A TSQR Based Krylov Basis Computation Method on Hybrid GPU Cluster
Langshi Chen, Petiton, Serge
Published in 2015 IEEE International Conference on Cluster Computing (01.09.2015)
Published in 2015 IEEE International Conference on Cluster Computing (01.09.2015)
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Conference Proceeding
Toward Auto-tuned Krylov Basis Computation for Different Sparse Matrix Formats and Interconnects on GPU Clusters
Langshi Chen, Petition, Serge
Published in 2015 IEEE International Conference on Cluster Computing (01.09.2015)
Published in 2015 IEEE International Conference on Cluster Computing (01.09.2015)
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Conference Proceeding
Benchmarking Harp-DAAL: High Performance Hadoop on KNL Clusters
Langshi Chen, Bo Peng, Bingjing Zhang, Liu, Tony, Yiming Zou, Lei Jiang, Henschel, Robert, Stewart, Craig, Zhang Zhang, McCallum, Emily, Tom, Zahniser, Jon, Omer, Qiu, Judy
Published in 2017 IEEE 10th International Conference on Cloud Computing (CLOUD) (01.06.2017)
Published in 2017 IEEE 10th International Conference on Cloud Computing (CLOUD) (01.06.2017)
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Conference Proceeding
HarpLDA+: Optimizing latent dirichlet allocation for parallel efficiency
Bo Peng, Bingjing Zhang, Langshi Chen, Avram, Mihai, Henschel, Robert, Stewart, Craig, Shaojuan Zhu, Mccallum, Emily, Smith, Lisa, Zahniser, Tom, Omer, Jon, Qiu, Judy
Published in 2017 IEEE International Conference on Big Data (Big Data) (01.12.2017)
Published in 2017 IEEE International Conference on Big Data (Big Data) (01.12.2017)
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Conference Proceeding
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems
Zhang, Yuanxing, Chen, Langshi, Yang, Siran, Yuan, Man, Yi, Huimin, Zhang, Jie, Wang, Jiamang, Dong, Jianbo, Xu, Yunlong, Song, Yue, Li, Yong, Zhang, Di, Lin, Wei, Qu, Lin, Zheng, Bo
Published in 2022 IEEE 38th International Conference on Data Engineering (ICDE) (01.05.2022)
Published in 2022 IEEE 38th International Conference on Data Engineering (ICDE) (01.05.2022)
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Conference Proceeding
HarpGBDT: Optimizing Gradient Boosting Decision Tree for Parallel Efficiency
Peng, Bo, Qiu, Judy, Chen, Langshi, Li, Jiayu, Jiang, Miao, Akkas, Selahattin, Smirnov, Egor, Israfilov, Ruslan, Khekhnev, Sergey, Nikolaev, Andrey
Published in 2019 IEEE International Conference on Cluster Computing (CLUSTER) (01.09.2019)
Published in 2019 IEEE International Conference on Cluster Computing (CLUSTER) (01.09.2019)
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Conference Proceeding
Finding and Counting Tree-Like Subgraphs Using MapReduce
Zhao, Zhao, Chen, Langshi, Avram, Mihai, Li, Meng, Wang, Guanying, Butt, Ali, Khan, Maleq, Marathe, Madhav, Qiu, Judy, Vullikanti, Anil
Published in IEEE transactions on multi-scale computing systems (01.07.2018)
Published in IEEE transactions on multi-scale computing systems (01.07.2018)
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Journal Article
Performance Characterization of Multi-threaded Graph Processing Applications on Many-Integrated-Core Architecture
Jiang, Lei, Chen, Langshi, Qiu, Judy
Published in 2018 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) (01.04.2018)
Published in 2018 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) (01.04.2018)
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Conference Proceeding
SubGraph2Vec: Highly-Vectorized Tree-likeSubgraph Counting
Chen, Langshi, Li, Jiayu, Azad, Ariful, Sahinalp, Cenk, Marathe, Madhav, Vullikanti, Anil, Nikolaev, Andrey, Smirnov, Egor, Israfilov, Ruslan, Qiu, Judy
Published in arXiv.org (04.10.2020)
Published in arXiv.org (04.10.2020)
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Paper
Journal Article
SubGraph2Vec: Highly-Vectorized Tree-like Subgraph Counting
Chen, Langshi, Li, Jiayu, Sahinalp, Cenk, Marathe, Madhav, Vullikanti, Anil, Nikolaev, Andrey, Smirnov, Egor, Israfilov, Ruslan, Qiu, Judy
Published in 2019 IEEE International Conference on Big Data (Big Data) (01.12.2019)
Published in 2019 IEEE International Conference on Big Data (Big Data) (01.12.2019)
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Conference Proceeding
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems
Zhang, Yuanxing, Chen, Langshi, Yang, Siran, Yuan, Man, Yi, Huimin, Zhang, Jie, Wang, Jiamang, Dong, Jianbo, Xu, Yunlong, Song, Yue, Li, Yong, Zhang, Di, Lin, Wei, Qu, Lin, Zheng, Bo
Year of Publication 11.04.2022
Year of Publication 11.04.2022
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Journal Article
Whale: Efficient Giant Model Training over Heterogeneous GPUs
Jia, Xianyan, Jiang, Le, Wang, Ang, Xiao, Wencong, Shi, Ziji, Zhang, Jie, Li, Xinyuan, Chen, Langshi, Li, Yong, Zheng, Zhen, Liu, Xiaoyong, Lin, Wei
Year of Publication 18.11.2020
Year of Publication 18.11.2020
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Journal Article
High-Performance Massive Subgraph Counting using Pipelined Adaptive-Group Communication
Chen, Langshi, Peng, Bo, Ossen, Sabra, Vullikanti, Anil, Marathe, Madhav, Jiang, Lei, Qiu, Judy
Year of Publication 25.04.2018
Year of Publication 25.04.2018
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Journal Article
A GraphBLAS Approach for Subgraph Counting
Chen, Langshi, Li, Jiayu, Azad, Ariful, Jiang, Lei, Marathe, Madhav, Vullikanti, Anil, Nikolaev, Andrey, Smirnov, Egor, Israfilov, Ruslan, Qiu, Judy
Year of Publication 11.03.2019
Year of Publication 11.03.2019
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Journal Article
Whale: Efficient Giant Model Training over Heterogeneous GPUs
Jia, Xianyan, Jiang, Le, Wang, Ang, Xiao, Wencong, Shi, Ziji, Zhang, Jie, Li, Xinyuan, Chen, Langshi, Li, Yong, Zheng, Zhen, Liu, Xiaoyong, Lin, Wei
Published in arXiv.org (06.06.2022)
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Published in arXiv.org (06.06.2022)
Paper
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems
Zhang, Yuanxing, Chen, Langshi, Yang, Siran, Yuan, Man, Yi, Huimin, Zhang, Jie, Wang, Jiamang, Dong, Jianbo, Xu, Yunlong, Song, Yue, Li, Yong, Zhang, Di, Lin, Wei, Qu, Lin, Zheng, Bo
Published in arXiv.org (17.04.2022)
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Published in arXiv.org (17.04.2022)
Paper