Jong Youl Choi

According to our database, Jong Youl Choi authored at least 39 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets.

Jong Youl Choi, Massimiliano Lupo Pasini, Pei Zhang, Kshitij Mehta, Frank Liu, Jonghyun Bae, Khaled Ibrahim

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Analyzing File Access Patterns on Large-Scale HPC Systems: Opportunities for File Prefetching.

Ahmad Maroof Karimi, Arnab K. Paul, Jong Youl Choi, Lipeng Wan, Feiyi Wang

Proceedings of the 31st International Symposium on Modeling, 2023

2022

Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems.

Arnab K. Paul, Jong Youl Choi, Ahmad Maroof Karimi, Feiyi Wang

Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers.

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

Proceedings of the IEEE International Conference on Cluster Computing, 2022

2021

Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression.

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

Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.

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

Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021

DYFLOW: A flexible framework for orchestrating scientific workflows on supercomputers.

Swati Singhal, Alan Sussman, Matthew Wolf, Kshitij Mehta, Jong Youl Choi

Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021

2020

Leading magnetic fusion energy science into the big-and-fast data lane.

Ralph Kube, Randy Michael Churchill, Jong Youl Choi, Ruonan Wang, Scott Klasky, CS Chang, Minjun J. Choi, Jinseop Park

Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020

2018

Coupling Exascale Multiphysics Applications: Methods and Lessons Learned.

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

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2017

On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective.

Axel Huebl, René Widera, Felix Schmitt, Alexander Matthes, Norbert Podhorszki, Jong Youl Choi, Scott Klasky, Michael Bussmann

Proceedings of the High Performance Computing, 2017

Comprehensive Measurement and Analysis of the User-Perceived I/O Performance in a Production Leadership-Class Storage System.

Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

Exacution: Enhancing Scientific Data Management for Exascale.

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

Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

StoreRush: An Application-Level Approach to Harvesting Idle Storage in a Best Effort Environment.

Qing Liu, Norbert Podhorszki, Jong Youl Choi, Jeremy Logan, Matthew Wolf, Scott Klasky, Tahsin M. Kurç, Xubin He

Proceedings of the International Conference on Computational Science, 2017

Predicting Output Performance of a Petascale Supercomputer.

Bing Xie, Yezhou Huang, Jeffrey S. Chase, Jong Youl Choi, Scott Klasky, Jay F. Lofstead, Sarp Oral

Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, 2017

Analysis and Modeling of the End-to-End I/O Performance on OLCF's Titan Supercomputer.

Lipeng Wan, Matthew Wolf, Feiyi Wang, Jong Youl Choi, George Ostrouchov, Scott Klasky

Proceedings of the 19th IEEE International Conference on High Performance Computing and Communications; 15th IEEE International Conference on Smart City; 3rd IEEE International Conference on Data Science and Systems, 2017

Canopus: Enabling Extreme-Scale Data Analytics on Big HPC Storage via Progressive Refactoring.

Tao Lu, Eric Suchyta, Jong Youl Choi, Norbert Podhorszki, Scott Klasky, Qing Liu, David Pugmire, Matthew Wolf, Mark Ainsworth

Proceedings of the 9th USENIX Workshop on Hot Topics in Storage and File Systems, 2017

Computing Just What You Need: Online Data Analysis and Reduction at Extreme Scales.

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

Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017

Extending Skel to Support the Development and Optimization of Next Generation I/O Systems.

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

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

TGE: Machine Learning Based Task Graph Embedding for Large-Scale Topology Mapping.

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

Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2016

Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows.

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

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

Persistent Data Staging Services for Data Intensive In-situ Scientific Workflows.

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

Proceedings of the ACM International Workshop on Data-Intensive Distributed Computing, 2016

2015

Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation.

Ye Jin, Xiaosong Ma, Mingliang Liu, Qing Liu, Jeremy Logan, Norbert Podhorszki, Jong Youl Choi, Scott Klasky

Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015

Loosely Coupled In Situ Visualization: A Perspective on Why It's Here to Stay.

James Kress, Scott Klasky, Norbert Podhorszki, Jong Youl Choi, Hank Childs, David Pugmire

Proceedings of the First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2015

2014

Active workflow system for near real-time extreme-scale science.

