Seung-Hwan Lim
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
29
Venues
18
Active years
2006–2023
Best venue rank
A*
Where they publish
Papers
29 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2023 | ICMLA | Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation. | Guojing Cong, Shruti R. Kulkarni, Seung-Hwan Lim, Prasanna Date, Shay Snyder, Maryam Parsa, Dominic Kennedy, Catherine D. Schuman |
| 2022 | ICDM | Augmenting Graph Convolution with Distance Preserving Embedding for Improved Learning. | Guojing Cong, Seung-Hwan Lim, Steven Young |
| 2022 | SC | Exaflops Biomedical Knowledge Graph Analytics. | Ramakrishnan Kannan, Piyush Sao, Hao Lu, Jakub Kurzak, Gundolf Schenk, Yongmei Shi, Seung-Hwan Lim, Sharat Israni, Vijay Thakkar, Guojing Cong, Robert M. Patton, Sergio E. Baranzini, Richard W. Vuduc, Thomas E. Potok |
| 2022 | SC | Neuromorphic Computing for Scientific Applications. | Robert M. Patton, Prasanna Date, Shruti R. Kulkarni, Chathika Gunaratne, Seung-Hwan Lim, Guojing Cong, Steven R. Young, Mark Coletti, Thomas E. Potok, Catherine D. Schuman |
| 2021 | IJCNN | Revisit the Scalability of Deep Auto-Regressive Models for Graph Generation. | Shuai Yang, Xipeng Shen, Seung-Hwan Lim |
| 2020 | CCGRID | MARBLE: A Multi-GPU Aware Job Scheduler for Deep Learning on HPC Systems. | Jingoo Han, M. Mustafa Rafique, Luna Xu, Ali Raza Butt, Seung-Hwan Lim, Sudharshan S. Vazhkudai |
| 2020 | ICPP | Toward Large-Scale Image Segmentation on Summit. | Sudip K. Seal, Seung-Hwan Lim, Dali Wang, Jacob D. Hinkle, Dalton D. Lunga, Aristeidis Tsaris |
| 2020 | MASCOTS | Infrastructure-Aware TensorFlow for Heterogeneous Datacenters. | Moiz Arif, M. Mustafa Rafique, Seung-Hwan Lim, Zaki Malik |
| 2019 | CLUSTER | A Quantitative Study of Deep Learning Training on Heterogeneous Supercomputers. | Jingoo Han, Luna Xu, M. Mustafa Rafique, Ali Raza Butt, Seung-Hwan Lim |
| 2019 | PLDI | Wootz: a compiler-based framework for fast CNN pruning via composability. | Hui Guan, Xipeng Shen, Seung-Hwan Lim |
| 2018 | CLUSTER | A Heterogeneity-Aware Task Scheduler for Spark. | Luna Xu, Ali Raza Butt, Seung-Hwan Lim, Ramakrishnan Kannan |
| 2018 | SC | 167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation. | Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Don D. March, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Thomas P. Karnowski, Maxim A. Ziatdinov, Sergei V. Kalinin |
| 2018 | SC | Exploring flexible communications for streamlining DNN ensemble training pipelines. | Randall Pittman, Hui Guan, Xipeng Shen, Seung-Hwan Lim, Robert M. Patton |
| 2017 | SC | Scientific user behavior and data-sharing trends in a petascale file system. | Seung-Hwan Lim, Hyogi Sim, Raghul Gunasekaran, Sudharshan S. Vazhkudai |
| 2017 | SC | Tagit: an integrated indexing and search service for file systems. | Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, Geoffroy R. Valle, Seung-Hwan Lim, Ali Raza Butt |
| 2016 | HPDC | Evaluation of Pattern Matching Workloads in Graph Analysis Systems. | Seokyong Hong, Sangkeun Lee, Seung-Hwan Lim, Sreenivas R. Sukumar, Ranga Raju Vatsavai |
| 2016 | SC | FatMan vs. LittleBoy: Scaling Up Linear Algebraic Operations in Scale-Out Data Platforms. | Luna Xu, Seung-Hwan Lim, Ali Raza Butt, Sreenivas R. Sukumar, Ramakrishnan Kannan |
| 2015 | ICDE | Graph mining meets the Semantic Web. | Sangkeun Lee, Sreenivas R. Sukumar, Seung-Hwan Lim |
| 2015 | ISPASS | Graph Processing Platforms at Scale: Practices and Experiences. | Seung-Hwan Lim, Sangkeun Lee, Gautam Ganesh, Tyler C. Brown, Sreenivas R. Sukumar |
| 2015 | SC | Optimizing deep learning hyper-parameters through an evolutionary algorithm. | Steven R. Young, Derek C. Rose, Thomas P. Karnowski, Seung-Hwan Lim, Robert M. Patton |
| 2012 | DEXA | A Topic-Oriented Analysis of Information Diffusion in a Blogosphere. | Kyu-Hwang Kang, Seung-Hwan Lim, Sang-Wook Kim, Min-Hee Jang, Byeong-Soo Jeong |
| 2012 | SIGMETRICS | D-factor: a quantitative model of application slow-down in multi-resource shared systems. | Seung-Hwan Lim, Jae-Seok Huh, Youngjae Kim, Galen M. Shipman, Chita R. Das |
| 2011 | ISPASS | A dynamic energy management scheme for multi-tier data centers. | Seung-Hwan Lim, Bikash Sharma, Byung-Chul Tak, Chita R. Das |
| 2011 | SAC | Construction of a blog network based on information diffusion. | Seung-Hwan Lim, Sang-Wook Kim, Soyoun Kim, Sanghyun Park |
| 2009 | CLUSTER | MDCSim: A multi-tier data center simulation, platform. | Seung-Hwan Lim, Bikash Sharma, Gunwoo Nam, Eun-Kyoung Kim, Chita R. Das |
| 2009 | ICDCS | Clock-like Flow Replacement Schemes for Resilient Flow Monitoring. | Gunwoo Nam, Pushkar Patankar, Seung-Hwan Lim, Bikash Sharma, George Kesidis, Chita R. Das |
| 2009 | KDD | The information diffusion model in the blog world. | Yong-Suk Kwon, Sang-Wook Kim, Sunju Park, Seung-Hwan Lim, Jae Bum Lee |
| 2009 | KDD | Determining content power users in a blog network. | Seung-Hwan Lim, Sang-Wook Kim, Sunju Park, Joon Ho Lee |
| 2006 | DASFAA | Using Multiple Indexes for Efficient Subsequence Matching in Time-Series Databases. | Seung-Hwan Lim, Heejin Park, Sang-Wook Kim |