Seung-Hwan Lim
Title
Cited by
Cited by
Year
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
3182015
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
2342009
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
72*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
642012
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
472011
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
442012
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
362011
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
262018
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
262017
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
162015
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
162015
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
132016
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
132016
In-place zero-space memory protection for cnn
H Guan, L Ning, Z Lin, X Shen, H Zhou, SH Lim
arXiv preprint arXiv:1910.14479, 2019
122019
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
112018
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
112017
Scaling Up Data-Parallel Analytics Platforms: Linear Algebraic Operation Cases
L Xu, SH Lim, M Li, AR Butt, R Kannan
2017 IEEE International Conference on Big Data (Big Data), 273-282, 2017
92017
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
92016
A quantitative study of deep learning training on heterogeneous supercomputers
J Han, L Xu, MM Rafique, AR Butt, SH Lim
2019 IEEE International Conference on Cluster Computing (CLUSTER), 1-12, 2019
82019
Mini-apps for high performance data analysis
SR Sukumar, MA Matheson, R Kannan, SH Lim
2016 IEEE International Conference on Big Data (Big Data), 1483-1492, 2016
82016
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Articles 1–20