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Youshan Miao
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2020 – today
- 2024
- [c15]Guodong Liu
, Youshan Miao
, Zhiqi Lin
, Xiaoxiang Shi
, Saeed Maleki
, Fan Yang
, Yungang Bao
, Sa Wang
:
Aceso: Efficient Parallel DNN Training through Iterative Bottleneck Alleviation. EuroSys 2024: 163-181 - [c14]Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang:
Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search. HPCA 2024: 803-816 - [c13]Zhiqi Lin, Youshan Miao, Quanlu Zhang, Fan Yang, Yi Zhu, Cheng Li, Saeed Maleki, Xu Cao, Ning Shang, Yilei Yang, Weijiang Xu, Mao Yang, Lintao Zhang, Lidong Zhou:
nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training. OSDI 2024: 347-363 - 2023
- [c12]Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu:
Adam Accumulation to Reduce Memory Footprints of Both Activations and Gradients for Large-Scale DNN Training. ECAI 2023: 3058-3065 - [i10]Zhiqi Lin, Youshan Miao, Guodong Liu, Xiaoxiang Shi, Quanlu Zhang, Fan Yang, Saeed Maleki, Yi Zhu, Xu Cao, Cheng Li, Mao Yang, Lintao Zhang, Lidong Zhou:
SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction. CoRR abs/2301.08984 (2023) - [i9]Yijia Zhang, Yibo Han, Shijie Cao, Guohao Dai, Youshan Miao, Ting Cao, Fan Yang, Ningyi Xu:
Adam Accumulation to Reduce Memory Footprints of both Activations and Gradients for Large-scale DNN Training. CoRR abs/2305.19982 (2023) - [i8]Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang:
Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search. CoRR abs/2311.15269 (2023) - 2022
- [c11]Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao
, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi:
Breaking the computation and communication abstraction barrier in distributed machine learning workloads. ASPLOS 2022: 402-416 - 2021
- [j4]Youhui Bai, Cheng Li
, Zhiqi Lin
, Yufei Wu
, Youshan Miao
, Yunxin Liu
, Yinlong Xu:
Efficient Data Loader for Fast Sampling-Based GNN Training on Large Graphs. IEEE Trans. Parallel Distributed Syst. 32(10): 2541-2556 (2021) - [c10]Taehyun Kim, Changho Hwang, KyoungSoo Park, Zhiqi Lin, Peng Cheng, Youshan Miao, Lingxiao Ma, Yongqiang Xiong:
Accelerating GNN training with locality-aware partial execution. APSys 2021: 34-41 - [i7]Cheng Luo, Lei Qu, Youshan Miao, Peng Cheng, Yongqiang Xiong:
CrossoverScheduler: Overlapping Multiple Distributed Training Applications in a Crossover Manner. CoRR abs/2103.07974 (2021) - [i6]Abhinav Jangda, Jun Huang, Guodong Liu, Amir Hossein Nodehi Sabet, Saeed Maleki, Youshan Miao, Madanlal Musuvathi, Todd Mytkowicz, Olli Saarikivi:
CoCoNet: Co-Optimizing Computation and Communication for Distributed Machine Learning. CoRR abs/2105.05720 (2021) - [i5]Zhihui Zhang, Jingwen Leng, Shuwen Lu, Youshan Miao, Yijia Diao, Minyi Guo, Chao Li, Yuhao Zhu:
ZIPPER: Exploiting Tile- and Operator-level Parallelism for General and Scalable Graph Neural Network Acceleration. CoRR abs/2107.08709 (2021) - [i4]Xiaonan Nie, Shijie Cao, Xupeng Miao, Lingxiao Ma, Jilong Xue, Youshan Miao, Zichao Yang, Zhi Yang, Bin Cui:
Dense-to-Sparse Gate for Mixture-of-Experts. CoRR abs/2112.14397 (2021) - 2020
- [j3]Zhihui Zhang
, Jingwen Leng
, Lingxiao Ma, Youshan Miao
, Chao Li
, Minyi Guo
:
Architectural Implications of Graph Neural Networks. IEEE Comput. Archit. Lett. 19(1): 59-62 (2020) - [j2]Wencong Xiao
, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou
:
Distributed Graph Computation Meets Machine Learning. IEEE Trans. Parallel Distributed Syst. 31(7): 1588-1604 (2020) - [c9]Zhiqi Lin, Cheng Li, Youshan Miao, Yunxin Liu, Yinlong Xu:
PaGraph: Scaling GNN training on large graphs via computation-aware caching. SoCC 2020: 401-415 - [c8]Hong Huang, Zixuan Fang, Xiao Wang, Youshan Miao, Hai Jin:
Motif-Preserving Temporal Network Embedding. IJCAI 2020: 1237-1243 - [c7]Lingxiao Ma, Zhiqiang Xie, Zhi Yang, Jilong Xue, Youshan Miao, Wei Cui, Wenxiang Hu, Fan Yang, Lintao Zhang, Lidong Zhou:
Rammer: Enabling Holistic Deep Learning Compiler Optimizations with rTasks. OSDI 2020: 881-897 - [i3]Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo:
Architectural Implications of Graph Neural Networks. CoRR abs/2009.00804 (2020)
2010 – 2019
- 2019
- [c6]Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou:
Fast Distributed Deep Learning over RDMA. EuroSys 2019: 44:1-44:14 - [c5]Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai:
NeuGraph: Parallel Deep Neural Network Computation on Large Graphs. USENIX ATC 2019: 443-458 - 2018
- [i2]Jilong Xue, Youshan Miao, Cheng Chen, Ming Wu, Lintao Zhang, Lidong Zhou:
RPC Considered Harmful: Fast Distributed Deep Learning on RDMA. CoRR abs/1805.08430 (2018) - [i1]Lingxiao Ma, Zhi Yang, Youshan Miao, Jilong Xue, Ming Wu, Lidong Zhou, Yafei Dai:
Towards Efficient Large-Scale Graph Neural Network Computing. CoRR abs/1810.08403 (2018) - 2017
- [c4]Wencong Xiao, Jilong Xue, Youshan Miao, Zhen Li, Cheng Chen, Ming Wu, Wei Li, Lidong Zhou:
Tux2: Distributed Graph Computation for Machine Learning. NSDI 2017: 669-682 - 2015
- [j1]Youshan Miao, Wentao Han, Kaiwei Li, Ming Wu, Fan Yang, Lidong Zhou, Vijayan Prabhakaran, Enhong Chen, Wenguang Chen:
ImmortalGraph: A System for Storage and Analysis of Temporal Graphs. ACM Trans. Storage 11(3): 14:1-14:34 (2015) - [c3]Ming Wu, Fan Yang, Jilong Xue, Wencong Xiao, Youshan Miao, Lan Wei, Haoxiang Lin
, Yafei Dai, Lidong Zhou:
GraM: scaling graph computation to the trillions. SoCC 2015: 408-421 - 2014
- [c2]Wentao Han, Youshan Miao, Kaiwei Li, Ming Wu, Fan Yang, Lidong Zhou, Vijayan Prabhakaran, Wenguang Chen, Enhong Chen:
Chronos: a graph engine for temporal graph analysis. EuroSys 2014: 1:1-1:14 - 2012
- [c1]Raymond Cheng, Ji Hong, Aapo Kyrola, Youshan Miao, Xuetian Weng, Ming Wu, Fan Yang, Lidong Zhou, Feng Zhao, Enhong Chen:
Kineograph: taking the pulse of a fast-changing and connected world. EuroSys 2012: 85-98
Coauthor Index
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last updated on 2024-08-15 23:42 CEST by the dblp team
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