Robert Underwood

According to our database, Robert Underwood authored at least 35 papers between 1998 and 2025.

Collaborative distances:

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

2025

Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing.

Franck Cappello, Mario C. Acosta, Emmanuel Agullo, Hartwig Anzt, Jon Calhoun, Sheng Di, Luc Giraud, Thomas Grützmacher, Sian Jin, Kentaro Sano, Kento Sato, Amarjit Singh, Dingwen Tao, Jiannan Tian, Tomohiro Ueno, Robert Underwood, Frédéric Vivien, Xavier Yepes, Kazutomo Yoshii, Boyuan Zhang

Future Gener. Comput. Syst., 2025

2024

LSHBloom: Memory-efficient, Extreme-scale Document Deduplication.

Arham Khan, Robert Underwood, Carlo Siebenschuh, Yadu N. Babuji, Aswathy Ajith, Kyle Hippe, Ozan Gökdemir, Alexander Brace, Kyle Chard, Ian T. Foster

CoRR, 2024

LCP: Enhancing Scientific Data Management with Lossy Compression for Particles.

Longtao Zhang, Ruoyu Li, Congrong Ren, Sheng Di, Jinyang Liu, Jiajun Huang, Robert Underwood, Pascal Grosset, Dingwen Tao, Xin Liang, Hanqi Guo, Franck Cappello, Kai Zhao

CoRR, 2024

To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O.

Grant Wilkins, Sheng Di, Jon C. Calhoun, Robert Underwood, Franck Cappello

CoRR, 2024

HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data.

Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello

CoRR, 2024

A Survey on Error-Bounded Lossy Compression for Scientific Datasets.

Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Robert Underwood, Zhaorui Zhang, Milan Shah, Yafan Huang, Jiajun Huang, Xiaodong Yu, Congrong Ren, Hanqi Guo, Grant Wilkins, Dingwen Tao, Jiannan Tian, Sian Jin, Zizhe Jian, Daoce Wang, Md Hasanur Rahman, Boyuan Zhang, Jon C. Calhoun, Guanpeng Li, Kazutomo Yoshii, Khalid Ayedh Alharthi, Franck Cappello

CoRR, 2024

Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets.

Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello

CoRR, 2024

FRSZ2 for In-Register Block Compression Inside GMRES on GPUs.

Thomas Grützmacher, Robert Underwood, Sheng Di, Franck Cappello, Hartwig Anzt

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

SZOps: Scalar Operations for Error-bounded Lossy Compressor for Scientific Data.

Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello

Proceedings of the SC24-W: Workshops of the International Conference for High Performance Computing, 2024

cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation.

Jinyang Liu, Jiannan Tian, Shixun Wu, Sheng Di, Boyuan Zhang, Robert Underwood, Yafan Huang, Jiajun Huang, Kai Zhao, Guanpeng Li, Dingwen Tao, Zizhong Chen, Franck Cappello

Proceedings of the International Conference for High Performance Computing, 2024

CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction.

Zizhe Jian, Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Haiying Xu, Robert Underwood, Shixun Wu, Jiajun Huang, Zizhong Chen, Franck Cappello

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024

FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications.

Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello

Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024

EvoStore: Towards Scalable Storage of Evolving Learning Models.

Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae

Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024

DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models.

Avinash Maurya, Robert Underwood, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae

Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024

2023

Black-box statistical prediction of lossy compression ratios for scientific data.

Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello

Int. J. High Perform. Comput. Appl., July, 2023

SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors.

Xin Liang, Kai Zhao, Sheng Di, Sihuan Li, Robert Underwood, Ali Murat Gok, Jiannan Tian, Junjing Deng, Jon C. Calhoun, Dingwen Tao, Zizhong Chen, Franck Cappello

IEEE Trans. Big Data, April, 2023

Efficient Communication in Federated Learning Using Floating-Point Lossy Compression.

Grant Wilkins, Sheng Di, Jon C. Calhoun, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello

CoRR, 2023

Understanding Patterns of Deep Learning ModelEvolution in Network Architecture Search.

Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae

CoRR, 2023

The Modern History of ICT in Oceania - PEACESAT and USPNet.

Rieko Hayakawa, Robert Underwood, Jennifer Anson

IEEE Ann. Hist. Comput., 2023

LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance.

Robert Underwood, Sheng Di, Sian Jin, Md Hasanur Rahman, Arham Khan, Franck Cappello

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

DStore: A Lightweight Scalable Learning Model Repository with Fine-Grain Tensor-Level Access.

Meghana Madhyastha, Robert Underwood, Randal C. Burns, Bogdan Nicolae

Proceedings of the 37th International Conference on Supercomputing, 2023

A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets.

Md Hasanur Rahman, Sheng Di, Kai Zhao, Robert Underwood, Guanpeng Li, Franck Cappello

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

Understanding Patterns of Deep Learning Model Evolution in Network Architecture Search.

Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae

Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023

MPIGDB: A Flexible Debugging Infrastructure for MPI Programs.

Robert Underwood, Bogdan Nicolae

Proceedings of the 13th Workshop on AI and Scientific Computing at Scale using Flexible Computing, 2023

A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression.

Arkaprabha Ganguli, Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello

Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022

OptZConfig: Efficient Parallel Optimization of Lossy Compression Configuration.

Robert Underwood, Jon C. Calhoun, Sheng Di, Amy W. Apon, Franck Cappello

IEEE Trans. Parallel Distributed Syst., 2022

ROIBIN-SZ: Fast and Science-Preserving Compression for Serial Crystallography.

Robert Underwood, Chun Hong Yoon, Ali Murat Gok, Sheng Di, Franck Cappello

CoRR, 2022

Understanding the Effects of Modern Compressors on the Community Earth Science Model.

Robert Underwood, Julie Bessac, Sheng Di, Franck Cappello

Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022

2021

Productive and Performant Generic Lossy Data Compression with LibPressio.

Robert Underwood, Victoriana Malvoso, Jon C. Calhoun, Sheng Di, Franck Cappello

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

Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets.

David Krasowska, Julie Bessac, Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello

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

ARC: An Automated Approach to Resiliency for Lossy Compressed Data via Error Correcting Codes.

Dakota Fulp, Alexandra Poulos, Robert Underwood, Jon C. Calhoun

Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021

2020

FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data.

Robert Underwood, Sheng Di, Jon C. Calhoun, Franck Cappello

Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020

cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data.

Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello

Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020

2018

Measuring Network Latency Variation Impacts to High Performance Computing Application Performance.

Robert Underwood, Jason Anderson, Amy W. Apon

Proceedings of the 2018 ACM/SPEC International Conference on Performance Engineering, 2018

1998

A mathematical programming viewpoint for solving the ultimate pit problem.

Robert Underwood, Boleslaw Tolwinski

Eur. J. Oper. Res., 1998