Jong Youl Choi

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 35

Top Topics

Top Venues

Concurr. Comput. Pract. Exp.

Publications

Massimiliano Lupo Pasini, Jong Youl Choi, Kshitij Mehta, Pei Zhang, David Rogers, Jonghyun Bae, Khaled Z. Ibrahim, Ashwin M. Aji, Karl W. Schulz, Jorda Polo, Prasanna Balaprakash
Scalable Training of Graph Foundation Models for Atomistic Materials Modeling: A Case Study with HydraGNN. CoRR (2024)
Jonghyun Bae, Jong Youl Choi, Massimiliano Lupo Pasini, Kshitij Mehta, Khaled Z. Ibrahim
MDLoader: A Hybrid Model-driven Data Loader for Distributed Deep Neural Networks Training. IPDPS (Workshops) (2024)
Gang Seob Jung, Sangkeun Lee, Jong Youl Choi
Data Distillation for Neural Network Potentials toward Foundational Dataset. CoRR (2023)
Jong Youl Choi, Massimiliano Lupo Pasini, Pei Zhang, Kshitij Mehta, Frank Liu, Jonghyun Bae, Khaled Ibrahim
DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets. SC Workshops (2023)
Ahmad Maroof Karimi, Arnab K. Paul, Jong Youl Choi, Lipeng Wan, Feiyi Wang
Analyzing File Access Patterns on Large-Scale HPC Systems: Opportunities for File Prefetching. MASCOTS (2023)
Eric Suchyta, Jong Youl Choi, Seung-Hoe Ku, David Pugmire, Ana Gainaru, Kevin A. Huck, Ralph Kube, Aaron Scheinberg, Frédéric Suter, Choong-Seock Chang, Todd S. Munson, Norbert Podhorszki, Scott Klasky
Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers. CLUSTER (2022)
Jong Youl Choi, Pei Zhang, Kshitij Mehta, Andrew Blanchard, Massimiliano Lupo Pasini
Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules. J. Cheminformatics 14 (1) (2022)
Massimiliano Lupo Pasini, Pei Zhang, Samuel Temple Reeve, Jong Youl Choi
Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems. CoRR (2022)
Arnab K. Paul, Jong Youl Choi, Ahmad Maroof Karimi, Feiyi Wang
Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems. HPDC (2022)
Massimiliano Lupo Pasini, Pei Zhang, Samuel Temple Reeve, Jong Youl Choi
. Mach. Learn. Sci. Technol. 3 (2) (2022)
Kshitij Mehta, Bryce Allen, Matthew Wolf, Jeremy Logan, Eric Suchyta, Swati Singhal, Jong Youl Choi, Keichi Takahashi, Kevin A. Huck, Igor Yakushin, Alan Sussman, Todd S. Munson, Ian T. Foster, Scott Klasky
A codesign framework for online data analysis and reduction. Concurr. Comput. Pract. Exp. 34 (14) (2022)
Jong Youl Choi, Pei Zhang, Kshitij Mehta, Andrew Blanchard, Massimiliano Lupo Pasini
Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules. CoRR (2022)
Qian Gong, Xin Liang, Ben Whitney, Jong Youl Choi, Jieyang Chen, Lipeng Wan, Stéphane Ethier, Seung-Hoe Ku, Randy Michael Churchill, Choong-Seock Chang, Mark Ainsworth, Ozan Tugluk, Todd S. Munson, David Pugmire, Richard Archibald, Scott Klasky
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. SMC (2021)
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Qian Gong, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. CoRR (2021)
Swati Singhal, Alan Sussman, Matthew Wolf, Kshitij Mehta, Jong Youl Choi
DYFLOW: A flexible framework for orchestrating scientific workflows on supercomputers. ICPP Workshops (2021)
Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, David Pugmire, Nicholas Thompson, Jong Youl Choi, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky
Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. IPDPS (2021)
Bing Xie, Sarp Oral, Christopher Zimmer, Jong Youl Choi, David Dillow, Scott Klasky, Jay F. Lofstead, Norbert Podhorszki, Jeffrey S. Chase
