Dingwen Tao
Orcid: 0000-0001-5422-4497Affiliations:
- Indiana University, Bloomington, IN, USA
According to our database1,
Dingwen Tao
authored at least 95 papers
between 2014 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Parallel Distributed Syst., March, 2024
Proc. VLDB Endow., February, 2024
Concealing Compression-accelerated I/O for HPC Applications through In Situ Task Scheduling.
Proceedings of the Nineteenth European Conference on Computer Systems, 2024
2023
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors.
IEEE Trans. Big Data, April, 2023
Design of a Quantization-Based DNN Delta Compression Framework for Model Snapshots and Federated Learning.
IEEE Trans. Parallel Distributed Syst., March, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 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
Analyzing Impact of Data Reduction Techniques on Visualization for AMR Applications Using AMReX Framework.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
Demystifying and Mitigating Cross-Layer Deficiencies of Soft Error Protection in Instruction Duplication.
Proceedings of the International Conference for High Performance Computing, 2023
Benchmarking and In-depth Performance Study of Large Language Models on Habana Gaudi Processors.
Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023
TDC: Towards Extremely Efficient CNNs on GPUs via Hardware-Aware Tucker Decomposition.
Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming, 2023
Proceedings of the 37th International Conference on Supercomputing, 2023
Software-Hardware Co-design of Heterogeneous SmartNIC System for Recommendation Models Inference and Training.
Proceedings of the 37th International Conference on Supercomputing, 2023
HEAT: A Highly Efficient and Affordable Training System for Collaborative Filtering Based Recommendation on CPUs.
Proceedings of the 37th International Conference on Supercomputing, 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
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Optimizing Error-Bounded Lossy Compression for Scientific Data With Diverse Constraints.
IEEE Trans. Parallel Distributed Syst., 2022
IEEE Trans. Computers, 2022
Speculative Container Scheduling for Deep Learning Applications in a Kubernetes Cluster.
IEEE Syst. J., 2022
Proc. VLDB Endow., 2022
SOLAR: A Highly Optimized Data Loading Framework for Distributed Training of CNN-based Scientific Surrogates.
CoRR, 2022
Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.
CoRR, 2022
CoRR, 2022
Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5.
Proceedings of the SC22: International Conference for High Performance Computing, 2022
Proceedings of the 30th International Symposium on Modeling, 2022
Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022
CEAZ: accelerating parallel I/O via hardware-algorithm co-designed adaptive lossy compression.
Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 2022
Bring orders into uncertainty: enabling efficient uncertain graph processing via novel path sampling on multi-accelerator systems.
Proceedings of the ICS '22: 2022 International Conference on Supercomputing, Virtual Event, June 28, 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
TAC: Optimizing Error-Bounded Lossy Compression for Three-Dimensional Adaptive Mesh Refinement Simulations.
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 32nd International Conference on Field-Programmable Logic and Applications, 2022
HBMax: Optimizing Memory Efficiency for Parallel Influence Maximization on Multicore Architectures.
Proceedings of the International Conference on Parallel Architectures and Compilation Techniques, 2022
2021
COMET: A Novel Memory-Efficient Deep Learning Training Framework by Using Error-Bounded Lossy Compression.
Proc. VLDB Endow., 2021
J. Parallel Distributed Comput., 2021
CEAZ: Accelerating Parallel I/O via Hardware-Algorithm Co-Design of Efficient and Adaptive Lossy Compression.
CoRR, 2021
CoRR, 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 PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021
A novel memory-efficient deep learning training framework via error-bounded lossy compression.
Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021
Proceedings of the 35th IEEE International Parallel and Distributed Processing Symposium, 2021
ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning.
Proceedings of the ICS '21: 2021 International Conference on Supercomputing, 2021
Adaptive Configuration of In Situ Lossy Compression for Cosmology Simulations via Fine-Grained Rate-Quality Modeling.
Proceedings of the HPDC '21: The 30th International Symposium on High-Performance Parallel and Distributed Computing, 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 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
Characterizing Impacts of Storage Faults on HPC Applications: A Methodology and Insights.
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
An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning.
CoRR, 2020
MGARD+: Optimizing Multi-grid Based Reduction for Efficient Scientific Data Management.
CoRR, 2020
CoRR, 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
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations.
Proceedings of the 2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2020
Delta-DNN: Efficiently Compressing Deep Neural Networks via Exploiting Floats Similarity.
Proceedings of the ICPP 2020: 49th International Conference on Parallel Processing, 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
Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020
LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs.
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
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
Int. J. High Perform. Comput. Appl., 2019
Int. J. High Perform. Comput. Appl., 2019
Significantly improving lossy compression quality based on an optimized hybrid prediction model.
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
Proceedings of the ACM International Conference on Supercomputing, 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
Improving Performance of Data Dumping with Lossy Compression for Scientific Simulation.
Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019
2018
PhD thesis, 2018
Proceedings of the International Conference for High Performance Computing, 2018
Proceedings of the 27th International Symposium on High-Performance Parallel and Distributed Computing, 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
2017
Exploration of Pattern-Matching Techniques for Lossy Compression on Cosmology Simulation Data Sets.
Proceedings of the High Performance Computing, 2017
Proceedings of the International Conference for High Performance Computing, 2017
Proceedings of the 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 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 Euro-Par 2017: Parallel Processing - 23rd International Conference on Parallel and Distributed Computing, Santiago de Compostela, Spain, August 28, 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
Proceedings of the International Conference for High Performance Computing, 2016
Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 2016
Proceedings of the 25th ACM International Symposium on High-Performance Parallel and Distributed Computing, 2016
2014
Proceedings of the 20th IEEE International Conference on Parallel and Distributed Systems, 2014