Jon Calhoun
Orcid: 0000-0001-7191-4422Affiliations:
- Clemson University, SC, USA
According to our database1,
Jon Calhoun
authored at least 59 papers
between 2012 and 2025.
Collaborative distances:
Collaborative distances:
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Online presence:
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on clemson.edu
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on orcid.org
On csauthors.net:
Bibliography
2025
Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing.
Future Gener. Comput. Syst., 2025
2024
Future Gener. Comput. Syst., 2024
To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O.
CoRR, 2024
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets.
CoRR, 2024
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications.
Proceedings of the 44th IEEE International Conference on Distributed Computing Systems, 2024
Proceedings of the Data Compression Conference, 2024
2023
Int. J. High Perform. Comput. Appl., September, 2023
Int. J. High Perform. Comput. Appl., July, 2023
Performance Implication of Tensor Irregularity and Optimization for Distributed Tensor Decomposition.
ACM Trans. Parallel Comput., June, 2023
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors.
IEEE Trans. Big Data, April, 2023
Efficient Communication in Federated Learning Using Floating-Point Lossy Compression.
CoRR, 2023
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Modeling Multi-Threaded Aggregated I/O for Asynchronous Checkpointing on HPC Systems.
Proceedings of the 22nd International Symposium on Parallel and Distributed Computing, 2023
A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression.
Proceedings of the IEEE International Conference on Cluster Computing, 2023
2022
IEEE Trans. Parallel Distributed Syst., 2022
Critique of "MemXCT: Memory-Centric X-Ray CT Reconstruction With Massive Parallelization" by SCC Team From Clemson University.
IEEE Trans. Parallel Distributed Syst., 2022
Posits and the state of numerical representations in the age of exascale and edge computing.
Softw. Pract. Exp., 2022
Dynamic error-bounded lossy compression to reduce the bandwidth requirement for real-time vision-based pedestrian safety applications.
J. Real Time Image Process., 2022
Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022
Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022
Proceedings of the 30th International Symposium on Modeling, 2022
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022
Proceedings of the IEEE International Conference on Cluster Computing, 2022
Proceedings of the IEEE International Conference on Cluster Computing, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Proceedings of the IEEE International Conference on Big Data, 2022
Lossy Compression to Reduce Latency of Local Image Transfer for Autonomous Off-Road Perception Systems.
Proceedings of the IEEE International Conference on Big Data, 2022
2021
IEEE Trans. Vis. Comput. Graph., 2021
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.
Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021
Towards Combining Error-bounded Lossy Compression and Cryptography for Scientific Data.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
ARC: An Automated Approach to Resiliency for Lossy Compressed Data via Error Correcting Codes.
Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 2021
Proceedings of the 11th IEEE/ACM Workshop on Fault Tolerance for HPC at eXtreme Scale, 2021
Understanding Soft Error Sensitivity of Deep Learning Models and Frameworks through Checkpoint Alteration.
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
2020
Dynamic Error-bounded Lossy Compression (EBLC) to Reduce the Bandwidth Requirement for Real-time Vision-based Pedestrian Safety Applications.
CoRR, 2020
FRaZ: A Generic High-Fidelity Fixed-Ratio Lossy Compression Framework for Scientific Floating-point Data.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data.
Proceedings of the PACT '20: International Conference on Parallel Architectures and Compilation Techniques, 2020
2019
Int. J. High Perform. Comput. Appl., 2019
Proceedings of the 9th IEEE/ACM Workshop on Fault Tolerance for HPC at eXtreme Scale, 2019
Proceedings of the 2019 IEEE Computer Society Annual Symposium on VLSI, 2019
Analyzing the Impact of Lossy Compressor Variability on Checkpointing Scientific Simulations.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019
2018
Real-time Pedestrian Detection Approach with an Efficient Data Communication Bandwidth Strategy.
CoRR, 2018
Proceedings of the IEEE International Conference on Cluster Computing, 2018
2017
From detection to optimization: impact of soft errors on high-performance computing applications
PhD thesis, 2017
Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, 2017
2016
IPAS: intelligent protection against silent output corruption in scientific applications.
Proceedings of the 2016 International Symposium on Code Generation and Optimization, 2016
2015
Proceedings of the Symposium on High Performance Computing, 2015
Understanding the Propagation of Error Due to a Silent Data Corruption in a Sparse Matrix Vector Multiply.
Proceedings of the 2015 IEEE International Conference on Cluster Computing, 2015
2014
Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014
2012
Proceedings of the 13th ACIS International Conference on Software Engineering, 2012
Acceleration of Generalized Minimum Aberration Designs of Hadamard Matrices on Graphics Processing Units.
Proceedings of the 14th IEEE International Conference on High Performance Computing and Communication & 9th IEEE International Conference on Embedded Software and Systems, 2012