Characterizing Output Bottlenecks of a Production Supercomputer: Analysis and Implications. ACM Trans. Storage 15 (4) (2020)
Ralph Kube, Randy Michael Churchill, Jong Youl Choi, Ruonan Wang, Scott Klasky, CS Chang, Minjun J. Choi, Jinseop Park
Leading magnetic fusion energy science into the big-and-fast data lane. SciPy (2020)
Sungsoo Ha, Wonyong Jeong, Gyorgy Matyasfalvi, Cong Xie, Kevin A. Huck, Jong Youl Choi, Abid Malik, Li Tang, Hubertus Van Dam, Line Pouchard, Wei Xu, Shinjae Yoo, Nicholas D'Imperio, Kerstin Kleese van Dam
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. CoRR (2020)
Dan Huang, Qing Liu, Scott Klasky, Jun Wang, Jong Youl Choi, Jeremy Logan, Norbert Podhorszki
Harnessing Data Movement in Virtual Clusters for In-Situ Execution. IEEE Trans. Parallel Distributed Syst. 30 (3) (2019)
Jong Youl Choi, Choong-Seock Chang, Julien Dominski, Scott Klasky, Gabriele Merlo, Eric Suchyta, Mark Ainsworth, Bryce Allen, Franck Cappello, Michael Churchill, Philip E. Davis, Sheng Di, Greg Eisenhauer, Stéphane Ethier, Ian T. Foster, Berk Geveci, Hanqi Guo, Kevin A. Huck, Frank Jenko, Mark Kim, James Kress, Seung-Hoe Ku, Qing Liu, Jeremy Logan, Allen D. Malony, Kshitij Mehta, Kenneth Moreland, Todd S. Munson, Manish Parashar, Tom Peterka, Norbert Podhorszki, Dave Pugmire, Ozan Tugluk, Ruonan Wang, Ben Whitney, Matthew Wolf, Chad Wood
Coupling Exascale Multiphysics Applications: Methods and Lessons Learned. eScience (2018)
Axel Huebl, René Widera, Felix Schmitt, Alexander Matthes, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Michael Bussmann
On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective. ISC Workshops (2017)
Bing Xie, Yezhou Huang, Jeffrey S. Chase, Jong Youl Choi, Scott Klasky, Jay F. Lofstead, Sarp Oral
Predicting Output Performance of a Petascale Supercomputer. HPDC (2017)
Tao Lu, Eric Suchyta, Jong Youl Choi, Norbert Podhorszki, Scott Klasky, Qing Liu, David Pugmire, Matthew Wolf, Mark Ainsworth
Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring. HotStorage (2017)
Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky
Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System. ICDCS (2017)
Jeremy Logan, Jong Youl Choi, Matthew Wolf, George Ostrouchov, Lipeng Wan, Norbert Podhorszki, William F. Godoy, Scott Klasky, Erich Lohrmann, Greg Eisenhauer, Chad Wood, Kevin A. Huck
Extending Skel to Support the Development and Optimization of Next Generation I/O Systems. CLUSTER (2017)
Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky
Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer. HPCC/SmartCity/DSS (2017)
Scott Klasky, Eric Suchyta, Mark Ainsworth, Qing Liu, Ben Whitney, Matthew Wolf, Jong Youl Choi, Ian T. Foster, Mark Kim, Jeremy Logan, Kshitij Mehta, Todd S. Munson, George Ostrouchov, Manish Parashar, Norbert Podhorszki, David Pugmire, Lipeng Wan
Exacution: Enhancing Scientific Data Management for Exascale. ICDCS (2017)
Qing Liu, Norbert Podhorszki, Jong Youl Choi, Jeremy Logan, Matthew Wolf, Scott Klasky, Tahsin M. Kurç, Xubin He
StoreRush: An Application-Level Approach to Harvesting Idle Storage in a Best Effort Environment. ICCS (2017)
