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Seung-Hwan Lim
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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
4132015
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
2472009
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
73*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
672012
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
492011
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
452012
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
372011
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
332017
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
322018
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
212017
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
202018
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
172019
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
172015
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
172015
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
162016
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
152019
Enabling graph mining in RDF triplestores using SPARQL for holistic in-situ graph analysis
S Lee, SR Sukumar, S Hong, SH Lim
Expert Systems with Applications 48, 9-25, 2016
152016
Constellation: A Science Graph Network for Scalable Data and Knowledge Discovery in Extreme-Scale Scientific Collaborations
SS Vazhkudai, J Harney, R Gunasekaran, D Stansberry, SH Lim, T Barron, ...
Proceedings of IEEE Workshop on Big Data Metadata and Management (BDMM '2016), 2016
142016
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
132020
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
122020
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Articles 1–20