Sheng Di
Orcid: 0000-0002-7339-5256
According to our database1,
Sheng Di
authored at least 183 papers
between 2006 and 2025.
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Bibliography
2025
Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing.
Future Gener. Comput. Syst., 2025
2024
High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation.
Proc. ACM Manag. Data, February, 2024
Future Gener. Comput. Syst., 2024
To Compress or Not To Compress: Energy Trade-Offs and Benefits of Lossy Compressed I/O.
CoRR, 2024
DGRO: Diameter-Guided Ring Optimization for Integrated Research Infrastructure Membership.
CoRR, 2024
CoRR, 2024
CoRR, 2024
An Error-Bounded Lossy Compression Method with Bit-Adaptive Quantization for Particle Data.
CoRR, 2024
CoRR, 2024
Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets.
CoRR, 2024
POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters.
Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2024
Cross-System Analysis of Job Characterization and Scheduling in Large-Scale Computing Clusters.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
CliZ: Optimizing Lossy Compression for Climate Datasets with Adaptive Fine-tuned Data Prediction.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2024
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Proceedings of the 38th ACM International Conference on Supercomputing, 2024
Significantly Improving Fixed-Ratio Compression Framework for Resource-limited Applications.
Proceedings of the 53rd International Conference on Parallel Processing, 2024
Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points.
Proceedings of the 40th IEEE International Conference on Data Engineering, 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 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024
Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing, 2024
Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024
Proceedings of the IEEE International Conference on Cluster Computing, 2024
2023
IEEE Trans. Vis. Comput. Graph., December, 2023
Int. J. High Perform. Comput. Appl., July, 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
CoRR, 2023
SRN-SZ: Deep Leaning-Based Scientific Error-bounded Lossy Compression with Super-resolution Neural Networks.
CoRR, 2023
CoRR, 2023
AMRIC: A Novel In Situ Lossy Compression Framework for Efficient I/O in Adaptive Mesh Refinement Applications.
Proceedings of the International Conference for High Performance Computing, 2023
LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
cuSZp: An Ultra-fast GPU Error-bounded Lossy Compression Framework with Optimized End-to-End Performance.
Proceedings of the International Conference for High Performance Computing, 2023
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
Proceedings of the 37th International Conference on Supercomputing, 2023
Proceedings of the 37th International Conference on Supercomputing, 2023
FAZ: A flexible auto-tuned modular error-bounded compression framework for scientific data.
Proceedings of the 37th International Conference on Supercomputing, 2023
A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023
FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs.
Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing, 2023
SECRE: Surrogate-Based Error-Controlled Lossy Compression Ratio Estimation Framework.
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023
Proceedings of the 30th IEEE International Conference on High Performance Computing, 2023
Time Machine: Generative Real-Time Model for Failure (and Lead Time) Prediction in HPC Systems.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023
Proceedings of the IEEE International Conference on Cluster Computing, 2023
A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression.
Proceedings of the IEEE International Conference on Cluster Computing, 2023
Towards Improving Reverse Time Migration Performance by High-speed Lossy Compression.
Proceedings of the 23rd IEEE/ACM International Symposium on Cluster, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
Proceedings of the IEEE International Conference on Big Data, 2023
2022
IEEE Trans. Parallel Distributed Syst., 2022
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints.
IEEE Trans. Parallel Distributed Syst., 2022
Proc. VLDB Endow., 2022
CoRR, 2022
CoRR, 2022
Understanding the Effects of Modern Compressors on the Community Earth Science Model.
Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022
Understanding Impact of Lossy Compression on Derivative-related Metrics in Scientific Datasets.
Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022
Proceedings of the 8th IEEE/ACM International Workshop on Data Analysis and Reduction for Big Scientific Data, 2022
Dynamic Quality Metric Oriented Error Bounded Lossy Compression for Scientific Datasets.
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5.
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Mitigating Silent Data Corruptions in HPC Applications across Multiple Program Inputs.
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Proceedings of the PPoPP '22: 27th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Seoul, Republic of Korea, April 2, 2022
Proceedings of the 30th International Symposium on Modeling, 2022
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022
Clairvoyant: a log-based transformer-decoder for failure prediction in large-scale systems.
Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022
Proceedings of the IEEE International Conference on Cluster Computing, 2022
2021
IEEE Trans. Parallel Distributed Syst., 2021
Accelerating Parallel Applications in Cloud Platforms via Adaptive Time-Slice Control.
IEEE Trans. Computers, 2021
Online data analysis and reduction: An important Co-design motif for extreme-scale computers.
Int. J. High Perform. Comput. Appl., 2021
CoRR, 2021
Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021
Understanding Effectiveness of Multi-Error-Bounded Lossy Compression for Preserving Ranges of Interest in Scientific Analysis.
Proceedings of the 2021 7th International Workshop on Data Analysis and Reduction for Big Scientific Data, 2021
Proceedings of the International Conference for High Performance Computing, 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
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
Optimizing Error-Bounded Lossy Compression for Scientific Data by Dynamic Spline Interpolation.
Proceedings of the 37th IEEE International Conference on Data Engineering, 2021
Towards Combining Error-bounded Lossy Compression and Cryptography for Scientific Data.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
Optimizing Multi-Range based Error-Bounded Lossy Compression for Scientific Datasets.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Proceedings of the IEEE International Conference on Cluster Computing, 2021
Improving Lossy Compression for SZ by Exploring the Best-Fit Lossless Compression Techniques.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
2020
Performance Optimization for Relative-Error-Bounded Lossy Compression on Scientific Data.
IEEE Trans. Parallel Distributed Syst., 2020
Proceedings of the Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI, 2020
waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data.
Proceedings of the PPoPP '20: 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 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
Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization.
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020
Towards End-to-end SDC Detection for HPC Applications Equipped with Lossy Compression.
Proceedings of the IEEE International Conference on Cluster Computing, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
Proceedings of the 2020 IEEE Pacific Visualization Symposium, 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
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP.
IEEE Trans. Parallel Distributed Syst., 2019
Efficient Lossy Compression for Scientific Data Based on Pointwise Relative Error Bound.
IEEE Trans. Parallel Distributed Syst., 2019
IEEE Trans. Parallel Distributed Syst., 2019
Int. J. High Perform. Comput. Appl., 2019
Int. J. High Perform. Comput. Appl., 2019
Proceedings of the International Conference for High Performance Computing, 2019
Significantly improving lossy compression quality based on an optimized hybrid prediction model.
Proceedings of the International Conference for High Performance Computing, 2019
Proceedings of the International Conference for High Performance Computing, 2019
Accelerating Relative-error Bounded Lossy Compression for HPC datasets with Precomputation-Based Mechanisms.
Proceedings of the 35th Symposium on Mass Storage Systems and Technologies, 2019
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression.
Proceedings of the 28th International Symposium on High-Performance Parallel and Distributed Computing, 2019
Accelerating Lossy Compression on HPC Datasets via Partitioning Computation for Parallel Processing.
Proceedings of the 21st IEEE International Conference on High Performance Computing and Communications; 17th IEEE International Conference on Smart City; 5th IEEE International Conference on Data Science and Systems, 2019
Characterizing and Understanding HPC Job Failures Over The 2K-Day Life of IBM BlueGene/Q System.
Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019
Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019
2018
IEEE Trans. Parallel Distributed Syst., 2018
IEEE Trans. Parallel Distributed Syst., 2018
IEEE Trans. Knowl. Data Eng., 2018
Exploring the capabilities of support vector machines in detecting silent data corruptions.
Sustain. Comput. Informatics Syst., 2018
CoRR, 2018
Proceedings of the 8th IEEE Symposium on Large Data Analysis and Visualization, 2018
Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 2018
Proceedings of the 18th Eurographics Symposium on Parallel Graphics and Visualization, 2018
Proceedings of the 14th IEEE International Conference on e-Science, 2018
Proceedings of the IEEE International Conference on Cluster Computing, 2018
An Efficient Transformation Scheme for Lossy Data Compression with Point-Wise Relative Error Bound.
Proceedings of the IEEE International Conference on Cluster Computing, 2018
PaSTRI: Error-Bounded Lossy Compression for Two-Electron Integrals in Quantum Chemistry.
