Jon C. Calhoun

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 42

Top Topics

Tensor Decomposition

Scientific Data

Lossy Compression

Top Venues

Int. J. High Perform. Comput. Appl.

Publications

Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun
Scalable I/O aggregation for asynchronous multi-level checkpointing. Future Gener. Comput. Syst. 160 (2024)
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)
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 (2024)
Ruiwen Shan, Jon C. Calhoun
Light-weight Steganography for HPC Lossy Compression. DCC (2024)
Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets. CoRR (2024)
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 (2023)
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) (2023)
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 (2023)
Zheng Miao, Jon C. Calhoun, Rong Ge, Jiajia Li
Performance Implication of Tensor Irregularity and Optimization for Distributed Tensor Decomposition. ACM Trans. Parallel Comput. 10 (2) (2023)
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) (2023)
Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun
Modeling Multi-Threaded Aggregated I/O for Asynchronous Checkpointing on HPC Systems. ISPDC (2023)
Megan Hickman Fulp, Dakota Fulp, Changfeng Zou, Cooper Sanders, Ayan Biswas, Melissa C. Smith, Jon C. Calhoun
Accelerated dynamic data reduction using spatial and temporal properties. Int. J. High Perform. Comput. Appl. 37 (5) (2023)
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)
Zheng Miao, Jiajia Li, Jon C. Calhoun, Rong Ge
BALA-CPD: BALanced and Asynchronous Distributed Tensor Decomposition. CLUSTER (2022)
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) (2022)
Ruiwen Shan, Sheng Di, Jon C. Calhoun, Franck Cappello
Exploring Light-weight Cryptography for Efficient and Secure Lossy Data Compression. CLUSTER (2022)
Coleman Nichols, Megan Hickman Fulp, Nathan DeBardeleben, Jon C. Calhoun
Exploring Data Reduction Techniques for Additive Manufacturing Analysis. DRBSD@SC (2022)
Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon C. Calhoun, Franck Cappello
Efficient Error-Bounded Lossy Compression for CPU Architectures. MASCOTS (2022)
Cavender Holt, Jon C. Calhoun
Stale Data Analysis in Intelligent Transportation Platooning Models. UEMCON (2022)
Grant Wilkins, Jon C. Calhoun
Modeling Power Consumption of Lossy Compressed I/O for Exascale HPC Systems. IPDPS Workshops (2022)
Ruiwen Shan, Jon C. Calhoun
Exploring Data Corruption Inside SZ. Big Data (2022)
Megan Hickman Fulp, Dakota Fulp, Jon C. Calhoun
Estimating Potential Error in Sampling Interpolation. Big Data (2022)
Alexandra Poulos, Sally A. McKee, Jon C. Calhoun
Posits and the state of numerical representations in the age of exascale and edge computing. Softw. Pract. Exp. 52 (2) (2022)
Sansriti Ranjan, Dakota Fulp, Jon C. Calhoun
Exploring the Impacts of Software Cache Configuration for In-line Compressed Arrays. HPEC (2022)
Max H. Faykus, Bradley Selee, Jon C. Calhoun, Melissa C. Smith
Lossy Compression to Reduce Latency of Local Image Transfer for Autonomous Off-Road Perception Systems. Big Data (2022)
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 (2021)
Zheng Miao, Jon C. Calhoun, Rong Ge
Relaxed Replication for Energy Efficient and Resilient GPU Computing. FTXS@SC (2021)
Ruiwen Shan, Sheng Di, Jon C. Calhoun, Franck Cappello
Towards Combining Error-bounded Lossy Compression and Cryptography for Scientific Data. HPEC (2021)
Elvis Rojas, Diego Pérez, Jon C. Calhoun, Leonardo Bautista-Gomez, Terry Jones, Esteban Meneses
Understanding Soft Error Sensitivity of Deep Learning Models and Frameworks through Checkpoint Alteration. CLUSTER (2021)
Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun, Franck Cappello, Melissa C. Smith
Towards Aggregated Asynchronous Checkpointing. CoRR (2021)
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)
Robert Underwood, Victoriana Malvoso, Jon C. Calhoun, Sheng Di, Franck Cappello
Productive and Performant Generic Lossy Data Compression with LibPressio. DRBSD@SC (2021)
Ayan Biswas, Soumya Dutta, Earl Lawrence, John Patchett, Jon C. Calhoun, James P. Ahrens
Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis. IEEE Trans. Vis. Comput. Graph. 27 (12) (2021)
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)
Brad Green, Dillon Todd, Jon C. Calhoun, Melissa C. Smith
TIGRA: A Tightly Integrated Generic RISC-V Accelerator Interface. CLUSTER (2021)
Mizanur Rahman, Mhafuzul Islam, Jon C. Calhoun, Mashrur Chowdhury
Dynamic Error-bounded Lossy Compression (EBLC) to Reduce the Bandwidth Requirement for Real-time Vision-based Pedestrian Safety Applications. CoRR (2020)
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)
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 (2020)
Megan Hickman Fulp, Ayan Biswas, Jon C. Calhoun
Combining Spatial and Temporal Properties for Improvements in Data Reduction. IEEE BigData (2020)
Jon C. Calhoun, Franck Cappello, Luke N. Olson, Marc Snir, William D. Gropp
Exploring the feasibility of lossy compression for PDE simulations. Int. J. High Perform. Comput. Appl. 33 (2) (2019)
Pavlo Triantafyllides, Tasmia Reza, Jon C. Calhoun
Analyzing the Impact of Lossy Compressor Variability on Checkpointing Scientific Simulations. CLUSTER (2019)
Mizanur Rahman, Mhafuzul Islam, Jon C. Calhoun, Mashrur Chowdhury
Real-time Pedestrian Detection Approach with an Efficient Data Communication Bandwidth Strategy. CoRR (2018)