Crowdsourcing quality control for Dark Energy Survey images. - Peter Melchior; Erin Sheldon; Alex Drlica-Wagner; Eli S. Rykoff; Timothy M. C. Abbott; Filipe B. Abdalla; Sahar Allam; Aurélien Benoit-Lévy; David D. Brooks; Elizabeth Buckley-Geer; Aurelio Carnero Rosell; Matias Carrasco Kind; et al. (Astron. Comput., 2016)

Canopus: A Paradigm Shift Towards Elastic Extreme-Scale Data Analytics on HPC Storage. - Tao Lu; Eric Suchyta; David Pugmire; Jong Choi 001; Scott Klasky; Qing Liu 002; Norbert Podhorszki; Mark Ainsworth; Matthew Wolf (CLUSTER, 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 002; David Pugmire; Matthew Wolf; Mark Ainsworth (HotStorage, 2017)

Exacution: Enhancing Scientific Data Management for Exascale. - Scott Klasky; Eric Suchyta; Mark Ainsworth; Qing Liu 002; Ben Whitney; Matthew Wolf; Jong Youl Choi; Ian T. Foster; Mark Kim; Jeremy Logan; Kshitij Mehta; Todd S. Munson; et al. (ICDCS, 2017)

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; et al. (eScience, 2018)

A View from ORNL: Scientific Data Research Opportunities in the Big Data Age. - Scott Klasky; Matthew Wolf; Mark Ainsworth; Chuck Atkins; Jong Choi 001; Greg Eisenhauer; Berk Geveci; William F. Godoy; Mark Kim; James Kress; Tahsin M. Kurç; Qing Liu 002; et al. (ICDCS, 2018)

Understanding and Modeling Lossy Compression Schemes on HPC Scientific Data. - Tao Lu; Qing Liu 002; Xubin He; Huizhang Luo; Eric Suchyta; Jong Choi 001; Norbert Podhorszki; Scott Klasky; Matthew Wolf; Tong Liu; Zhenbo Qiao (IPDPS, 2018)

DES science portal: Computing photometric redshifts. - Julia Gschwend; A. Carnero Rossel; Ricardo Ogando; Angelo Fausti Neto; Marcio A. G. Maia; Luiz Nicolaci da Costa; Marcos Lima; Paulo S. S. Pellegrini; Riccardo Campisano; C. Singulani; C. Adean; Christophe O. Benoist; et al. (Astron. Comput., 2018)

DES science portal: Creating science-ready catalogs. - Angelo Fausti Neto; Luiz Nicolaci da Costa; Aurelio Carnero Rosell; Julia Gschwend; R. L. C. Ogando; Flavia Sobreira; Marcio A. G. Maia; Basillio X. Santiago; Rogério Rosenfeld; C. Singulani; C. Adean; L. D. P. Nunes; et al. (Astron. Comput., 2018)

A Codesign Framework for Online Data Analysis and Reduction. - Kshitij Mehta; Ian T. Foster; Scott Klasky; Bryce Allen; Matthew Wolf; Jeremy Logan; Eric Suchyta; Jong Choi 001; Keichi Takahashi; Igor Yakushin; Todd S. Munson (WORKS@SC, 2019)

Processing full-scale square kilometre array data on the summit supercomputer. - Ruonan Wang; Rodrigo Tobar; Markus Dolensky; Tao An; Andreas Wicenec; Chen Wu; Fred Dulwich; Norbert Podhorszki; Valentine Anantharaj; Eric Suchyta; Bao-qiang Lao; Scott Klasky (SC, 2020)

Visualization as a Service for Scientific Data. - David Pugmire; James Kress; Jieyang Chen; Hank Childs; Jong Choi 001; Dmitry Ganyushin; Berk Geveci; Mark Kim; Scott Klasky; Xin Liang 001; Jeremy Logan; Nicole Marsaglia; et al. (SMC, 2020)

Optical follow-up of gravitational wave triggers with DECam during the first two LIGO/VIRGO observing runs. - Ken Herner; James Annis; Dillon Brout; Marcelle Soares-Santos; Richard Kessler; Masao Sako; Ray F. Butler; Zoheyr Doctor; Antonella Palmese; Sahar Allam; Douglas L. Tucker; Flavia Sobreira; et al. (Astron. Comput., 2020)

Machine Learning for Searching the Dark Energy Survey for Trans-Neptunian Objects. - Ben Henghes; Ofer Lahav; David W. Gerdes; E. Lin; Robert Morgan; Timothy M. C. Abbott; Michel Aguena; Sahar Allam; James Annis; Santiago Ávila; Emmanuel Bertin; David D. Brooks; et al. (CoRR, 2020)

A machine learning approach to galaxy properties: Joint redshift - stellar mass probability distributions with Random Forest. - Sunil Mucesh; William G. Hartley; Antonella Palmese; Ofer Lahav; L. Whiteway; A. Amon; Keith C. Bechtol; Gary M. Bernstein; Aurelio Carnero Rosell; Matias Carrasco Kind; A. Choi; K. Eckert; et al. (CoRR, 2020)

Extending the Publish/Subscribe Abstraction for High-Performance I/O and Data Management at Extreme Scale. - Jeremy Logan; Mark Ainsworth; Chuck Atkins; Jieyang Chen; Jong Choi 001; Junmin Gu; James Kress; Greg Eisenhauer; Berk Geveci; William F. Godoy; Mark Kim; Tahsin M. Kurç; et al. (IEEE Data Eng. Bull., 2020)

ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management. - William F. Godoy; Norbert Podhorszki; Ruonan Wang; Chuck Atkins; Greg Eisenhauer; Junmin Gu; Philip E. Davis; Jong Choi 001; Kai Germaschewski; Kevin A. Huck; Axel Huebl; Mark Kim; et al. (SoftwareX, 2020)

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; et al. (CLUSTER, 2022)

A codesign framework for online data analysis and reduction. - 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; et al. (Concurr. Comput. Pract. Exp., 2022)

The Exascale Framework for High Fidelity coupled Simulations (EFFIS): Enabling whole device modeling in fusion science. - Eric Suchyta; Scott Klasky; Norbert Podhorszki; Matthew Wolf; Abolaji D. Adesoji; Choong-Seock Chang; Jong Choi 001; Philip E. Davis; Julien Dominski; Stéphane Ethier; Ian T. Foster; Kai Germaschewski; et al. (Int. J. High Perform. Comput. Appl., 2022)

Understanding the Impact of Data Staging for Coupled Scientific Workflows. - Ana Gainaru; Lipeng Wan 001; Ruonan Wang; Eric Suchyta; Jieyang Chen; Norbert Podhorszki; James Kress; David Pugmire; Scott Klasky (IEEE Trans. Parallel Distributed Syst., 2022)

Performance Improvements of Poincaré Analysis for Exascale Fusion Simulations. - David Pugmire; Jong Youl Choi; Scott Klasky; Kenneth Moreland; Eric Suchyta; Tushar M. Athawale; Zhe Wang 059; Choong-Seock Chang; Seung-Hoe Ku; Robert Hager (VisGap@EuroVis, 2024)

A terminology for scientific workflow systems. - Frédéric Suter; Tainã Coleman; Ilkay Altintas; Rosa M. Badia; Bartosz Balis; Kyle Chard; Iacopo Colonnelli; Ewa Deelman; Paolo Di Tommaso; Thomas Fahringer; Carole A. Goble; Shantenu Jha; et al. (Future Gener. Comput. Syst., 2026)