default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRobert Underwood
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2025
[j6]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:
Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing. Future Gener. Comput. Syst. 163: 107323 (2025)- 2024
- [c19]Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae:
EvoStore: Towards Scalable Storage of Evolving Learning Models. HPDC 2024: 148-159 - [c18]Avinash Maurya, Robert Underwood, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae:
DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models. HPDC 2024: 227-239 - [c17]Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello:
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. ICDCS 2024: 577-588 - [c16]Zizhe Jian, Sheng Di, Jinyang Liu, Kai Zhao, Xin Liang, Haiying Xu, Robert Underwood, Shixun Wu, Jiajun Huang, Zizhong Chen, Franck Cappello:
CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction. IPDPS 2024: 417-429 - [c15]Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello:
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. IPDPS (Workshops) 2024: 1187-1188 - [c14]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:
cuSZ-i: High-Ratio Scientific Lossy Compression on GPUs with Optimized Multi-Level Interpolation. SC 2024: 13 - [i14]Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello:
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets. CoRR abs/2403.15953 (2024) - [i13]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:
A Survey on Error-Bounded Lossy Compression for Scientific Datasets. CoRR abs/2404.02840 (2024) - [i12]Avinash Maurya, Robert Underwood, M. Mustafa Rafique, Franck Cappello, Bogdan Nicolae:
DataStates-LLM: Lazy Asynchronous Checkpointing for Large Language Models. CoRR abs/2406.10707 (2024) - [i11]Tripti Agarwal, Sheng Di, Jiajun Huang, Yafan Huang, Ganesh Gopalakrishnan, Robert Underwood, Kai Zhao, Xin Liang, Guanpeng Li, Franck Cappello:
HoSZp: An Efficient Homomorphic Error-bounded Lossy Compressor for Scientific Data. CoRR abs/2408.11971 (2024) - [i10]Thomas Grützmacher, Robert Underwood, Sheng Di, Franck Cappello, Hartwig Anzt:
FRSZ2 for In-Register Block Compression Inside GMRES on GPUs. CoRR abs/2409.15468 (2024) - [i9]Grant Wilkins, Sheng Di, Jon C. Calhoun, Robert Underwood, Franck Cappello:
To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O. CoRR abs/2410.23497 (2024) - [i8]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:
LCP: Enhancing Scientific Data Management with Lossy Compression for Particles. CoRR abs/2411.00761 (2024) - 2023
- [j5]Rieko Hayakawa, Robert Underwood, Jennifer Anson:
The Modern History of ICT in Oceania - PEACESAT and USPNet. IEEE Ann. Hist. Comput. 45(4): 11-26 (2023) - [j4]Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello:
Black-box statistical prediction of lossy compression ratios for scientific data. Int. J. High Perform. Comput. Appl. 37(3-4): 412-433 (2023) - [j3]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:
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. IEEE Trans. Big Data 9(2): 485-498 (2023) - [c13]Arkaprabha Ganguli, Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello:
A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression. CLUSTER 2023: 247-258 - [c12]Robert Underwood, Bogdan Nicolae:
MPIGDB: A Flexible Debugging Infrastructure for MPI Programs. FlexScience@HPDC 2023: 11-18 - [c11]Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae:
Understanding Patterns of Deep Learning Model Evolution in Network Architecture Search. HiPC 2023: 97-106 - [c10]Md Hasanur Rahman, Sheng Di, Kai Zhao, Robert Underwood, Guanpeng Li, Franck Cappello:
A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets. ICDE 2023: 1461-1474 - [c9]Meghana Madhyastha, Robert Underwood, Randal C. Burns, Bogdan Nicolae:
DStore: A Lightweight Scalable Learning Model Repository with Fine-Grain Tensor-Level Access. ICS 2023: 133-143 - [c8]Robert Underwood, Sheng Di, Sian Jin, Md Hasanur Rahman, Arham Khan, Franck Cappello:
LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance. SC Workshops 2023: 272-280 - [i7]Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello:
Black-Box Statistical Prediction of Lossy Compression Ratios for Scientific Data. CoRR abs/2305.08801 (2023) - [i6]Robert Underwood, Meghana Madhyastha, Randal C. Burns, Bogdan Nicolae:
Understanding Patterns of Deep Learning ModelEvolution in Network Architecture Search. CoRR abs/2309.12576 (2023) - [i5]Grant Wilkins, Sheng Di, Jon C. Calhoun, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello:
Efficient Communication in Federated Learning Using Floating-Point Lossy Compression. CoRR abs/2312.13461 (2023) - 2022
- [j2]Robert Underwood, Jon C. Calhoun, Sheng Di, Amy W. Apon, Franck Cappello:
OptZConfig: Efficient Parallel Optimization of Lossy Compression Configuration. IEEE Trans. Parallel Distributed Syst. 33(12): 3505-3519 (2022) - [c7]Robert Underwood, Julie Bessac, Sheng Di, Franck Cappello:
Understanding the Effects of Modern Compressors on the Community Earth Science Model. DRBSD@SC 2022: 1-10 - [i4]Robert Underwood, Chun Hong Yoon, Ali Murat Gok, Sheng Di, Franck Cappello:
ROIBIN-SZ: Fast and Science-Preserving Compression for Serial Crystallography. CoRR abs/2206.11297 (2022) - 2021
- [c6]Dakota Fulp, Alexandra Poulos, Robert Underwood, Jon C. Calhoun:
ARC: An Automated Approach to Resiliency for Lossy Compressed Data via Error Correcting Codes. HPDC 2021: 57-68 - [c5]Robert Underwood, Victoriana Malvoso, Jon C. Calhoun, Sheng Di, Franck Cappello:
Productive and Performant Generic Lossy Data Compression with LibPressio. DRBSD@SC 2021: 1-10 - [c4]David Krasowska, Julie Bessac, Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello:
Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets. DRBSD@SC 2021: 47-53 - [i3]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:
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. CoRR abs/2111.02925 (2021) - 2020
- [c3]Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello:
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. PACT 2020: 3-15 - [c2]Robert Underwood, Sheng Di, Jon C. Calhoun, Franck Cappello:
FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data. IPDPS 2020: 567-577 - [i2]Robert Underwood, Sheng Di, Jon C. Calhoun, Franck Cappello:
FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data. CoRR abs/2001.06139 (2020) - [i1]Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, Jon Calhoun, Dingwen Tao, Franck Cappello:
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data. CoRR abs/2007.09625 (2020)
2010 – 2019
- 2018
- [c1]Robert Underwood, Jason Anderson, Amy W. Apon:
Measuring Network Latency Variation Impacts to High Performance Computing Application Performance. ICPE 2018: 68-79
1990 – 1999
- 1998
- [j1]Robert Underwood, Boleslaw Tolwinski:
A mathematical programming viewpoint for solving the ultimate pit problem. Eur. J. Oper. Res. 107(1): 96-107 (1998)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-19 23:09 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
