Seung-Hwan Lim

68 papers A* 3A 9B 8C 4Misc 1Journal 13Unranked 30

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Inference Scaled GraphRAG: Improving Multi Hop Question Answering on Knowledge Graphs. CoRR Travis Thompson, Seung-Hwan Lim, Paul Liu, Ruoying He, Dongkuan Xu
2025	—	`conf`	Spa: Scaling Graph Neural Network Training on Large graphs via Probabilistic splitting. MLSys Sandeep Polisetty, Juelin Liu, Yi Fung, Seung-Hwan Lim, Hui Guan, Marco Serafini
2024	J	`jnl`	Enhancing Empathy in Virtual Reality: An Embodied Approach to Mindset Modulation. CoRR Seoyeon Bae, Yoon Kyung Lee, Jungcheol Lee, Jaeheon Kim, Haeseong Jeon, Seung-Hwan Lim, Byung-Cheol Kim, Sowon Hahn
2024	—	`conf`	Explaining Neural Spike Activity for Simulated Bio-plausible Network through Deep Sequence Learning. NICE Shruti R. Kulkarni, Anika Tabassum, Seung-Hwan Lim, Catherine D. Schuman, Bradley H. Theilman, Fred Rothganger, Felix Wang, James B. Aimone
2024	—	`conf`	SNNVis: Visualizing Graph Embedding of Evolutionary Optimization for Spiking Neural Networks. ICONS Junghoon Chae, Seung-Hwan Lim, Shruti R. Kulkarni, Catherine D. Schuman
2024	J	`jnl`	Scaling neural simulations in STACS. Neuromorph. Comput. Eng. Felix Wang, Shruti R. Kulkarni, Bradley H. Theilman, Fredrick H. Rothganger, Catherine D. Schuman, Seung-Hwan Lim, James B. Aimone
2023	J	`jnl`	Attention for Causal Relationship Discovery from Biological Neural Dynamics. CoRR Ziyu Lu, Anika Tabassum, Shruti R. Kulkarni, Lu Mi, J. Nathan Kutz, Eric Shea-Brown, Seung-Hwan Lim
2023	—	`conf`	Efficient graph representation framework for chemical molecule similarity tasks. AIKE Jiaji Ma, Seung-Hwan Lim
2023	J	`jnl`	GSplit: Scaling Graph Neural Network Training on Large Graphs via Split-Parallelism. CoRR Sandeep Polisetty, Juelin Liu, Kobi Falus, Yi Ren Fung, Seung-Hwan Lim, Hui Guan, Marco Serafini
2023	C	`conf`	Hyperparameter Optimization and Feature Inclusion in Graph Neural Networks for Spiking Implementation. ICMLA Guojing Cong, Shruti R. Kulkarni, Seung-Hwan Lim, Prasanna Date, Shay Snyder, Maryam Parsa, Dominic Kennedy, Catherine D. Schuman
2023	A	`conf`	UnifyFS: A User-level Shared File System for Unified Access to Distributed Local Storage. IPDPS Michael J. Brim, Adam T. Moody, Seung-Hwan Lim, Ross G. Miller, Swen Boehm, Cameron Stanavige, Kathryn M. Mohror, Sarp Oral
2022	—	`conf`	Augmenting Graph Convolution with Distance Preserving Embedding for Improved Learning. ICDM (Workshops) Guojing Cong, Seung-Hwan Lim, Steven Young
2022	J	`jnl`	Community Fabric: Visualizing communities and structure in dynamic networks. Inf. Vis. Evan Ezell, Seung-Hwan Lim, David Anderson, Robert N. Stewart
2022	A	`conf`	Exaflops Biomedical Knowledge Graph Analytics. SC 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	—	`conf`	Neuromorphic Computing for Scientific Applications. RSDHA@SC 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
2022	—	`conf`	Semi-Supervised Graph Structure Learning on Neuromorphic Computers. ICONS Guojing Cong, Seung-Hwan Lim, Shruti R. Kulkarni, Prasanna Date, Thomas E. Potok, Shay Snyder, Maryam Parsa, Catherine D. Schuman