Ian T. Foster, Mark Ainsworth, Bryce Allen, Julie Bessac, Franck Cappello, Jong Youl Choi, Emil M. Constantinescu, Philip E. Davis, Sheng Di, Zichao Wendy Di, Hanqi Guo, Scott Klasky, Kerstin Kleese van Dam, Tahsin M. Kurç, Qing Liu, Abid Malik, Kshitij Mehta, Klaus Mueller, Todd S. Munson, George Ostrouchov, Manish Parashar, Tom Peterka, Line Pouchard, Dingwen Tao, Ozan Tugluk, Stefan M. Wild, Matthew Wolf, Justin M. Wozniak, Wei Xu, Shinjae Yoo
Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales. Euro-Par (2017)
Jong Youl Choi, Jeremy Logan, Matthew Wolf, George Ostrouchov, Tahsin M. Kurç, Qing Liu, Norbert Podhorszki, Scott Klasky, Melissa Romanus, Qian Sun, Manish Parashar, Randy Michael Churchill, Choong-Seock Chang
TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping. CLUSTER (2017)
Axel Huebl, René Widera, Felix Schmitt, Alexander Matthes, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Michael Bussmann
On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective. CoRR (2017)
David Pugmire, James Kress, Jong Youl Choi, Scott Klasky, Tahsin M. Kurç, Michael Churchill, Matthew Wolf, Greg Eisenhauer, Hank Childs, Kesheng Wu, Alexander Sim, Junmin Gu, Jonathan Low
Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows. IPDPS Workshops (2016)
Melissa Romanus, Fan Zhang, Tong Jin, Qian Sun, Hoang Bui, Manish Parashar, Jong Youl Choi, Saloman Janhunen, Robert Hager, Scott Klasky, Choong-Seock Chang, Ivan Rodero
Persistent Data Staging Services for Data Intensive In-situ Scientific Workflows. DIDC@HPDC (2016)
Lingfei Wu, K. John Wu, Alex Sim, Michael Churchill, Jong Youl Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky
Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma. IEEE Trans. Big Data 2 (3) (2016)
James Kress, Scott Klasky, Norbert Podhorszki, Jong Youl Choi, Hank Childs, David Pugmire
Loosely Coupled In Situ Visualization: A Perspective on Why It's Here to Stay. ISAV@SC (2015)
Lingfei Wu, Kesheng Wu, Alex Sim, Michael Churchill, Jong Youl Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky
Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data. CoRR (2015)
Ye Jin, Xiaosong Ma, Mingliang Liu, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky
Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation. SIGMETRICS (2015)
Ye Jin, Mingliang Liu, Xiaosong Ma, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky
Combining phase identification and statistic modeling for automated parallel benchmark generation. PPOPP (2015)
Qing Liu, Jeremy Logan, Yuan Tian, Hasan Abbasi, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Roselyne Tchoua, Jay F. Lofstead, Ron A. Oldfield, Manish Parashar, Nagiza F. Samatova, Karsten Schwan, Arie Shoshani, Matthew Wolf, Kesheng Wu, Weikuan Yu
Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks. Concurr. Comput. Pract. Exp. 26 (7) (2014)
Yanwei Zhang, Qing Liu, Scott Klasky, Matthew Wolf, Karsten Schwan, Greg Eisenhauer, Jong Youl Choi, Norbert Podhorszki
Active workflow system for near real-time extreme-scale science. PPAA@PPoPP (2014)
Roselyne Tchoua, Jong Youl Choi, Scott Klasky, Qing Liu, Jeremy Logan, Kenneth Moreland, Jingqing Mu, Manish Parashar, Norbert Podhorszki, David Pugmire, Matthew Wolf
ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing. e-Science (2013)
Jong Youl Choi, Hasan Abbasi, David Pugmire, Norbert Podhorszki, Scott Klasky, Cristian Capdevila, Manish Parashar, Matthew Wolf, Judy Qiu, Geoffrey C. Fox
Mining hidden mixture context with ADIOS-P to improve predictive pre-fetcher accuracy. eScience (2012)
