2 papers
cs.PL2024
Towards LLM-Powered Verilog RTL Assistant: Self-Verification and Self-Correction
Hanxian Huang, Zhenghan Lin, Zixuan Wang +3
We explore the use of Large Language Models (LLMs) to generate high-quality Register-Transfer Level (RTL) code with minimal human interference. The traditional RTL design workflow…
cs.DC2024
GeoT: Tensor Centric Library for Graph Neural Network via Efficient Segment Reduction on GPU
Zhongming Yu, Genghan Zhang, Hanxian Huang +2
In recent years, Graph Neural Networks (GNNs) have ignited a surge of innovation, significantly enhancing the processing of geometric data structures such as graphs, point clouds,…