1 citations · 2 across the 2 of their papers we have counts for
4 papers
Mimose: An Input-Aware Checkpointing Planner for Efficient Training on GPU
Jianjin Liao, Mingzhen Li, Qingxiao Sun +8
Larger deep learning models usually lead to higher model quality with an ever-increasing GPU memory footprint. Although tensor checkpointing techniques have been proposed to enable…
Privacy for Rescue: A New Testimony Why Privacy is Vulnerable In Deep Models
Ruiyuan Gao, Ming Dun, Hailong Yang +2
The huge computation demand of deep learning models and limited computation resources on the edge devices calls for the cooperation between edge device and cloud service by splitti…
Massively Scaling Seismic Processing on Sunway TaihuLight Supercomputer
Yongmin Hu, Hailong Yang, Zhongzhi Luan +1
Common Midpoint (CMP) and Common Reflection Surface (CRS) are widely used methods for improving the signal-to-noise ratio in the field of seismic processing. These methods are comp…
CompactNet: Platform-Aware Automatic Optimization for Convolutional Neural Networks
Weicheng Li, Rui Wang, Zhongzhi Luan +4
Convolutional Neural Network (CNN) based Deep Learning (DL) has achieved great progress in many real-life applications. Meanwhile, due to the complex model structures against stric…