Langshi Chen - RankMe

18 papers A* 1B 2C 3Journal 7Unranked 5

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning. Proc. ACM Manag. Data Hanyu Zhao, Zhi Yang, Yu Cheng, Chao Tian, Shiru Ren, Wencong Xiao, Man Yuan, Langshi Chen, Kaibo Liu, Yang Zhang, Yong Li, Wei Lin
2022	A*	`conf`	PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems. ICDE 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
2022	J	`jnl`	PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems. CoRR 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
2022	—	`conf`	Whale: Efficient Giant Model Training over Heterogeneous GPUs. USENIX ATC Xianyan Jia, Le Jiang, Ang Wang, Wencong Xiao, Ziji Shi, Jie Zhang, Xinyuan Li, Langshi Chen, Yong Li, Zhen Zheng, Xiaoyong Liu, Wei Lin
2020	J	`jnl`	SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting. CoRR Langshi Chen, Jiayu Li, Ariful Azad, S. Cenk Sahinalp, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu
2019	J	`jnl`	A GraphBLAS Approach for Subgraph Counting. CoRR Langshi Chen, Jiayu Li, Ariful Azad, Lei Jiang, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu
2019	C	`conf`	HarpGBDT: Optimizing Gradient Boosting Decision Tree for Parallel Efficiency. CLUSTER Bo Peng, Judy Qiu, Langshi Chen, Jiayu Li, Miao Jiang, Selahattin Akkas, Egor Smirnov, Ruslan Israfilov, Sergey Khekhnev, Andrey Nikolaev
2019	—	`conf`	SubGraph2Vec: Highly-Vectorized Tree-like Subgraph Counting. IEEE BigData Langshi Chen, Jiayu Li, S. Cenk Sahinalp, Madhav V. Marathe, Anil Vullikanti, Andrey Nikolaev, Egor Smirnov, Ruslan Israfilov, Judy Qiu
2018	J	`jnl`	Finding and Counting Tree-Like Subgraphs Using MapReduce. IEEE Trans. Multi Scale Comput. Syst. Zhao Zhao, Langshi Chen, Mihai Avram, Meng Li, Guanying Wang, Ali Raza Butt, Maleq Khan, Madhav V. Marathe, Judy Qiu, Anil Vullikanti
2018	J	`jnl`	High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication. CoRR Langshi Chen, Bo Peng, Sabra Ossen, Anil Vullikanti, Madhav V. Marathe, Lei Jiang, Judy Qiu
2018	B	`conf`	Performance Characterization of Multi-threaded Graph Processing Applications on Many-Integrated-Core Architecture. ISPASS Lei Jiang, Langshi Chen, Judy Qiu
2017	B	`conf`	Benchmarking Harp-DAAL: High Performance Hadoop on KNL Clusters. CLOUD 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
2017	—	`conf`	HarpLDA+: Optimizing latent dirichlet allocation for parallel efficiency. IEEE BigData 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
2017	—	`conf`	High-Performance Massive Subgraph Counting Using Pipelined Adaptive-Group Communication. TopHPC Langshi Chen, Bo Peng, Sabra Ossen, Anil Vullikanti, Madhav V. Marathe, Lei Jiang, Judy Qiu
2017	J	`jnl`	Performance Characterization of Multi-threaded Graph Processing Applications on Intel Many-Integrated-Core Architecture. CoRR Lei Jiang, Langshi Chen, Judy Qiu
2015	C	`conf`	A TSQR Based Krylov Basis Computation Method on Hybrid GPU Cluster. CLUSTER Langshi Chen, Serge G. Petiton
2015	C	`conf`	Toward Auto-tuned Krylov Basis Computation for Different Sparse Matrix Formats and Interconnects on GPU Clusters. CLUSTER Langshi Chen, Serge Petition
2014	—	`conf`	A Communication Optimization Scheme for Basis Computation of Krylov Subspace Methods on Multi-GPUs. VECPAR Langshi Chen, Serge G. Petiton, Leroy Anthony Drummond, Maxime R. Hugues