Proceedings of the IEEE International Conference on Cluster Computing, 2018
Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018
2017
IEEE Trans. Parallel Distributed Syst., 2017
IEEE Trans. Parallel Distributed Syst., 2017
Toward General Software Level Silent Data Corruption Detection for Parallel Applications.
IEEE Trans. Parallel Distributed Syst., 2017
Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets.
Proceedings of the High Performance Computing, 2017
Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization.
Proceedings of the 2017 IEEE International Parallel and Distributed Processing Symposium, 2017
Proceedings of the 23rd IEEE International Conference on Parallel and Distributed Systems, 2017
Proceedings of the Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 2017
Understanding and Improving the Trust in Results of Numerical Simulations and Scientific Data Analytics.
Proceedings of the Euro-Par 2017: Parallel Processing Workshops, 2017
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017
In-depth exploration of single-snapshot lossy compression techniques for N-body simulations.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
IEEE Trans. Parallel Distributed Syst., 2016
Dynamic resource scheduling in cloud radio access network with mobile cloud computing.
Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016
Dynamic Acceleration of Parallel Applications in Cloud Platforms by Adaptive Time-Slice Control.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016
Exploring Partial Replication to Improve Lightweight Silent Data Corruption Detection for HPC Applications.
Proceedings of the Euro-Par 2016: Parallel Processing, 2016
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016
2015
IEEE Trans. Parallel Distributed Syst., 2015
IEEE Trans. Cloud Comput., 2015
IEEE Trans. Computers, 2015
Softw. Pract. Exp., 2015
Proceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2015
Lightweight Silent Data Corruption Detection Based on Runtime Data Analysis for HPC Applications.
Proceedings of the 24th International Symposium on High-Performance Parallel and Distributed Computing, 2015
An Efficient Silent Data Corruption Detection Method with Error-Feedback Control and Even Sampling for HPC Applications.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015
2014
J. Supercomput., 2014
IEEE Trans. Cloud Comput., 2014
Google hostload prediction based on Bayesian model with optimized feature combination.
J. Parallel Distributed Comput., 2014
Proceedings of the International Conference for High Performance Computing, 2014
Proceedings of the 2014 IEEE 28th International Parallel and Distributed Processing Symposium, 2014
Proceedings of the 23rd International Symposium on High-Performance Parallel and Distributed Computing, 2014
Proceedings of the 2014 IEEE International Conference on Cluster Computing, 2014
2013
IEEE Trans. Parallel Distributed Syst., 2013
Dynamic Optimization of Multiattribute Resource Allocation in Self-Organizing Clouds.
IEEE Trans. Parallel Distributed Syst., 2013
Comput. Electr. Eng., 2013
Proceedings of the International Conference for High Performance Computing, 2013
Proceedings of the 21st IEEE/ACM International Symposium on Quality of Service, 2013
Proceedings of the 42nd International Conference on Parallel Processing, 2013
Proceedings of the 20th Annual International Conference on High Performance Computing, 2013
Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013
2012
J. Parallel Distributed Comput., 2012
Proceedings of the SC Conference on High Performance Computing Networking, 2012
Proceedings of the 2012 IEEE International Conference on Cluster Computing, 2012
2011
Proceedings of the IEEE 4th International Conference on Utility and Cloud Computing, 2011
Proceedings of the International Conference on Parallel Processing, 2011
Proceedings of the International Conference on Parallel Processing, 2011
Proceedings of the 2011 International Conference on Cloud and Service Computing, 2011
2010
Proceedings of the 39th International Conference on Parallel Processing, 2010
Proceedings of the 2010 11th IEEE/ACM International Conference on Grid Computing, 2010
2008
Proceedings of the Second International Conference on the Digital Society (ICDS 2008), 2008
2007
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007
Proceedings of the Cooperative Design, 2007
Proceedings of the 21st International Conference on Advanced Information Networking and Applications (AINA 2007), 2007
2006
GlobalWatch: A Distributed Service Grid Monitoring Platform with High Flexibility and Usability.
Proceedings of The 1st IEEE Asia-Pacific Services Computing Conference, 2006