Jinliang Wei

23 papers A* 4A 1Journal 9Unranked 9
YearRankTypeTitle / Venue / Authors
2024 — conf
Improving the Reliability of Wireless Pressure Sensors by Optimizing the Fabrication Process.
IEEE SENSORS
Jinliang Wei, Nomin-Erdene Oyunbaatar, Dong-Su Kim, Lei Wang, Yun-Jin Jeong, Dong-Weon Lee
2023 — conf
Overlap Communication with Dependent Computation via Decomposition in Large Deep Learning Models.
ASPLOS (1)
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
2021 A* conf
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads.
OSDI
John Thorpe, Yifan Qiao, Jonathan Eyolfson, Shen Teng, Guanzhou Hu, Zhihao Jia, Jinliang Wei, Keval Vora, Ravi Netravali, Miryung Kim, Guoqing Harry Xu
2021 J jnl
Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads.
CoRR
John Thorpe, Yifan Qiao, Jonathan Eyolfson, Shen Teng, Guanzhou Hu, Zhihao Jia, Jinliang Wei, Keval Vora, Ravi Netravali, Miryung Kim, Guoqing Harry Xu
2019 A conf
Automating Dependence-Aware Parallelization of Machine Learning Training on Distributed Shared Memory.
EuroSys
Jinliang Wei, Garth A. Gibson, Phillip B. Gibbons, Eric P. Xing
2019 — conf
Priority-based Parameter Propagation for Distributed DNN Training.
SysML
Anand Jayarajan, Jinliang Wei, Garth Gibson, Alexandra Fedorova, Gennady Pekhimenko
2019 J jnl
Priority-based Parameter Propagation for Distributed DNN Training.
CoRR
Anand Jayarajan, Jinliang Wei, Garth Gibson, Alexandra Fedorova, Gennady Pekhimenko
2017 — conf
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.
USENIX ATC
Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
2017 J jnl
Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.
CoRR
Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing
2016 — conf
Addressing the straggler problem for iterative convergent parallel ML.
SoCC
Aaron Harlap, Henggang Cui, Wei Dai, Jinliang Wei, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
2015 A* conf
High-Performance Distributed ML at Scale through Parameter Server Consistency Models.
AAAI
Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing
2015 A* conf
LightLDA: Big Topic Models on Modest Computer Clusters.
WWW
Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric Poe Xing, Tie-Yan Liu, Wei-Ying Ma
2015 — conf
Managed communication and consistency for fast data-parallel iterative analytics.
SoCC
Jinliang Wei, Wei Dai, Aurick Qiao, Qirong Ho, Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing
2015 A* conf
Petuum: A New Platform for Distributed Machine Learning on Big Data.
KDD
Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
2015 J jnl
Petuum: A New Platform for Distributed Machine Learning on Big Data.
IEEE Trans. Big Data
Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu
2015 J jnl
Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines.
CoRR
Hao Zhang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Gunhee Kim, Qirong Ho, Eric P. Xing
2014 — conf
Exploiting Bounded Staleness to Speed Up Big Data Analytics.
USENIX ATC
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
2014 — conf
Exploiting iterative-ness for parallel ML computations.
SoCC
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
2014 J jnl
High-Performance Distributed ML at Scale through Parameter Server Consistency Models.
CoRR
Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing
2014 J jnl
LightLDA: Big Topic Models on Modest Compute Clusters.
CoRR
Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric P. Xing, Tie-Yan Liu, Wei-Ying Ma
2013 J jnl
Consistent Bounded-Asynchronous Parameter Servers for Distributed ML.
CoRR
Jinliang Wei, Wei Dai, Abhimanu Kumar, Xun Zheng, Qirong Ho, Eric P. Xing
2013 J jnl
Petuum: A Framework for Iterative-Convergent Distributed ML.
CoRR
Wei Dai, Jinliang Wei, Xun Zheng, Jin Kyu Kim, Seunghak Lee, Junming Yin, Qirong Ho, Eric P. Xing
2011 — conf
A software toolkit for visualizing enterprise routing design.
SafeConfig
Xin Sun, Jinliang Wei, Sanjay G. Rao, Geoffrey G. Xie