Jon C. Calhoun

55 papers A 5B 7C 7Journal 23Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Exploration of LLM Lossless Compression on Scientific Data. IPDPS (Workshops) Max H. Faykus, Luanzheng Guo, Rizwan A. Ashraf, Jan Strube, Jon C. Calhoun, Nathan R. Tallent
2025	J	`jnl`	Mechanistic modeling of cell viability assays with in silico lineage tracing. PLoS Comput. Biol. Arnab Mutsuddy, Jonah R. Huggins, Aurore K. Amrit, Atalanta Manuela Harley-Gasaway, Cemal Erdem, Evan T. Jones, Olivia G. Laurine, Jon C. Calhoun, Marc R. Birtwistle
2025	—	`conf`	Performance Analysis of Inline Compression in pySDC. HPEC Emily Lattanzio, Sansriti Ranjan, Robert Underwood, Thomas Saupe, Robert Speck, Jon C. Calhoun
2025	J	`jnl`	Precision-Aware Video Compression for Reducing Bandwidth Requirements in Video Communication for Vehicle Detection-Based Applications. CoRR Abyad Enan, Jon C. Calhoun, Mashrur Chowdhury
2025	B	`conf`	SZ3_SIMD: Accelerating Error-Bounded Lossy Compression with Architecture Independent SIMD. IEEE Big Data Changfeng Zou, Bigyan Ghimire, Jon C. Calhoun
2025	A	`conf`	Sensitivity and Impacts on Parallel Compression of Prediction of Lossy Compression Ratios for Scientific Data. IPDPS Alexandra Poulos, Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello
2025	A	`conf`	To Compress or Not to Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O. IPDPS Grant Wilkins, Sheng Di, Jon C. Calhoun, Robert Underwood, Franck Cappello
2025	J	`jnl`	Towards resilient and energy efficient scalable Krylov solvers. Parallel Comput. Zheng Miao, Jon C. Calhoun, Rong Ge
2025	J	`jnl`	Understanding LLM Checkpoint/Restore I/O Strategies and Patterns. CoRR Mikaila J. Gossman, Avinash Maurya, Bogdan Nicolae, Jon C. Calhoun
2024	J	`jnl`	A Survey on Error-Bounded Lossy Compression for Scientific Datasets. CoRR 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
2024	—	`conf`	Analyzing an In-line Compression on the Matrix Matrix Multiplication Kernel. HPEC Steven Platt, Jon C. Calhoun
2024	B	`conf`	Evaluating Lossy and Lossless Compression for DICOM Medical Files. IEEE Big Data Yizhe Yang, Carson D. Sisk, Jon C. Calhoun
2024	A	`conf`	FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. ICDCS Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello
2024	—	`conf`	FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications. IPDPS (Workshops) Grant Wilkins, Sheng Di, Jon C. Calhoun, Zilinghan Li, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello
2024	B	`conf`	Light-weight Steganography for HPC Lossy Compression. DCC Ruiwen Shan, Jon C. Calhoun
2024	J	`jnl`	Scalable I/O aggregation for asynchronous multi-level checkpointing. Future Gener. Comput. Syst. Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun
2024	J	`jnl`	To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O. CoRR Grant Wilkins, Sheng Di, Jon C. Calhoun, Robert Underwood, Franck Cappello
2024	J	`jnl`	Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets. CoRR Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello
2023	C	`conf`	A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression. CLUSTER Arkaprabha Ganguli, Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello
2023	J	`jnl`	Accelerated dynamic data reduction using spatial and temporal properties. Int. J. High Perform. Comput. Appl. Megan Hickman Fulp, Dakota Fulp, Changfeng Zou, Cooper Sanders, Ayan Biswas, Melissa C. Smith, Jon C. Calhoun
2023	J	`jnl`	Black-Box Statistical Prediction of Lossy Compression Ratios for Scientific Data. CoRR Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello
2023	J	`jnl`	Black-box statistical prediction of lossy compression ratios for scientific data. Int. J. High Perform. Comput. Appl. Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello
2023	J	`jnl`	Efficient Communication in Federated Learning Using Floating-Point Lossy Compression. CoRR Grant Wilkins, Sheng Di, Jon C. Calhoun, Kibaek Kim, Robert Underwood, Richard Mortier, Franck Cappello
2023	C	`conf`	Modeling Multi-Threaded Aggregated I/O for Asynchronous Checkpointing on HPC Systems. ISPDC Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun
2023	J	`jnl`	Performance Implication of Tensor Irregularity and Optimization for Distributed Tensor Decomposition. ACM Trans. Parallel Comput. Zheng Miao, Jon C. Calhoun, Rong Ge, Jiajia Li
2023	J	`jnl`	SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. IEEE Trans. Big Data 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
2022	C	`conf`	BALA-CPD: BALanced and Asynchronous Distributed Tensor Decomposition. CLUSTER Zheng Miao, Jiajia Li, Jon C. Calhoun, Rong Ge
