Robert Underwood
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
8
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EuroPar | PTStore (Prefix Tensor Store): Distributed Prefix Caching and Replication for High Throughput Inference Serving. | Meghana Maghyastha, Robert Underwood, Randal C. Burns, Bogdan Nicolae |
| 2026 | HPDC | Bridging Information Theory and Practice for Scientific Lossy Compression. | Sujata Sinha, Sheng Di, Vishwas Rao, Robert Underwood, David Lenz, Zizhe Jian, Zhuoxun Yang, Kai Zhao, Lingjia Liu, Franck Cappello |
| 2026 | HPDC | TZ: Achieving High-Ratio Scientific Data Compression on GPUs with Global Data Decomposition. | Zhuoxun Yang, Ruoyu Li, Amit N. Subrahmanya, Vishwas Rao, Sheng Di, Robert Underwood, Longtao Zhang, Jinyang Liu, Franck Cappello, Kai Zhao |
| 2026 | HPDC | OPAL: On-demand Progressive Accelerated Scientific Lossy Compression. | Longtao Zhang, Ruoyu Li, Zhuoxun Yang, Robert Underwood, Sheng Di, Daoce Wang, Jinyang Liu, Jiajun Huang, Franck Cappello, Kai Zhao |
| 2025 | SC | What to Support When You're Compressing: The State of Practice Gaps and Opportunities for Scientific Data Compression. | Franck Cappello, Robert Underwood, Yuri Alexeev, Allison H. Baker, Ebru Bozdag, Martin Burtscher, Kyle Chard, Sheng Di, Kyle Gerard Felker, Paul Christopher O'Grady, Hanqi Guo, Yafan Huang, Peng Jiang, Sian Jin, Petter Johansson, Shaomeng Li, Xin Liang, Erik Lindahl, Peter Lindstrom, Zarija Lukic, Magnus Lundborg, Danylo Lykov, Masaru Nagaso, Kento Sato, Amarjit Singh, Seung Woo Son, Shihui Song, William Tang, Dingwen Tao, Jiannan Tian, Kazutomo Yoshii, Kai Zhao |
| 2025 | SC | Automated MCQA Benchmarking at Scale: Evaluating Reasoning Traces as Retrieval Sources for Domain Adaptation of Small Language Models. | Ozan Gkdemir, Neil Getty, Robert Underwood, Sandeep Madireddy, Franck Cappello, Arvind Ramanathan, Ian T. Foster, Rick L. Stevens |
| 2025 | SC | lsCOMP: Efficient Light Source Compression. | Yafan Huang, Sheng Di, Robert Underwood, Peco Myint, Miaoqi Chu, Guanpeng Li, Nicholas Schwarz, Franck Cappello |
| 2025 | SC | Beyond End-to-End: Understanding the Limits of LLMs in Scientific Problem Solving. | Youyuan Liu, Sheng Di, Neil Getty, Tanwi Mallick, Robert Underwood, Sian Jin |
| 2025 | SC | Exploring Distributed Vector Databases Performance on HPC Platforms: A Study with Qdrant. | Seth Ockerman, Amal Gueroudji, Song Young Oh, Robert Underwood, Nicholas Chia, Kyle Chard, Robert B. Ross, Shivaram Venkataraman |
| 2025 | SC | Benchmarking Cutting-Edge Scientific Error-Bounded Lossy Compressors on Correlation-Based Rate-Distortion. | Ziwei Qiu, Jinyang Liu, Kai Zhao, Robert Underwood, Sheng Di |
| 2024 | HPDC | DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models. | Avinash Maurya, Robert Underwood, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae |
| 2024 | HPDC | EvoStore: Towards Scalable Storage of Evolving Learning Models. | Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae |
| 2024 | ICDCS | 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 |
| 2024 | SC | 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 |
| 2024 | SC | 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 |
| 2024 | SC | FRSZ2 for In-Register Block Compression Inside GMRES on GPUs. | Thomas Grtzmacher, Robert Underwood, Sheng Di, Franck Cappello, Hartwig Anzt |
| 2023 | CLUSTER | 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 |
| 2023 | HiPC | Understanding Patterns of Deep Learning Model Evolution in Network Architecture Search. | Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae |
| 2023 | ICDE | 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 |
| 2023 | ICS | DStore: A Lightweight Scalable Learning Model Repository with Fine-Grain Tensor-Level Access. | Meghana Madhyastha, Robert Underwood, Randal C. Burns, Bogdan Nicolae |
| 2023 | SC | LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance. | Robert Underwood, Sheng Di, Sian Jin, Md Hasanur Rahman, Arham Khan, Franck Cappello |
| 2021 | HPDC | ARC: An Automated Approach to Resiliency for Lossy Compressed Data via Error Correcting Codes. | Dakota Fulp, Alexandra Poulos, Robert Underwood, Jon C. Calhoun |
| 2021 | SC | Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets. | David Krasowska, Julie Bessac, Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello |
| 2021 | SC | Productive and Performant Generic Lossy Data Compression with LibPressio. | Robert Underwood, Victoriana Malvoso, Jon C. Calhoun, Sheng Di, Franck Cappello |