Jinliang Wei

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 9

Top Topics

Hierarchical Bayesian Model

Top Venues

USENIX Annual Technical Conference

Publications

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)
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 (2021)
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)
Anand Jayarajan, Jinliang Wei, Garth Gibson, Alexandra Fedorova, Gennady Pekhimenko
Priority-based Parameter Propagation for Distributed DNN Training. MLSys (2019)
Anand Jayarajan, Jinliang Wei, Garth Gibson, Alexandra Fedorova, Gennady Pekhimenko
Priority-based Parameter Propagation for Distributed DNN Training. CoRR (2019)
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)
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 (2017)
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 Annual Technical Conference (2017)
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)
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 (2015)
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)
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)
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) (2015)
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)
Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric Po Xing, Tie-Yan Liu, Wei-Ying Ma
LightLDA: Big Topic Models on Modest Computer Clusters. WWW (2015)
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 (2014)
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 Annual Technical Conference (2014)
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)
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 (2014)
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 (2013)
Jinliang Wei, Wei Dai, Abhimanu Kumar, Xun Zheng, Qirong Ho, Eric P. Xing
Consistent Bounded-Asynchronous Parameter Servers for Distributed ML. CoRR (2013)
Xin Sun, Jinliang Wei, Sanjay G. Rao, Geoffrey G. Xie
A software toolkit for visualizing enterprise routing design. SafeConfig (2011)