Jin Kyu Kim
Cited by
Cited by
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
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
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
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
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
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
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
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
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
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
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
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
STRADS-AP: Simplifying Distributed Machine Learning Programming
JK Kim, GA Gibson, EP Xing
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