Jong Youl Choi, Seung-Hee Bae, Judy Qiu, Bin Chen, David J. Wild
Browsing large-scale cheminformatics data with dimension reduction. Concurr. Comput. Pract. Exp. 23 (17) (2011)
Thilina Gunarathne, Tak-Lon Wu, Jong Youl Choi, Seung-Hee Bae, Judy Qiu
Cloud computing paradigms for pleasingly parallel biomedical applications. Concurr. Comput. Pract. Exp. 23 (17) (2011)
Jong Youl Choi, Seung-Hee Bae, Xiaohong Qiu, Geoffrey C. Fox
High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis. CCGRID (2010)
Seung-Hee Bae, Jong Youl Choi, Judy Qiu, Geoffrey C. Fox
Dimension reduction and visualization of large high-dimensional data via interpolation. HPDC (2010)
Jong Youl Choi, Seung-Hee Bae, Judy Qiu, Geoffrey C. Fox, Bin Chen, David J. Wild
Browsing large scale cheminformatics data with dimension reduction. HPDC (2010)
Judy Qiu, Jaliya Ekanayake, Thilina Gunarathne, Jong Youl Choi, Seung-Hee Bae, Hui Li, Bingjing Zhang, Tak-Lon Wu, Yang Ruan, Saliya Ekanayake, Adam Hughes, Geoffrey C. Fox
Hybrid cloud and cluster computing paradigms for life science applications. BMC Bioinform. 11 (S-12) (2010)
Jong Youl Choi, Judy Qiu, Marlon E. Pierce, Geoffrey C. Fox
Generative topographic mapping by deterministic annealing. ICCS (1) (2010)
Geoffrey C. Fox, Xiaohong Qiu, Scott Beason, Jong Youl Choi, Jaliya Ekanayake, Thilina Gunarathne, Mina Rho, Haixu Tang, Neil Devadasan, Gilbert Liu
Biomedical Case Studies in Data Intensive Computing. CloudCom (2009)
Marlon E. Pierce, Geoffrey C. Fox, Jong Youl Choi, Zhenhua Guo, Xiaoming Gao, Yu Ma
Using Web 2.0 for scientific applications and scientific communities. Concurr. Comput. Pract. Exp. 21 (5) (2009)
XiaoFeng Wang, Zhuowei Li, Ninghui Li, Jong Youl Choi
PRECIP: Towards Practical and Retrofittable Confidential Information Protection. NDSS (2008)
Xiaohong Qiu, Geoffrey C. Fox, Seung-Hee Bae, Jong Youl Choi, Jaliya Ekanayake, Yang Ruan
SALSA Project: Parallel Data Mining of GIS, Web, Medical, Physics, Chemical, and Biology Data. eScience (2008)
Marlon E. Pierce, Geoffrey C. Fox, Joshua J. Rosen, Siddharth Maini, Jong Youl Choi
Social networking for scientists using tagging and shared bookmarks: a Web 2.0 application. CTS (2008)
Youngik Yang, Jong Youl Choi, Kwangmin Choi, Marlon E. Pierce, Dennis Gannon, Sun Kim
BioVLAB-Microarray: Microarray Data Analysis in Virtual Environment. eScience (2008)
XiaoFeng Wang, Zhuowei Li, Jong Youl Choi, Jun Xu, Michael K. Reiter, Chongkyung Kil
Fast and Black-box Exploit Detection and Signature Generation for Commodity Software. ACM Trans. Inf. Syst. Secur. 12 (2) (2008)
Zhuowei Li, XiaoFeng Wang, Jong Youl Choi
SpyShield: Preserving Privacy from Spy Add-Ons. RAID (2007)
Jong Youl Choi, Philippe Golle, Markus Jakobsson
Tamper-Evident Digital Signature Protecting Certification Authorities Against Malware. DASC (2006)
XiaoFeng Wang, Zhuowei Li, Jun Xu, Michael K. Reiter, Chongkyung Kil, Jong Youl Choi
Packet vaccine: black-box exploit detection and signature generation. CCS (2006)
Jong Youl Choi, Philippe Golle, Markus Jakobsson
Auditable Privacy: On Tamper-Evident Mix Networks. Financial Cryptography (2006)
Jong Youl Choi, Philippe Golle, Markus Jakobsson
Tamper-Evident Digital Signatures: Protecting Certification Authorities Against Malware. IACR Cryptol. ePrint Arch. 2005 (2005)
Jong Youl Choi, Markus Jakobsson, Susanne Wetzel
Balancing auditability and privacy in vehicular networks. Q2SWinet (2005)