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Seung-Hwan Lim
Tytuł
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Optimizing deep learning hyper-parameters through an evolutionary algorithm
SR Young, DC Rose, TP Karnowski, SH Lim, RM Patton
Proceedings of the workshop on machine learning in high-performance …, 2015
5572015
MDCSim: A multi-tier data center simulation, platform
SH Lim, B Sharma, G Nam, EK Kim, CR Das
2009 IEEE International Conference on Cluster Computing and Workshops, 1-9, 2009
2662009
Mrorchestrator: A fine-grained resource orchestration framework for mapreduce clusters
B Sharma, R Prabhakar, SH Lim, MT Kandemir, CR Das
2012 IEEE Fifth International Conference on Cloud Computing, 1-8, 2012
75*2012
D-factor: a quantitative model of application slow-down in multi-resource shared systems
SH Lim, JS Huh, Y Kim, GM Shipman, CR Das
ACM SIGMETRICS Performance Evaluation Review 40 (1), 271-282, 2012
702012
Migration, assignment, and scheduling of jobs in virtualized environment
SH Lim, JS Huh, Y Kim, CR Das
Proceedings of the 3rd USENIX conference on Hot Topics in Cloud Ccomputing, 2011
562011
Big data platforms as a service: challenges and approach
J Horey, E Begoli, R Gunasekaran, SH Lim, J Nutaro
Proceedings of the 4th USENIX conference on Hot Topics in Cloud Ccomputing, 2012
472012
167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation
RM Patton, MA Ziatdinov, SV Kalinin, JT Johnston, SR Young, ...
Proceedings of the International Conference for High Performance Computing …, 2018
402018
Tagit: an integrated indexing and search service for file systems
H Sim, Y Kim, SS Vazhkudai, GR Vallée, SH Lim, AR Butt
Proceedings of the International Conference for High Performance Computing …, 2017
392017
A dynamic energy management scheme for multi-tier data centers
SH Lim, B Sharma, BC Tak, CR Das
(IEEE ISPASS) IEEE International Symposium on Performance Analysis of …, 2011
382011
In-place zero-space memory protection for cnn
H Guan, L Ning, Z Lin, X Shen, H Zhou, SH Lim
Advances in Neural Information Processing Systems 32, 2019
332019
A heterogeneity-aware task scheduler for spark
L Xu, AR Butt, SH Lim, R Kannan
2018 IEEE International Conference on Cluster Computing (CLUSTER), 245-256, 2018
302018
Table2graph: A scalable graph construction from relational tables using map-reduce
S Lee, BH Park, SH Lim, M Shankar
2015 IEEE First International Conference on Big Data Computing Service and …, 2015
272015
An integrated indexing and search service for distributed file systems
H Sim, A Khan, SS Vazhkudai, SH Lim, AR Butt, Y Kim
IEEE Transactions on Parallel and Distributed Systems 31 (10), 2375-2391, 2020
242020
A quantitative study of deep learning training on heterogeneous supercomputers
J Han, L Xu, M Rafique, AR Butt, SH Lim
Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States), 2019
232019
Exascale deep learning to accelerate cancer research
RM Patton, JT Johnston, SR Young, CD Schuman, TE Potok, DC Rose, ...
2019 IEEE International Conference on Big Data (Big Data), 1488-1496, 2019
222019
Marble: A multi-gpu aware job scheduler for deep learning on hpc systems
J Han, MM Rafique, L Xu, AR Butt, SH Lim, SS Vazhkudai
2020 20th IEEE/ACM International Symposium on Cluster, Cloud and Internet …, 2020
212020
Scientific user behavior and data-sharing trends in a petascale file system
SH Lim, H Sim, R Gunasekaran, SS Vazhkudai
Proceedings of the International Conference for High Performance Computing …, 2017
202017
Fleet: Flexible efficient ensemble training for heterogeneous deep neural networks
H Guan, LK Mokadam, X Shen, SH Lim, R Patton
Proceedings of Machine Learning and Systems 2, 247-261, 2020
192020
An analysis of image storage systems for scalable training of deep neural networks
SH Lim, S Young, R Patton
The Seventh workshop on Big Data Benchmarks, Performance Optimization, and …, 2016
192016
Graph processing platforms at scale: Practices and experiences
SH Lim, S Lee, G Ganesh, TC Brown, SR Sukumar
2015 IEEE International Symposium on Performance Analysis of Systems and …, 2015
192015
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