Yanwei Zhang, Qing Liu, Scott Klasky, Matthew Wolf, Karsten Schwan, Greg Eisenhauer, Jong Youl Choi, Norbert Podhorszki

Proceedings of the first workshop on Parallel programming for analytics applications, 2014

2013

ADIOS Visualization Schema: A First Step Towards Improving Interdisciplinary Collaboration in High Performance Computing.

Roselyne Tchoua, Jong Youl Choi, Scott Klasky, Qing Liu, Jeremy Logan, Kenneth Moreland, Jingqing Mu, Manish Parashar, Norbert Podhorszki, David Pugmire, Matthew Wolf

Proceedings of the 9th IEEE International Conference on eScience, 2013

2012

Mining hidden mixture context with ADIOS-P to improve predictive pre-fetcher accuracy.

Jong Youl Choi, Hasan Abbasi, David Pugmire, Norbert Podhorszki, Scott Klasky, Cristian Capdevila, Manish Parashar, Matthew Wolf, Judy Qiu, Geoffrey C. Fox

Proceedings of the 8th IEEE International Conference on E-Science, 2012

2010

Browsing large scale cheminformatics data with dimension reduction.

Jong Youl Choi, Seung-Hee Bae, Judy Qiu, Geoffrey C. Fox, Bin Chen, David J. Wild

Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

Dimension reduction and visualization of large high-dimensional data via interpolation.

Seung-Hee Bae, Jong Youl Choi, Judy Qiu, Geoffrey C. Fox

Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

High Performance Dimension Reduction and Visualization for Large High-Dimensional Data Analysis.

Jong Youl Choi, Seung-Hee Bae, Xiaohong Qiu, Geoffrey C. Fox

Proceedings of the 10th IEEE/ACM International Conference on Cluster, 2010

2009

Biomedical Case Studies in Data Intensive Computing.

Geoffrey C. Fox, Xiaohong Qiu, Scott Beason, Jong Youl Choi, Jaliya Ekanayake, Thilina Gunarathne, Mina Rho, Haixu Tang, Neil Devadasan, Gilbert Liu

Proceedings of the Cloud Computing, First International Conference, CloudCom 2009, Beijing, 2009

2008

PRECIP: Towards Practical and Retrofittable Confidential Information Protection.

XiaoFeng Wang, Zhuowei Li, Ninghui Li, Jong Youl Choi

Proceedings of the Network and Distributed System Security Symposium, 2008

BioVLAB-Microarray: Microarray Data Analysis in Virtual Environment.

Youngik Yang, Jong Youl Choi, Kwangmin Choi, Marlon E. Pierce, Dennis Gannon, Sun Kim

Proceedings of the Fourth International Conference on e-Science, 2008

SALSA Project: Parallel Data Mining of GIS, Web, Medical, Physics, Chemical, and Biology Data.

Xiaohong Qiu, Geoffrey C. Fox, Seung-Hee Bae, Jong Youl Choi, Jaliya Ekanayake, Yang Ruan

Proceedings of the Fourth International Conference on e-Science, 2008

Social networking for scientists using tagging and shared bookmarks: a Web 2.0 application.

Marlon E. Pierce, Geoffrey C. Fox, Joshua J. Rosen, Siddharth Maini, Jong Youl Choi

Proceedings of the 2008 International Symposium on Collaborative Technologies and Systems, 2008

2007

SpyShield: Preserving Privacy from Spy Add-Ons.

Zhuowei Li, XiaoFeng Wang, Jong Youl Choi

Proceedings of the Recent Advances in Intrusion Detection, 10th International Symposium, 2007

2006

Auditable Privacy: On Tamper-Evident Mix Networks.

Jong Youl Choi, Philippe Golle, Markus Jakobsson

Proceedings of the Financial Cryptography and Data Security, 2006

Tamper-Evident Digital Signature Protecting Certification Authorities Against Malware.

Jong Youl Choi, Philippe Golle, Markus Jakobsson

Proceedings of the Second International Symposium on Dependable Autonomic and Secure Computing (DASC 2006), 29 September, 2006

Packet vaccine: black-box exploit detection and signature generation.

XiaoFeng Wang, Zhuowei Li, Jun Xu, Michael K. Reiter, Chongkyung Kil, Jong Youl Choi

Proceedings of the 13th ACM Conference on Computer and Communications Security, 2006

2005

Balancing auditability and privacy in vehicular networks.

Jong Youl Choi, Markus Jakobsson, Susanne Wetzel

Proceedings of the Q2SWinet'05, 2005