Langshi Chen

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 17

Top Topics

Optimization Scheme

Gradient Boosting

Group Communication

Top Venues

Proc. ACM Manag. Data

Publications

Hanyu Zhao, Zhi Yang, Yu Cheng, Chao Tian, Shiru Ren, Wencong Xiao, Man Yuan, Langshi Chen, Kaibo Liu, Yang Zhang, Yong Li, Wei Lin
GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning. Proc. ACM Manag. Data 1 (2) (2023)
Xianyan Jia, Le Jiang, Ang Wang, Wencong Xiao, Ziji Shi, Jie Zhang, Xinyuan Li, Langshi Chen, Yong Li, Zhen Zheng, Xiaoyong Liu, Wei Lin
Whale: Efficient Giant Model Training over Heterogeneous GPUs. USENIX Annual Technical Conference (2022)
Yuanxing Zhang, Langshi Chen, Siran Yang, Man Yuan, Huimin Yi, Jie Zhang, Jiamang Wang, Jianbo Dong, Yunlong Xu, Yue Song, Yong Li, Di Zhang, Wei Lin, Lin Qu, Bo Zheng
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems. ICDE (2022)
Yuanxing Zhang, Langshi Chen, Siran Yang, Man Yuan, Huimin Yi, Jie Zhang, Jiamang Wang, Jianbo Dong, Yunlong Xu, Yue Song, Yong Li, Di Zhang, Wei Lin, Lin Qu, Bo Zheng
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems. CoRR (2022)
Langshi Chen, Jiayu Li, Ariful Azad, Cenk Sahinalp, Madhav Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu
SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting. CoRR (2020)
Bo Peng, Judy Qiu, Langshi Chen, Jiayu Li, Miao Jiang, Selahattin Akkas, Egor Smirnov, Ruslan Israfilov, Sergey Khekhnev, Andrey Nikolaev
HarpGBDT: Optimizing Gradient Boosting Decision Tree for Parallel Efficiency. CLUSTER (2019)
Langshi Chen, Jiayu Li, Ariful Azad, Lei Jiang, Madhav Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu
A GraphBLAS Approach for Subgraph Counting. CoRR (2019)
Langshi Chen, Jiayu Li, Cenk Sahinalp, Madhav Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu
SubGraph2Vec: Highly-Vectorized Tree-like Subgraph Counting. IEEE BigData (2019)
Lei Jiang, Langshi Chen, Judy Qiu
Performance Characterization of Multi-threaded Graph Processing Applications on Many-Integrated-Core Architecture. ISPASS (2018)
Zhao Zhao, Langshi Chen, Mihai Avram, Meng Li, Guanying Wang, Ali Raza Butt, Maleq Khan, Madhav Marathe, Judy Qiu, Anil Vullikanti
Finding and Counting Tree-Like Subgraphs Using MapReduce. IEEE Trans. Multi Scale Comput. Syst. 4 (3) (2018)
Langshi Chen, Bo Peng, Sabra Ossen, Anil Vullikanti, Madhav Marathe, Lei Jiang, Judy Qiu
High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication. CoRR (2018)
Langshi Chen, Bo Peng, Sabra Ossen, Anil Vullikanti, Madhav Marathe, Lei Jiang, Judy Qiu
High-Performance Massive Subgraph Counting Using Pipelined Adaptive-Group Communication. TopHPC (2017)
Lei Jiang, Langshi Chen, Judy Qiu
Performance Characterization of Multi-threaded Graph Processing Applications on Intel Many-Integrated-Core Architecture. CoRR (2017)
Bo Peng, Bingjing Zhang, Langshi Chen, Mihai Avram, Robert Henschel, Craig A. Stewart, Shaojuan Zhu, Emily McCallum, Lisa Smith, Tom Zahniser, Jon Omer, Judy Qiu
HarpLDA+: Optimizing latent dirichlet allocation for parallel efficiency. IEEE BigData (2017)
Langshi Chen, Bo Peng, Bingjing Zhang, Tony Liu, Yiming Zou, Lei Jiang, Robert Henschel, Craig A. Stewart, Zhang Zhang, Emily McCallum, Zahniser Tom, Jon Omer, Judy Qiu
Benchmarking Harp-DAAL: High Performance Hadoop on KNL Clusters. CLOUD (2017)
Langshi Chen, Serge G. Petiton
A TSQR Based Krylov Basis Computation Method on Hybrid GPU Cluster. CLUSTER (2015)
Langshi Chen, Serge Petition
Toward Auto-tuned Krylov Basis Computation for Different Sparse Matrix Formats and Interconnects on GPU Clusters. CLUSTER (2015)
Langshi Chen, Serge G. Petiton, Leroy A. Drummond, Maxime R. Hugues
A Communication Optimization Scheme for Basis Computation of Krylov Subspace Methods on Multi-GPUs. VECPAR (2014)