Baixi Sun

14 papers A* 1A 2B 1Journal 9Unranked 1
YearRankTypeTitle / Venue / Authors
2025 B conf
COMPSO: Optimizing Gradient Compression for Distributed Training with Second-Order Optimizers.
PPoPP
Baixi Sun, Weijin Liu, J. Gregory Pauloski, Jiannan Tian, Jinda Jia, Daoce Wang, Boyuan Zhang, Mingkai Zheng, Sheng Di, Sian Jin, Zhao Zhang, Xiaodong Yu, Kamil A. Iskra, Pete Beckman, Guangming Tan, Dingwen Tao
2025 A conf
STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data.
SC
Daoce Wang, Pascal Grosset, Jesus Pulido, Jiannan Tian, Tushar M. Athawale, Jinda Jia, Baixi Sun, Boyuan Zhang, Sian Jin, Kai Zhao, James P. Ahrens, Fengguang Song
2025 J jnl
STZ: A High Quality and High Speed Streaming Lossy Compression Framework for Scientific Data.
CoRR
Daoce Wang, Pascal Grosset, Jesus Pulido, Jiannan Tian, Tushar M. Athawale, Jinda Jia, Baixi Sun, Boyuan Zhang, Sian Jin, Kai Zhao, James P. Ahrens, Fengguang Song
2025 J jnl
UFN: User-Friendly Navigation Framework Based on Systematic Utilization of User-Friendliness Features from Historical Traffic Data.
J. Comput. Sci. Technol.
Shien Huang, Baixi Sun, Ling-Jun Fan, Xinyu Chen, Jiannan Tian, Qianwen Shen, Huaiyu Wan, Dingwen Tao, Ergude Bao
2024 J jnl
FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training with Limited Resources.
CoRR
Xiyuan Wei, Fanjiang Ye, Ori Yonay, Xingyu Chen, Baixi Sun, Dingwen Tao, Tianbao Yang
2024 J jnl
GFormer: Accelerating Large Language Models with Optimized Transformers on Gaudi Processors.
CoRR
Chengming Zhang, Xinheng Ding, Baixi Sun, Xiaodong Yu, Weijian Zheng, Zhen Xie, Dingwen Tao
2024 J jnl
PVII: A pedestrian-vehicle interactive and iterative prediction framework for pedestrian's trajectory.
Appl. Intell.
Qianwen Shen, Shien Huang, Baixi Sun, Xinyu Chen, Dingwen Tao, Huaiyu Wan, Ergude Bao
2024 A* conf
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training.
NeurIPS
Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao
2024 J jnl
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training.
CoRR
Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao
2023 — conf
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors.
SC Workshops
Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil A. Iskra, Pete Beckman, Dingwen Tao
2023 J jnl
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors.
CoRR
Chengming Zhang, Baixi Sun, Xiaodong Yu, Zhen Xie, Weijian Zheng, Kamil Iskra, Pete Beckman, Dingwen Tao
2023 A conf
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs.
ICS
Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao
2023 J jnl
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs.
CoRR
Chengming Zhang, Shaden Smith, Baixi Sun, Jiannan Tian, Jonathan Soifer, Xiaodong Yu, Shuaiwen Leon Song, Yuxiong He, Dingwen Tao
2022 J jnl
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates.
CoRR
Baixi Sun, Xiaodong Yu, Chengming Zhang, Jiannan Tian, Sian Jin, Kamil Iskra, Tao Zhou, Tekin Bicer, Pete Beckman, Dingwen Tao