1 citations · 1 across the 3 of their papers we have counts for
3 papers
CNN-Cap: Effective Convolutional Neural Network Based Capacitance Models for Full-Chip Parasitic Extraction
Dingcheng Yang, Wenjian Yu, Yuanbo Guo +1
Accurate capacitance extraction is becoming more important for designing integrated circuits under advanced process technology. The pattern matching based full-chip extraction meth…
ResPerfNet: Deep Residual Learning for Regressional Performance Modeling of Deep Neural Networks
Chuan-Chi Wang, Ying-Chiao Liao, Chia-Heng Tu +3
The rapid advancements of computing technology facilitate the development of diverse deep learning applications. Unfortunately, the efficiency of parallel computing infrastructures…
Toward Accurate Platform-Aware Performance Modeling for Deep Neural Networks
Chuan-Chi Wang, Ying-Chiao Liao, Ming-Chang Kao +2
In this paper, we provide a fine-grain machine learning-based method, PerfNetV2, which improves the accuracy of our previous work for modeling the neural network performance on a v…