6 citations · 9 across the 4 of their papers we have counts for
6 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…
Redundant Loads: A Software Inefficiency Indicator
Pengfei Su, Shasha Wen, Hailong Yang +2
Modern software packages have become increasingly complex with millions of lines of code and references to many external libraries. Redundant operations are a common performance li…
Generative Model for Heterogeneous Inference
Honggang Zhou, Yunchun Li, Hailong Yang +2
Generative models (GMs) such as Generative Adversary Network (GAN) and Variational Auto-Encoder (VAE) have thrived these years and achieved high quality results in generating new s…
BigRoots: An Effective Approach for Root-cause Analysis of Stragglers in Big Data System
Honggang Zhou, Yunchun Li, Hailong Yang +2
Stragglers are commonly believed to have a great impact on the performance of big data system. However, the reason to cause straggler is complicated. Previous works mostly focus on…