6 citations · 6 across the 3 of their papers we have counts for
3 papers
cs.AR2026
Fast Cross-Operator Optimization of Attention Dataflow
Haodong Chang, Hailiang Hu, Zhenrui Wang +5
Attention is a fundamental computational kernel that accounts for the majority of the workload in transformer and LLM computing. Optimizing dataflow is crucial for enhancing both p…
cs.LG2020
Automatic Routability Predictor Development Using Neural Architecture Search
Chen-Chia Chang, Jingyu Pan, Tunhou Zhang +8
The rise of machine learning technology inspires a boom of its applications in electronic design automation (EDA) and helps improve the degree of automation in chip designs. Howeve…
cs.LG2020★ 6 cited
Net2: A Graph Attention Network Method Customized for Pre-Placement Net Length Estimation
Zhiyao Xie, Rongjian Liang, Xiaoqing Xu +3
Net length is a key proxy metric for optimizing timing and power across various stages of a standard digital design flow. However, the bulk of net length information is not availab…