2021	—	`conf`	Performance Profile of Transformer Fine-Tuning in Multi-GPU Cloud Environments. IEEE BigData Edmon Begoli, Seung-Hwan Lim, Sudarshan Srinivasan
2021	B	`conf`	Revisit the Scalability of Deep Auto-Regressive Models for Graph Generation. IJCNN Shuai Yang, Xipeng Shen, Seung-Hwan Lim
2021	B	`conf`	Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing. SMC Pravallika Devineni, Panchapakesan Ganesh, Nikhil Sivadas, Abhijeet Dhakane, Ketan Maheshwari, Drahomira Herrmannova, Ramakrishnan Kannan, Seung-Hwan Lim, Thomas E. Potok, Jordan B. Chipka, Priyantha Mudalige, Mark Coletti, Sajal Dash, Arnab Kumar Paul, Sarp Oral, Feiyi Wang, Bill Kay, Melissa R. Allen-Dumas, Christa Brelsford, Joshua R. New, Andy Berres, Kuldeep R. Kurte, Jibonananda Sanyal, Levi Sweet, Chathika Gunaratne, Maxim A. Ziatdinov, Rama K. Vasudevan, Sergei V. Kalinin, Olivera Kotevska, Jean C. Bilheux, Hassina Z. Bilheux, Garrett E. Granroth, Thomas Proffen, Rick Riedel, Peter F. Peterson, Shruti R. Kulkarni, Kyle P. Kelley, Stephen Jesse, Maryam Parsa
2021	—	`conf`	Versatile feature learning with graph convolutions and graph structures. ICDM (Workshops) Guojing Cong, Seung-Hwan Lim
2021	—	`conf`	Visual Understanding of COVID-19 Knowledge Graph for Predictive Analysis. IEEE BigData Seung-Hwan Lim, Junghoon Chae, Guojing Cong, Drahomira Herrmannova, Robert M. Patton, Ramakrishnan Kannan, Thomas E. Potok
2020	J	`jnl`	An Integrated Indexing and Search Service for Distributed File Systems. IEEE Trans. Parallel Distributed Syst. Hyogi Sim, Awais Khan, Sudharshan S. Vazhkudai, Seung-Hwan Lim, Ali Raza Butt, Youngjae Kim
2020	—	`conf`	FLEET: Flexible Efficient Ensemble Training for Heterogeneous Deep Neural Networks. MLSys Hui Guan, Laxmikant Kishor Mokadam, Xipeng Shen, Seung-Hwan Lim, Robert M. Patton
2020	B	`conf`	Infrastructure-Aware TensorFlow for Heterogeneous Datacenters. MASCOTS Moiz Arif, M. Mustafa Rafique, Seung-Hwan Lim, Zaki Malik
2020	B	`conf`	MARBLE: A Multi-GPU Aware Job Scheduler for Deep Learning on HPC Systems. CCGRID Jingoo Han, M. Mustafa Rafique, Luna Xu, Ali Raza Butt, Seung-Hwan Lim, Sudharshan S. Vazhkudai
2020	B	`conf`	Toward Large-Scale Image Segmentation on Summit. ICPP Sudip K. Seal, Seung-Hwan Lim, Dali Wang, Jacob D. Hinkle, Dalton D. Lunga, Aristeidis Tsaris
2020	A	`conf`	Understanding the Interplay between Hardware Errors and User Job Characteristics on the Titan Supercomputer. IPDPS Seung-Hwan Lim, Ross G. Miller, Sudharshan S. Vazhkudai
2019	C	`conf`	A Quantitative Study of Deep Learning Training on Heterogeneous Supercomputers. CLUSTER Jingoo Han, Luna Xu, M. Mustafa Rafique, Ali Raza Butt, Seung-Hwan Lim
2019	—	`conf`	Exascale Deep Learning to Accelerate Cancer Research. IEEE BigData Robert M. Patton, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou
2019	J	`jnl`	Exascale Deep Learning to Accelerate Cancer Research. CoRR Robert M. Patton, J. Travis Johnston, Steven R. Young, Catherine D. Schuman, Thomas E. Potok, Derek C. Rose, Seung-Hwan Lim, Junghoon Chae, Le Hou, Shahira Abousamra, Dimitris Samaras, Joel H. Saltz
2019	A*	`conf`	In-Place Zero-Space Memory Protection for CNN. NeurIPS Hui Guan, Lin Ning, Zhen Lin, Xipeng Shen, Huiyang Zhou, Seung-Hwan Lim
