| More effective distributed ml via a stale synchronous parallel parameter server Q Ho, J Cipar, H Cui, JK Kim, S Lee, PB Gibbons, GA Gibson, GR Ganger, ... Advances in neural information processing systems 2013, 1223, 2013 | 922 | 2013 |
| Petuum: A new platform for distributed machine learning on big data EP Xing, Q Ho, W Dai, JK Kim, J Wei, S Lee, X Zheng, P Xie, A Kumar, ... Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015 | 620 | 2015 |
| Exploiting bounded staleness to speed up big data analytics H Cui, J Cipar, Q Ho, JK Kim, S Lee, A Kumar, J Wei, W Dai, GR Ganger, ... 2014 {USENIX} Annual Technical Conference ({USENIX}{ATC} 14), 37-48, 2014 | 204 | 2014 |
| Solving the straggler problem with bounded staleness J Cipar, Q Ho, JK Kim, S Lee, GR Ganger, G Gibson, K Keeton, E Xing Presented as part of the 14th Workshop on Hot Topics in Operating Systems, 2013 | 172 | 2013 |
| On model parallelization and scheduling strategies for distributed machine learning S Lee, JK Kim, X Zheng, Q Ho, GA Gibson, EP Xing Advances in neural information processing systems, 2834-2842, 2014 | 158 | 2014 |
| A PRAM and NAND flash hybrid architecture for high-performance embedded storage subsystems JK Kim, HG Lee, S Choi, KI Bahng Proceedings of the 8th ACM international conference on Embedded software, 31-40, 2008 | 136 | 2008 |
| STRADS: a distributed framework for scheduled model parallel machine learning JK Kim, Q Ho, S Lee, X Zheng, W Dai, GA Gibson, EP Xing Proceedings of the Eleventh European Conference on Computer Systems, 5, 2016 | 103 | 2016 |
| Petuum: A framework for iterative-convergent distributed ml W Dai, J Wei, JK Kim, S Lee, J Yin, Q Ho, E P Xing figshare, 2013 | 43 | 2013 |
| Cavs: An efficient runtime system for dynamic neural networks S Xu, H Zhang, G Neubig, W Dai, JK Kim, Z Deng, Q Ho, G Yang, EP Xing 2018 {USENIX} Annual Technical Conference ({USENIX}{ATC} 18), 937-950, 2018 | 28 | 2018 |
| Lighter-Communication Distributed Machine Learning via Sufficient Factor Broadcasting. P Xie, JK Kim, Y Zhou, Q Ho, A Kumar, Y Yu, EP Xing UAI, 2016 | 25 | 2016 |
| Orpheus: Efficient distributed machine learning via system and algorithm co-design P Xie, JK Kim, Q Ho, Y Yu, E Xing Proceedings of the ACM Symposium on Cloud Computing, 1-13, 2018 | 14 | 2018 |
| STRADS-AP: simplifying distributed machine learning programming without introducing a new programming model JK Kim, A Aghayev, GA Gibson, EP Xing 2019 {USENIX} Annual Technical Conference ({USENIX}{ATC} 19), 207-222, 2019 | 11 | 2019 |
| STRADS-AP: Simplifying Distributed Machine Learning Programming JK Kim, GA Gibson, EP Xing | | |
