Yining Shi

According to our database, Yining Shi authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Ladder: Enabling Efficient Low-Precision Deep Learning Computing through Hardware-aware Tensor Transformation.

Lei Wang, Lingxiao Ma, Shijie Cao, Quanlu Zhang, Jilong Xue, Yining Shi, Ningxin Zheng, Ziming Miao, Fan Yang, Ting Cao, Yuqing Yang, Mao Yang

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

2023

SDPipe: A Semi-Decentralized Framework for Heterogeneity-aware Pipeline-parallel Training.

Xupeng Miao, Yining Shi, Zhi Yang, Bin Cui, Zhihao Jia

Proc. VLDB Endow., 2023

Cocktailer: Analyzing and Optimizing Dynamic Control Flow in Deep Learning.

Chen Zhang, Lingxiao Ma, Jilong Xue, Yining Shi, Ziming Miao, Fan Yang, Jidong Zhai, Zhi Yang, Mao Yang

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

Welder: Scheduling Deep Learning Memory Access via Tile-graph.

Yining Shi, Zhi Yang, Jilong Xue, Lingxiao Ma, Yuqing Xia, Ziming Miao, Yuxiao Guo, Fan Yang, Lidong Zhou

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

2022

HET-GMP: A Graph-based System Approach to Scaling Large Embedding Model Training.

Xupeng Miao, Yining Shi, Hailin Zhang, Xin Zhang, Xiaonan Nie, Zhi Yang, Bin Cui

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

2021

HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework.

Xupeng Miao, Hailin Zhang, Yining Shi, Xiaonan Nie, Zhi Yang, Yangyu Tao, Bin Cui

Proc. VLDB Endow., 2021