Jong Choi
Orcid: 0000-0002-6459-6152Affiliations:
- Oak Ridge National Laboratory, Oak Ridge, TN, USA
According to our database1,
Jong Choi
authored at least 86 papers
between 2005 and 2023.
Collaborative distances:
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Bibliography
2023
CoRR, 2023
Unraveling Diffusion in Fusion Plasma: A Case Study of In Situ Processing and Particle Sorting.
CoRR, 2023
DDStore: Distributed Data Store for Scalable Training of Graph Neural Networks on Large Atomistic Modeling Datasets.
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.
Proceedings of the 31st International Symposium on Modeling, 2023
Proceedings of the 24th IEEE International Conference on Information Reuse and Integration for Data Science, 2023
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023
Online and Scalable Data Compression Pipeline with Guarantees on Quantities of Interest.
Proceedings of the 19th IEEE International Conference on e-Science, 2023
2022
Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems <sup>*</sup>.
Mach. Learn. Sci. Technol., 2022
Scalable training of graph convolutional neural networks for fast and accurate predictions of HOMO-LUMO gap in molecules.
J. Cheminformatics, 2022
The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science.
Int. J. High Perform. Comput. Appl., 2022
Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems.
CoRR, 2022
Concurr. Comput. Pract. Exp., 2022
Machine Learning Assisted HPC Workload Trace Generation for Leadership Scale Storage Systems.
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022
An Algorithmic and Software Pipeline for Very Large Scale Scientific Data Compression with Error Guarantees.
Proceedings of the 29th IEEE International Conference on High Performance Computing, 2022
Hybrid Analysis of Fusion Data for Online Understanding of Complex Science on Extreme Scale Computers.
Proceedings of the IEEE International Conference on Cluster Computing, 2022
2021
Online data analysis and reduction: An important Co-design motif for extreme-scale computers.
Int. J. High Perform. Comput. Appl., 2021
Int. J. High Perform. Comput. Appl., 2021
CoRR, 2021
Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Integration of Experiment, Big Data, and Modeling and Simulation, 2021
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
DYFLOW: A flexible framework for orchestrating scientific workflows on supercomputers.
Proceedings of the ICPP Workshops 2021: 50th International Conference on Parallel Processing, 2021
2020
Characterizing Output Bottlenecks of a Production Supercomputer: Analysis and Implications.
ACM Trans. Storage, 2020
ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management.
SoftwareX, 2020
Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale.
IEEE Data Eng. Bull., 2020
Proceedings of the High Performance Computing - 35th International Conference, 2020
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020
Data Federation Challenges in Remote Near-Real-Time Fusion Experiment Data Processing.
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020
Proceedings of the 19th Python in Science Conference 2020 (SciPy 2020), Virtual Conference, July 6, 2020
Proceedings of the IEEE/ACM HPC for Urgent Decision Making, UrgentHPC@SC 2020, Atlanta, GA, 2020
Proceedings of the 10th IEEE Symposium on Large Data Analysis and Visualization, 2020
2019
IEEE Trans. Parallel Distributed Syst., 2019
IEEE Trans. Computers, 2019
Proceedings of the High Performance Computing - 34th International Conference, 2019
Proceedings of the 2019 IEEE/ACM Workflows in Support of Large-Scale Science, 2019
Proceedings of the 15th International Conference on eScience, 2019
2018
Binning Based Data Reduction for Vector Field Data of a Particle-In-Cell Fusion Simulation.
Proceedings of the High Performance Computing, 2018
Proceedings of the High Performance Computing, 2018
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
Proceedings of the 14th IEEE International Conference on e-Science, 2018
2017
Personalized Search Inspired Fast Interactive Estimation of Distribution Algorithm and Its Application.
IEEE Trans. Evol. Comput., 2017
On the Scalability of Data Reduction Techniques in Current and Upcoming HPC Systems from an Application Perspective.
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.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017
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.
Proceedings of the International Conference on Computational Science, 2017
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.
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.
Proceedings of the 9th USENIX Workshop on Hot Topics in Storage and File Systems, 2017
Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017
Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017
Extending Skel to Support the Development and Optimization of Next Generation I/O Systems.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017
2016
Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma.
IEEE Trans. Big Data, 2016
Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016
Proceedings of the ACM International Workshop on Data-Intensive Distributed Computing, 2016
Proceedings of the IEEE Congress on Evolutionary Computation, 2016
2015
Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data.
CoRR, 2015
Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark Generation.
Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015
Proceedings of the First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2015
2014
Hello ADIOS: the challenges and lessons of developing leadership class I/O frameworks.
Concurr. Comput. Pract. Exp., 2014
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.
Proceedings of the 9th IEEE International Conference on eScience, 2013
2012
Mining hidden mixture context with ADIOS-P to improve predictive pre-fetcher accuracy.
Proceedings of the 8th IEEE International Conference on E-Science, 2012
2011
Concurr. Comput. Pract. Exp., 2011
Concurr. Comput. Pract. Exp., 2011
2010
Proceedings of the International Conference on Computational Science, 2010
BMC Bioinform., 2010
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010
Dimension reduction and visualization of large high-dimensional data via interpolation.
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.
Proceedings of the 10th IEEE/ACM International Conference on Cluster, 2010
2009
Concurr. Comput. Pract. Exp., 2009
Proceedings of the Cloud Computing, First International Conference, CloudCom 2009, Beijing, 2009
2008
Fast and Black-box Exploit Detection and Signature Generation for Commodity Software.
ACM Trans. Inf. Syst. Secur., 2008
Proceedings of the Network and Distributed System Security Symposium, 2008
Proceedings of the Fourth International Conference on e-Science, 2008
SALSA Project: Parallel Data Mining of GIS, Web, Medical, Physics, Chemical, and Biology Data.
Proceedings of the Fourth International Conference on e-Science, 2008
Social networking for scientists using tagging and shared bookmarks: a Web 2.0 application.
Proceedings of the 2008 International Symposium on Collaborative Technologies and Systems, 2008
2007
Proceedings of the Recent Advances in Intrusion Detection, 10th International Symposium, 2007
2006
Proceedings of the Financial Cryptography and Data Security, 2006
Tamper-Evident Digital Signature Protecting Certification Authorities Against Malware.
Proceedings of the Second International Symposium on Dependable Autonomic and Secure Computing (DASC 2006), 29 September, 2006
Proceedings of the 13th ACM Conference on Computer and Communications Security, 2006
2005
Tamper-Evident Digital Signatures: Protecting Certification Authorities Against Malware.
IACR Cryptol. ePrint Arch., 2005
Proceedings of the Q2SWinet'05, 2005