2022	B	`conf`	Efficient Error-Bounded Lossy Compression for CPU Architectures. MASCOTS Griffin Dube, Jiannan Tian, Sheng Di, Dingwen Tao, Jon C. Calhoun, Franck Cappello
2022	B	`conf`	Estimating Potential Error in Sampling Interpolation. IEEE Big Data Megan Hickman Fulp, Dakota Fulp, Jon C. Calhoun
2022	B	`conf`	Exploring Data Corruption Inside SZ. IEEE Big Data Ruiwen Shan, Jon C. Calhoun
2022	—	`conf`	Exploring Data Reduction Techniques for Additive Manufacturing Analysis. DRBSD@SC Coleman Nichols, Megan Hickman Fulp, Nathan DeBardeleben, Jon C. Calhoun
2022	C	`conf`	Exploring Light-weight Cryptography for Efficient and Secure Lossy Data Compression. CLUSTER Ruiwen Shan, Sheng Di, Jon C. Calhoun, Franck Cappello
2022	—	`conf`	Exploring the Impacts of Software Cache Configuration for In-line Compressed Arrays. HPEC Sansriti Ranjan, Dakota Fulp, Jon C. Calhoun
2022	B	`conf`	Lossy Compression to Reduce Latency of Local Image Transfer for Autonomous Off-Road Perception Systems. IEEE Big Data Max H. Faykus, Bradley Selee, Jon C. Calhoun, Melissa C. Smith
2022	—	`conf`	Modeling Power Consumption of Lossy Compressed I/O for Exascale HPC Systems. IPDPS Workshops Grant Wilkins, Jon C. Calhoun
2022	J	`jnl`	OptZConfig: Efficient Parallel Optimization of Lossy Compression Configuration. IEEE Trans. Parallel Distributed Syst. Robert Underwood, Jon C. Calhoun, Sheng Di, Amy W. Apon, Franck Cappello
2022	J	`jnl`	Posits and the state of numerical representations in the age of exascale and edge computing. Softw. Pract. Exp. Alexandra Poulos, Sally A. McKee, Jon C. Calhoun
2022	—	`conf`	Stale Data Analysis in Intelligent Transportation Platooning Models. UEMCON Cavender Holt, Jon C. Calhoun
2021	A	`conf`	ARC: An Automated Approach to Resiliency for Lossy Compressed Data via Error Correcting Codes. HPDC Dakota Fulp, Alexandra Poulos, Robert Underwood, Jon C. Calhoun
2021	—	`conf`	Exploring Lossy Compressibility through Statistical Correlations of Scientific Datasets. DRBSD@SC David Krasowska, Julie Bessac, Robert Underwood, Jon C. Calhoun, Sheng Di, Franck Cappello
2021	J	`jnl`	Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis. IEEE Trans. Vis. Comput. Graph. Ayan Biswas, Soumya Dutta, Earl Lawrence, John Patchett, Jon C. Calhoun, James P. Ahrens
2021	—	`conf`	Productive and Performant Generic Lossy Data Compression with LibPressio. DRBSD@SC Robert Underwood, Victoriana Malvoso, Jon C. Calhoun, Sheng Di, Franck Cappello
2021	—	`conf`	Relaxed Replication for Energy Efficient and Resilient GPU Computing. FTXS@SC Zheng Miao, Jon C. Calhoun, Rong Ge
2021	J	`jnl`	SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors. CoRR 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
2021	C	`conf`	TIGRA: A Tightly Integrated Generic RISC-V Accelerator Interface. CLUSTER Brad Green, Dillon Todd, Jon C. Calhoun, Melissa C. Smith
2021	J	`jnl`	Towards Aggregated Asynchronous Checkpointing. CoRR Mikaila J. Gossman, Bogdan Nicolae, Jon C. Calhoun, Franck Cappello, Melissa C. Smith
2021	—	`conf`	Towards Combining Error-bounded Lossy Compression and Cryptography for Scientific Data. HPEC Ruiwen Shan, Sheng Di, Jon C. Calhoun, Franck Cappello
2021	C	`conf`	Understanding Soft Error Sensitivity of Deep Learning Models and Frameworks through Checkpoint Alteration. CLUSTER Elvis Rojas, Diego Pérez, Jon C. Calhoun, Leonardo Bautista-Gomez, Terry R. Jones, Esteban Meneses
2020	—	`conf`	Combining Spatial and Temporal Properties for Improvements in Data Reduction. IEEE BigData Megan Hickman Fulp, Ayan Biswas, Jon C. Calhoun
2020	J	`jnl`	Dynamic Error-bounded Lossy Compression (EBLC) to Reduce the Bandwidth Requirement for Real-time Vision-based Pedestrian Safety Applications. CoRR Mizanur Rahman, Mhafuzul Islam, Jon C. Calhoun, Mashrur Chowdhury
2020	A	`conf`	FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data. IPDPS Robert Underwood, Sheng Di, Jon C. Calhoun, Franck Cappello
2020	J	`jnl`	FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data. CoRR Robert Underwood, Sheng Di, Jon C. Calhoun, Franck Cappello
2019	C	`conf`	Analyzing the Impact of Lossy Compressor Variability on Checkpointing Scientific Simulations. CLUSTER Pavlo Triantafyllides, Tasmia Reza, Jon C. Calhoun
2019	J	`jnl`	Exploring the feasibility of lossy compression for PDE simulations. Int. J. High Perform. Comput. Appl. Jon C. Calhoun, Franck Cappello, Luke N. Olson, Marc Snir, William D. Gropp
2018	J	`jnl`	Real-time Pedestrian Detection Approach with an Efficient Data Communication Bandwidth Strategy. CoRR Mizanur Rahman, Mhafuzul Islam, Jon C. Calhoun, Mashrur Chowdhury