Ben Whitney

According to our database, Ben Whitney authored at least 22 papers between 2017 and 2024.

Collaborative distances:

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

2024

Haar-Like Wavelets on Hierarchical Trees.

Rick Archibald, Ben Whitney

J. Sci. Comput., April, 2024

2023

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring.

Qian Gong, Jieyang Chen, Ben Whitney, Xin Liang, Viktor Reshniak, Tania Banerjee, Jaemoon Lee, Anand Rangarajan, Lipeng Wan, Nicolas Vidal, Qing Liu, Ana Gainaru, Norbert Podhorszki, Richard Archibald, Sanjay Ranka, Scott Klasky

SoftwareX, December, 2023

Classical and quantum compression for edge computing: the ubiquitous data dimensionality reduction.

Maryam Bagherian, Sarah Chehade, Ben Whitney, Ali Passian

Computing, July, 2023

Improving Progressive Retrieval for HPC Scientific Data using Deep Neural Network.

Jinzhen Wang, Xin Liang, Ben Whitney, Jieyang Chen, Qian Gong, Xubin He, Lipeng Wan, Scott Klasky, Norbert Podhorszki, Qing Liu

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

RAPIDS: Reconciling Availability, Accuracy, and Performance in Managing Geo-Distributed Scientific Data.

Lipeng Wan, Jieyang Chen, Xin Liang, Ana Gainaru, Qian Gong, Qing Liu, Ben Whitney, Joy Arulraj, Zhengchun Liu, Ian T. Foster, Scott Klasky

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023

2022

MGARD+: Optimizing Multilevel Methods for Error-Bounded Scientific Data Reduction.

Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky

IEEE Trans. Computers, 2022

Region-adaptive, Error-controlled Scientific Data Compression using Multilevel Decomposition.

Qian Gong, Ben Whitney, Chengzhu Zhang, Xin Liang, Anand Rangarajan, Jieyang Chen, Lipeng Wan, Paul Ullrich, Qing Liu, Robert Jacob, Sanjay Ranka, Scott Klasky

Proceedings of the SSDBM 2022: 34th International Conference on Scientific and Statistical Database Management, Copenhagen, Denmark, July 6, 2022

2021

Scalable Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.

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

CoRR, 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

Unbalanced Parallel I/O: An Often-Neglected Side Effect of Lossy Scientific Data Compression.

Xinying Wang, Lipeng Wan, Jieyang Chen, Qian Gong, Ben Whitney, Jinzhen Wang, Ana Gainaru, Qing Liu, Norbert Podhorszki, Dongfang Zhao, Feng Yan, Scott Klasky

Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021

Error-controlled, progressive, and adaptable retrieval of scientific data with multilevel decomposition.

Xin Liang, Qian Gong, Jieyang Chen, Ben Whitney, Lipeng Wan, Qing Liu, David Pugmire, Rick Archibald, Norbert Podhorszki, Scott Klasky

Proceedings of the International Conference for High Performance Computing, 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

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

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, Junmin Gu, James Kress, Greg Eisenhauer, Berk Geveci, William F. Godoy, Mark Kim, Tahsin M. Kurç, Qing Liu, Kshitij Mehta, George Ostrouchov, Norbert Podhorszki, David Pugmire, Eric Suchyta, Nicholas Thompson, Ozan Tugluk, Lipeng Wan, Ruonan Wang, Ben Whitney, Matthew Wolf, Kesheng Wu, Scott Klasky

IEEE Data Eng. Bull., 2020

MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management.

Xin Liang, Ben Whitney, Jieyang Chen, Lipeng Wan, Qing Liu, Dingwen Tao, James Kress, David Pugmire, Matthew Wolf, Norbert Podhorszki, Scott Klasky

CoRR, 2020

Accelerating Multigrid-based Hierarchical Scientific Data Refactoring on GPUs.

Jieyang Chen, Lipeng Wan, Xin Liang, Ben Whitney, Qing Liu, Dave Pugmire, Nicholas Thompson, Matthew Wolf, Todd S. Munson, Ian T. Foster, Scott Klasky

CoRR, 2020

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

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

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

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

Compression Using Lossless Decimation: Analysis and Application.

Mark Ainsworth, Scott Klasky, Ben Whitney

SIAM J. Sci. Comput., 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