2 papers
cs.AR2025
FADiff: Fusion-Aware Differentiable Optimization for DNN Scheduling on Tensor Accelerators
Shuao Jia, Zichao Ling, Chen Bai +2
Efficient deployment of Deep Neural Networks (DNNs), such as Large Language Models (LLMs), on tensor accelerators is essential for maximizing computational efficiency in modern AI…
cs.LG2025
Transferable Parasitic Estimation via Graph Contrastive Learning and Label Rebalancing in AMS Circuits
Shan Shen, Shenglu Hua, Jiajun Zou +4
Graph representation learning on Analog-Mixed Signal (AMS) circuits is crucial for various downstream tasks, e.g., parasitic estimation. However, the scarcity of design data, the u…