2019	J	`jnl`	In-Place Zero-Space Memory Protection for CNN. CoRR Hui Guan, Lin Ning, Zhen Lin, Xipeng Shen, Huiyang Zhou, Seung-Hwan Lim
2019	A*	`conf`	Wootz: a compiler-based framework for fast CNN pruning via composability. PLDI Hui Guan, Xipeng Shen, Seung-Hwan Lim
2018	A	`conf`	167-PFlops deep learning for electron microscopy: from learning physics to atomic manipulation. SC 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	C	`conf`	A Heterogeneity-Aware Task Scheduler for Spark. CLUSTER Luna Xu, Ali Raza Butt, Seung-Hwan Lim, Ramakrishnan Kannan
2018	A	`conf`	Exploring flexible communications for streamlining DNN ensemble training pipelines. SC Randall Pittman, Hui Guan, Xipeng Shen, Seung-Hwan Lim, Robert M. Patton
2018	—	`conf`	SORA: Scalable Overlap-graph Reduction Algorithms for Genome Assembly using Apache Spark in the Cloud. BIBM Alexander J. Paul, Dylan Lawrence, Myoungkyu Song, Seung-Hwan Lim, Chongle Pan, Tae-Hyuk Ahn
2017	J	`jnl`	A quantitative model of application slow-down in multi-resource shared systems. Perform. Evaluation Seung-Hwan Lim, Youngjae Kim
2017	—	`conf`	Scaling up data-parallel analytics platforms: Linear algebraic operation cases. IEEE BigData Luna Xu, Seung-Hwan Lim, Min Li, Ali Raza Butt, Ramakrishnan Kannan
2017	A	`conf`	Scientific user behavior and data-sharing trends in a petascale file system. SC Seung-Hwan Lim, Hyogi Sim, Raghul Gunasekaran, Sudharshan S. Vazhkudai
2017	A	`conf`	Tagit: an integrated indexing and search service for file systems. SC Hyogi Sim, Youngjae Kim, Sudharshan S. Vazhkudai, Geoffroy R. Vallée, Seung-Hwan Lim, Ali Raza Butt
2016	—	`conf`	Constellation: A science graph network for scalable data and knowledge discovery in extreme-scale scientific collaborations. IEEE BigData Sudharshan S. Vazhkudai, John Harney, Raghul Gunasekaran, Dale Stansberry, Seung-Hwan Lim, Tom Barron, Andrew Nash, Arvind Ramanathan
2016	J	`jnl`	Enabling graph mining in RDF triplestores using SPARQL for holistic in-situ graph analysis. Expert Syst. Appl. SangKeun Lee, Sreenivas R. Sukumar, Seokyong Hong, Seung-Hwan Lim
2016	A	`conf`	Evaluation of Pattern Matching Workloads in Graph Analysis Systems. HPDC Seokyong Hong, SangKeun Lee, Seung-Hwan Lim, Sreenivas R. Sukumar, Ranga Raju Vatsavai
2016	—	`conf`	FatMan vs. LittleBoy: Scaling Up Linear Algebraic Operations in Scale-Out Data Platforms. PDSW-DISCS@SC Luna Xu, Seung-Hwan Lim, Ali Raza Butt, Sreenivas R. Sukumar, Ramakrishnan Kannan
2016	—	`conf`	Kernels for scalable data analysis in science: Towards an architecture-portable future. IEEE BigData Sreenivas R. Sukumar, Ramakrishnan Kannan, Seung-Hwan Lim, Michael A. Matheson
2016	—	`conf`	Mini-apps for high performance data analysis. IEEE BigData Sreenivas R. Sukumar, Michael A. Matheson, Ramakrishnan Kannan, Seung-Hwan Lim
2016	—	`conf`	On-demand data analytics in HPC environments at leadership computing facilities: Challenges and experiences. IEEE BigData John Harney, Seung-Hwan Lim, Sreenivas R. Sukumar, Dale Stansberry, Peter Xenopoulos
2015	B	`conf`	Graph Processing Platforms at Scale: Practices and Experiences. ISPASS Seung-Hwan Lim, SangKeun Lee, Gautam Ganesh, Tyler C. Brown, Sreenivas R. Sukumar
