1 citations · 1 across the 3 of their papers we have counts for
4 papers
MacroAgent: Regularity-Aware Macro Legalization with LLM-Agent-Designed Contour Algorithms
Jiaxi Jiang, Xufeng Yao, Yuxuan Zhao +5
Macros constitute a large part of the core area in modern very large-scale integration (VLSI) designs. Moreover, macro positions have a significant impact on the final quality of r…
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…
Evolution of Optimization Algorithms for Global Placement via Large Language Models
Xufeng Yao, Jiaxi Jiang, Yuxuan Zhao +3
Optimization algorithms are widely employed to tackle complex problems, but designing them manually is often labor-intensive and requires significant expertise. Global placement is…
RTLRewriter: Methodologies for Large Models aided RTL Code Optimization
Xufeng Yao, Yiwen Wang, Xing Li +6
Register Transfer Level (RTL) code optimization is crucial for enhancing the efficiency and performance of digital circuits during early synthesis stages. Currently, optimization r…