| 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 | 517 | 2015 |
| 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 | 259 | 2009 |
| 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 | 68 | 2012 |
| 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 | 55 | 2011 |
| 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 | 47 | 2012 |
| 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 | 40 | 2018 |
| 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 | 39 | 2017 |
| 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 | 37 | 2011 |
| 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 | 27 | 2019 |
| 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 | 26 | 2018 |
| 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 | 25 | 2015 |
| 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 | 22 | 2020 |
| 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 | 21 | 2019 |
| 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 | 19 | 2019 |
| 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 | 19 | 2015 |
| 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 | 18 | 2020 |
| 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 | 18 | 2017 |
| 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 | 18 | 2016 |
| 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 | 17 | 2020 |
Steven R. YoungOak Ridge National Laboratory在 ornl.gov 的电子邮件经过验证