2015	—	`conf`	Graph mining meets the Semantic Web. ICDE Workshops SangKeun Lee, Sreenivas R. Sukumar, Seung-Hwan Lim
2015	—	`conf`	Optimizing deep learning hyper-parameters through an evolutionary algorithm. MLHPC@SC Steven R. Young, Derek C. Rose, Thomas P. Karnowski, Seung-Hwan Lim, Robert M. Patton
2015	—	`conf`	Table2Graph: A Scalable Graph Construction from Relational Tables Using Map-Reduce. BigDataService SangKeun Lee, Byung H. Park, Seung-Hwan Lim, Mallikarjun Shankar
2014	—	`conf`	Analyzing Reliability of Virtual Machine Instances with Dynamic Pricing in the Public Cloud. IPDPS Workshops Seung-Hwan Lim, Gautam S. Thakur, James L. Horey
2013	—	`conf`	Performance Implications from Sizing a VM on Multi-core Systems: A Data Analytic Application's View. IPDPS Workshops Seung-Hwan Lim, James L. Horey, Yanjun Yao, Edmon Begoli, Qing Cao
2012	—	`conf`	A Topic-Oriented Analysis of Information Diffusion in a Blogosphere. DEXA (2) Kyu-Hwang Kang, Seung-Hwan Lim, Sang-Wook Kim, Min-Hee Jang, Byeong-Soo Jeong
2012	—	`conf`	Big Data Platforms as a Service: Challenges and Approach. HotCloud James L. Horey, Edmon Begoli, Raghul Gunasekaran, Seung-Hwan Lim, James J. Nutaro
2012	A*	`conf`	D-factor: a quantitative model of application slow-down in multi-resource shared systems. SIGMETRICS Seung-Hwan Lim, Jae-Seok Huh, Youngjae Kim, Galen M. Shipman, Chita R. Das
2012	—	`conf`	MROrchestrator: A Fine-Grained Resource Orchestration Framework for MapReduce Clusters. IEEE CLOUD Bikash Sharma, Ramya Prabhakar, Seung-Hwan Lim, Mahmut T. Kandemir, Chita R. Das
2011	B	`conf`	A dynamic energy management scheme for multi-tier data centers. ISPASS Seung-Hwan Lim, Bikash Sharma, Byung-Chul Tak, Chita R. Das
2011	Misc	`conf`	Construction of a blog network based on information diffusion. SAC Seung-Hwan Lim, Sang-Wook Kim, Soyoun Kim, Sanghyun Park
2011	J	`jnl`	Determining Content Power Users in a Blog Network: An Approach and Its Applications. IEEE Trans. Syst. Man Cybern. Part A Seung-Hwan Lim, Sang-Wook Kim, Sunju Park, Joon Ho Lee
2011	—	`conf`	Migration, Assignment, and Scheduling of Jobs in Virtualized Environment. HotCloud Seung-Hwan Lim, Jae-Seok Huh, Youngjae Kim, Chita R. Das
2009	A	`conf`	Clock-like Flow Replacement Schemes for Resilient Flow Monitoring. ICDCS Gunwoo Nam, Pushkar Patankar, Seung-Hwan Lim, Bikash Sharma, George Kesidis, Chita R. Das
2009	—	`conf`	Determining content power users in a blog network. SNAKDD Seung-Hwan Lim, Sang-Wook Kim, Sunju Park, Joon Ho Lee
2009	C	`conf`	MDCSim: A multi-tier data center simulation, platform. CLUSTER Seung-Hwan Lim, Bikash Sharma, Gunwoo Nam, Eun-Kyoung Kim, Chita R. Das
2009	—	`conf`	The information diffusion model in the blog world. SNAKDD Yong-Suk Kwon, Sang-Wook Kim, Sunju Park, Seung-Hwan Lim, Jae Bum Lee
2007	J	`jnl`	Using multiple indexes for efficient subsequence matching in time-series databases. Inf. Sci. Seung-Hwan Lim, Heejin Park, Sang-Wook Kim
2006	B	`conf`	Using Multiple Indexes for Efficient Subsequence Matching in Time-Series Databases. DASFAA Seung-Hwan Lim, Heejin Park, Sang-Wook Kim