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2020 – today
- 2023
[c13]Shibo Wang, Jinliang Wei, Amit Sabne, Andy Davis, Berkin Ilbeyi, Blake Hechtman, Dehao Chen, Karthik Srinivasa Murthy, Marcello Maggioni, Qiao Zhang, Sameer Kumar, Tongfei Guo, Yuanzhong Xu, Zongwei Zhou:
Overlap Communication with Dependent Computation via Decomposition in Large Deep Learning Models. ASPLOS (1) 2023: 93-106- 2021
- [c12]John Thorpe, Yifan Qiao, Jonathan Eyolfson, Shen Teng, Guanzhou Hu, Zhihao Jia, Jinliang Wei, Keval Vora, Ravi Netravali, Miryung Kim, Guoqing Harry Xu:
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads. OSDI 2021: 495-514 - [i8]John Thorpe, Yifan Qiao, Jonathan Eyolfson, Shen Teng, Guanzhou Hu, Zhihao Jia, Jinliang Wei, Keval Vora, Ravi Netravali, Miryung Kim, Guoqing Harry Xu:
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads. CoRR abs/2105.11118 (2021)
2010 – 2019
- 2019
- [c11]Jinliang Wei, Garth A. Gibson, Phillip B. Gibbons, Eric P. Xing:
Automating Dependence-Aware Parallelization of Machine Learning Training on Distributed Shared Memory. EuroSys 2019: 42:1-42:17 - [c10]Anand Jayarajan, Jinliang Wei, Garth Gibson, Alexandra Fedorova, Gennady Pekhimenko:
Priority-based Parameter Propagation for Distributed DNN Training. SysML 2019 - [i7]Anand Jayarajan, Jinliang Wei, Garth Gibson, Alexandra Fedorova, Gennady Pekhimenko:
Priority-based Parameter Propagation for Distributed DNN Training. CoRR abs/1905.03960 (2019) - 2017
- [c9]Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing:
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. USENIX ATC 2017: 181-193 - [i6]Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing:
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters. CoRR abs/1706.03292 (2017) - 2016
- [c8]Aaron Harlap, Henggang Cui, Wei Dai, Jinliang Wei, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing:
Addressing the straggler problem for iterative convergent parallel ML. SoCC 2016: 98-111 - 2015
- [j1]Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar
, Yaoliang Yu:
Petuum: A New Platform for Distributed Machine Learning on Big Data. IEEE Trans. Big Data 1(2): 49-67 (2015) - [c7]Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing:
High-Performance Distributed ML at Scale through Parameter Server Consistency Models. AAAI 2015: 79-87 - [c6]Jinliang Wei, Wei Dai, Aurick Qiao, Qirong Ho, Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing:
Managed communication and consistency for fast data-parallel iterative analytics. SoCC 2015: 381-394 - [c5]Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu:
Petuum: A New Platform for Distributed Machine Learning on Big Data. KDD 2015: 1335-1344 - [c4]Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric Poe Xing, Tie-Yan Liu, Wei-Ying Ma:
LightLDA: Big Topic Models on Modest Computer Clusters. WWW 2015: 1351-1361 - [i5]Hao Zhang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Gunhee Kim, Qirong Ho, Eric P. Xing:
Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines. CoRR abs/1512.06216 (2015) - 2014
- [c3]Henggang Cui, Alexey Tumanov, Jinliang Wei, Lianghong Xu, Wei Dai, Jesse Haber-Kucharsky, Qirong Ho, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing:
Exploiting iterative-ness for parallel ML computations. SoCC 2014: 5:1-5:14 - [c2]Henggang Cui, James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Abhimanu Kumar, Jinliang Wei, Wei Dai, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing:
Exploiting Bounded Staleness to Speed Up Big Data Analytics. USENIX ATC 2014: 37-48 - [i4]Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing:
High-Performance Distributed ML at Scale through Parameter Server Consistency Models. CoRR abs/1410.8043 (2014) - [i3]Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric P. Xing, Tie-Yan Liu, Wei-Ying Ma:
LightLDA: Big Topic Models on Modest Compute Clusters. CoRR abs/1412.1576 (2014) - 2013
- [i2]Wei Dai, Jinliang Wei, Xun Zheng, Jin Kyu Kim, Seunghak Lee, Junming Yin, Qirong Ho, Eric P. Xing:
Petuum: A Framework for Iterative-Convergent Distributed ML. CoRR abs/1312.7651 (2013) - [i1]Jinliang Wei, Wei Dai, Abhimanu Kumar, Xun Zheng, Qirong Ho, Eric P. Xing:
Consistent Bounded-Asynchronous Parameter Servers for Distributed ML. CoRR abs/1312.7869 (2013) - 2011
- [c1]Xin Sun, Jinliang Wei, Sanjay G. Rao, Geoffrey G. Xie:
A software toolkit for visualizing enterprise routing design. SafeConfig 2011
Coauthor Index
aka: Eric Poe Xing
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