generation and optimization. However, real-world RTL designs are typically long, entangled, and poorly modularized, posi…
cs.AR2024
Timing-driven Approximate Logic Synthesis Based on Double-chase Grey Wolf Optimizer
Xiangfei Hu, Yuyang Ye, Tinghuan Chen +2
With the shrinking technology nodes, timing optimization becomes increasingly challenging. Approximate logic synthesis (ALS) can perform local approximate changes (LACs) on circuit…