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)

Compression Using Lossless Decimation: Analysis and Application. - Mark Ainsworth; Scott Klasky; Ben Whitney (SIAM J. Sci. Comput., 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)

Multilevel techniques for compression and reduction of scientific data - the univariate case. - Mark Ainsworth; Ozan Tugluk; Ben Whitney; Scott Klasky (Comput. Vis. Sci., 2018)

Multilevel Techniques for Compression and Reduction of Scientific Data - The Multivariate Case. - Mark Ainsworth; Ozan Tugluk; Ben Whitney; Scott Klasky (SIAM J. Sci. Comput., 2019)

Multilevel Techniques for Compression and Reduction of Scientific Data-Quantitative Control of Accuracy in Derived Quantities. - Mark Ainsworth; Ozan Tugluk; Ben Whitney; Scott Klasky (SIAM J. Sci. Comput., 2019)

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. - Jieyang Chen; Lipeng Wan 001; Xin Liang 001; Ben Whitney; Qing Liu 002; Dave Pugmire; Nicholas Thompson; Matthew Wolf; Todd S. Munson; Ian T. Foster; Scott Klasky (CoRR, 2020)

MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management. - Xin Liang 001; Ben Whitney; Jieyang Chen; Lipeng Wan 001; Qing Liu 002; Dingwen Tao; James Kress; David Pugmire; Matthew Wolf; Norbert Podhorszki; Scott Klasky (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)

Multilevel Techniques for Compression and Reduction of Scientific Data - The Unstructured Case. - Mark Ainsworth; Ozan Tugluk; Ben Whitney; Scott Klasky (SIAM J. Sci. Comput., 2020)

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. - Jieyang Chen; Lipeng Wan 001; Xin Liang 001; Ben Whitney; Qing Liu 002; David Pugmire; Nicholas Thompson; Jong Youl Choi; Matthew Wolf; Todd S. Munson; Ian T. Foster; Scott Klasky (IPDPS, 2021)

Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition. - Xin Liang 001; Qian Gong; Jieyang Chen; Ben Whitney; Lipeng Wan 001; Qing Liu 002; David Pugmire; Rick Archibald; Norbert Podhorszki; Scott Klasky (SC, 2021)

Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression. - Xinying Wang 001; Lipeng Wan 001; Jieyang Chen; Qian Gong; Ben Whitney; Jinzhen Wang; Ana Gainaru; Qing Liu 002; Norbert Podhorszki; Dongfang Zhao 001; Feng Yan 001; Scott Klasky (DRBSD@SC, 2021)

Maintaining Trust in Reduction: Preserving the Accuracy of Quantities of Interest for Lossy Compression. - Qian Gong; Xin Liang 001; Ben Whitney; Jong Youl Choi; Jieyang Chen; Lipeng Wan 001; Stéphane Ethier; Seung-Hoe Ku; Randy Michael Churchill; Choong-Seock Chang; Mark Ainsworth; Ozan Tugluk; et al. (SMC, 2021)

Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs. - Jieyang Chen; Lipeng Wan 001; Xin Liang 001; Ben Whitney; Qing Liu 002; Qian Gong; David Pugmire; Nicholas Thompson; Jong Youl Choi; Matthew Wolf; Todd S. Munson; Ian T. Foster; et al. (CoRR, 2021)

Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition. - Qian Gong; Ben Whitney; Chengzhu Zhang; Xin Liang 001; Anand Rangarajan 001; Jieyang Chen; Lipeng Wan 001; Paul Ullrich; Qing Liu 002; Robert Jacob; Sanjay Ranka; Scott Klasky (SSDBM, 2022)

MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction. - Xin Liang 001; Ben Whitney; Jieyang Chen; Lipeng Wan 001; Qing Liu 002; Dingwen Tao; James Kress; David Pugmire; Matthew Wolf; Norbert Podhorszki; Scott Klasky (IEEE Trans. Computers, 2022)

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data. - Lipeng Wan 001; Jieyang Chen; Xin Liang 001; Ana Gainaru; Qian Gong; Qing Liu 002; Ben Whitney; Joy Arulraj; Zhengchun Liu; Ian T. Foster; Scott Klasky (HPDC, 2023)

Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network. - Jinzhen Wang; Xin Liang 001; Ben Whitney; Jieyang Chen; Qian Gong; Xubin He; Lipeng Wan 001; Scott Klasky; Norbert Podhorszki; Qing Liu 002 (ICDE, 2023)

Classical and quantum compression for edge computing: the ubiquitous data dimensionality reduction. - Maryam Bagherian; Sarah Chehade; Ben Whitney; Ali Passian (Computing, 2023)

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring. - Qian Gong; Jieyang Chen; Ben Whitney; Xin Liang 001; Viktor Reshniak; Tania Banerjee; Jaemoon Lee; Anand Rangarajan 001; Lipeng Wan 001; Nicolas Vidal 003; Qing Liu 002; Ana Gainaru; et al. (SoftwareX, 2023)

Haar-Like Wavelets on Hierarchical Trees. - Rick Archibald; Ben Whitney (J. Sci. Comput., 2024)