Jon Calhoun

Orcid: 0000-0001-7191-4422

Affiliations:
  • Clemson University, SC, USA


According to our database1, Jon Calhoun authored at least 53 papers between 2012 and 2024.

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Bibliography

2024
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets.
CoRR, 2024

2023
Accelerated dynamic data reduction using spatial and temporal properties.
Int. J. High Perform. Comput. Appl., September, 2023

Black-box statistical prediction of lossy compression ratios for scientific data.
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

Evaluating the Resiliency of Posits for Scientific Computing.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Recovering Detectable Uncorrectable Errors via Spatial Data Prediction.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

Lossy and Lossless Compression for BioFilm Optical Coherence Tomography (OCT).
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
OptZConfig: Efficient Parallel Optimization of Lossy Compression Configuration.
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

SIMD Lossy Compression for Scientific Data.
CoRR, 2022

Exploring Data Reduction Techniques for Additive Manufacturing Analysis.
Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022

Stale Data Analysis in Intelligent Transportation Platooning Models.
Proceedings of the 13th IEEE Annual Ubiquitous Computing, 2022

Efficient Error-Bounded Lossy Compression for CPU Architectures.
Proceedings of the 30th International Symposium on Modeling, 2022

Modeling Power Consumption of Lossy Compressed I/O for Exascale HPC Systems.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Exploring the Impacts of Software Cache Configuration for In-line Compressed Arrays.
Proceedings of the IEEE High Performance Extreme Computing Conference, 2022

Exploring Light-weight Cryptography for Efficient and Secure Lossy Data Compression.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

BALA-CPD: BALanced and Asynchronous Distributed Tensor Decomposition.
Proceedings of the IEEE International Conference on Cluster Computing, 2022

Exploring Data Corruption Inside SZ.
Proceedings of the IEEE International Conference on Big Data, 2022

Estimating Potential Error in Sampling Interpolation.
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
Probabilistic Data-Driven Sampling via Multi-Criteria Importance Analysis.
IEEE Trans. Vis. Comput. Graph., 2021

Towards Aggregated Asynchronous Checkpointing.
CoRR, 2021

Productive and Performant Generic Lossy Data Compression with LibPressio.
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

Relaxed Replication for Energy Efficient and Resilient GPU Computing.
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

TIGRA: A Tightly Integrated Generic RISC-V Accelerator Interface.
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

Combining Spatial and Temporal Properties for Improvements in Data Reduction.
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
Exploring the feasibility of lossy compression for PDE simulations.
Int. J. High Perform. Comput. Appl., 2019

FaultSight: A Fault Analysis Tool for HPC Researchers.
Proceedings of the 9th IEEE/ACM Workshop on Fault Tolerance for HPC at eXtreme Scale, 2019

Towards Data-Driven Approximate Circuit Design.
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

Energy Analysis and Optimization for Resilient Scalable Linear Systems.
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

Towards a More Complete Understanding of SDC Propagation.
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
Towards a more fault resilient multigrid solver.
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
FlipIt: An LLVM Based Fault Injector for HPC.
Proceedings of the Euro-Par 2014: Parallel Processing Workshops, 2014

2012
Preemption of a CUDA Kernel Function.
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


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