Jinliang Wei

According to our database, Jinliang Wei authored at least 17 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Overlap Communication with Dependent Computation via Decomposition in Large Deep Learning Models.

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

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2021

Dorylus: Affordable, Scalable, and Accurate GNN Training with Distributed CPU Servers and Serverless Threads.

John Thorpe, Yifan Qiao, Jonathan Eyolfson, Shen Teng, Guanzhou Hu, Zhihao Jia, Jinliang Wei, Keval Vora, Ravi Netravali, Miryung Kim, Guoqing Harry Xu

Proceedings of the 15th USENIX Symposium on Operating Systems Design and Implementation, 2021

2019

Priority-based Parameter Propagation for Distributed DNN Training.

Anand Jayarajan, Jinliang Wei, Garth Gibson, Alexandra Fedorova, Gennady Pekhimenko

Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

Automating Dependence-Aware Parallelization of Machine Learning Training on Distributed Shared Memory.

Jinliang Wei, Garth A. Gibson, Phillip B. Gibbons, Eric P. Xing

Proceedings of the Fourteenth EuroSys Conference 2019, Dresden, Germany, March 25-28, 2019, 2019

2017

Poseidon: An Efficient Communication Architecture for Distributed Deep Learning on GPU Clusters.

Hao Zhang, Zeyu Zheng, Shizhen Xu, Wei Dai, Qirong Ho, Xiaodan Liang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Eric P. Xing

Proceedings of the 2017 USENIX Annual Technical Conference, 2017

2016

Addressing the straggler problem for iterative convergent parallel ML.

Aaron Harlap, Henggang Cui, Wei Dai, Jinliang Wei, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing

Proceedings of the Seventh ACM Symposium on Cloud Computing, 2016

2015

Petuum: A New Platform for Distributed Machine Learning on Big Data.

Eric P. Xing, Qirong Ho, Wei Dai, Jin Kyu Kim, Jinliang Wei, Seunghak Lee, Xun Zheng, Pengtao Xie, Abhimanu Kumar, Yaoliang Yu

IEEE Trans. Big Data, 2015

Poseidon: A System Architecture for Efficient GPU-based Deep Learning on Multiple Machines.

Hao Zhang, Zhiting Hu, Jinliang Wei, Pengtao Xie, Gunhee Kim, Qirong Ho, Eric P. Xing

CoRR, 2015

LightLDA: Big Topic Models on Modest Computer Clusters.

Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric Poe Xing, Tie-Yan Liu, Wei-Ying Ma

Proceedings of the 24th International Conference on World Wide Web, 2015

Managed communication and consistency for fast data-parallel iterative analytics.

Jinliang Wei, Wei Dai, Aurick Qiao, Qirong Ho, Henggang Cui, Gregory R. Ganger, Phillip B. Gibbons, Garth A. Gibson, Eric P. Xing

Proceedings of the Sixth ACM Symposium on Cloud Computing, 2015

High-Performance Distributed ML at Scale through Parameter Server Consistency Models.

Wei Dai, Abhimanu Kumar, Jinliang Wei, Qirong Ho, Garth A. Gibson, Eric P. Xing

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

LightLDA: Big Topic Models on Modest Compute Clusters.

Jinhui Yuan, Fei Gao, Qirong Ho, Wei Dai, Jinliang Wei, Xun Zheng, Eric P. Xing, Tie-Yan Liu, Wei-Ying Ma

CoRR, 2014

Exploiting Bounded Staleness to Speed Up Big Data Analytics.

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

Proceedings of the 2014 USENIX Annual Technical Conference, 2014

Exploiting iterative-ness for parallel ML computations.

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

Proceedings of the ACM Symposium on Cloud Computing, 2014

2013

Consistent Bounded-Asynchronous Parameter Servers for Distributed ML.

Jinliang Wei, Wei Dai, Abhimanu Kumar, Xun Zheng, Qirong Ho, Eric P. Xing

CoRR, 2013

Petuum: A Framework for Iterative-Convergent Distributed ML.

Wei Dai, Jinliang Wei, Xun Zheng, Jin Kyu Kim, Seunghak Lee, Junming Yin, Qirong Ho, Eric P. Xing

CoRR, 2013

2011

A software toolkit for visualizing enterprise routing design.

Xin Sun, Jinliang Wei, Sanjay G. Rao, Geoffrey G. Xie

Proceedings of the 4th Symposium on Configuration Analytics and Automation, SafeConfig 2011, Arlington, VA, USA, October 31, 2011