Follow
Dingwen Tao
Title
Cited by
Cited by
Year
Significantly Improving Lossy Compression for Scientific Data Sets Based on Multidimensional Prediction and Error-Controlled Quantization
D Tao, S Di, Z Chen, F Cappello
2017 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2017
2892017
Error-Controlled Lossy Compression Optimized for High Compression Ratios of Scientific Datasets
X Liang, S Di, D Tao, S Li, S Li, H Guo, Z Chen, F Cappello
2018 IEEE International Conference on Big Data (Big Data), 2018
2392018
Use cases of lossy compression for floating-point data in scientific data sets
F Cappello, S Di, S Li, X Liang, A Murat Gok, D Tao, CH Yoon, XC Wu, ...
The International Journal of High Performance Computing Applications, 2019
1442019
Computing just what you need: Online data analysis and reduction at extreme scales
I Foster, M Ainsworth, B Allen, J Bessac, F Cappello, JY Choi, ...
Euro-Par 2017: Parallel Processing: 23rd International Conference on …, 2017
942017
An Efficient Transformation Scheme for Lossy Data Compression with Point-wise Relative Error Bound
X Liang, S Di, D Tao, Z Chen, F Cappello
2018 IEEE International Conference on Cluster Computing (Cluster), 2018
842018
cuSZ: An Efficient GPU-Based Error-Bounded Lossy Compression Framework for Scientific Data
J Tian, S Di, K Zhao, C Rivera, M Hickman Fulp, R Underwood, S Jin, ...
The 29th International Conference on Parallel Architectures and Compilation …, 2020
772020
Optimizing Lossy Compression Rate-Distortion from Automatic Online Selection between SZ and ZFP
D Tao, S Di, X Liang, Z Chen, F Cappello
IEEE Transactions on Parallel and Distributed Systems, 2019
752019
SZ3: A modular framework for composing prediction-based error-bounded lossy compressors
X Liang, K Zhao, S Di, S Li, R Underwood, AM Gok, J Tian, J Deng, ...
IEEE Transactions on Big Data 9 (2), 485-498, 2022
742022
DeepSZ: A Novel Framework to Compress Deep Neural Networks by Using Error-Bounded Lossy Compression
S Jin, S Di, X Liang, J Tian, D Tao, F Cappello
The 28th ACM International Symposium on High-Performance Parallel and …, 2019
722019
Significantly Improving Lossy Compression for HPC Datasets with Second-Order Prediction and Parameter Optimization
K Zhao, S Di, X Liang, S Li, D Tao, Z Chen, F Cappello
The 29th ACM International Symposium on High-Performance Parallel and …, 2020
692020
SDRBench: Scientific data reduction benchmark for lossy compressors
K Zhao, S Di, X Lian, S Li, D Tao, J Bessac, Z Chen, F Cappello
2020 IEEE international conference on big data (big data), 2716-2724, 2020
672020
Z-checker: A Framework for Assessing Lossy Compression of Scientific Data
D Tao, S Di, H Guo, Z Chen, F Cappello
International Journal of High Performance Computing Applications, 2017
672017
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition
P Dong, S Wang, W Niu, C Zhang, S Lin, Z Li, Y Gong, B Ren, X Lin, ...
The 57th Design Automation Conference (DAC), 2020
572020
Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster
Y Fu, S Zhang, J Terrero, Y Mao, G Liu, S Li, D Tao
2019 IEEE International Conference on Big Data (Big Data), 2019
552019
New-sum: A novel online abft scheme for general iterative methods
D Tao, SL Song, S Krishnamoorthy, P Wu, X Liang, EZ Zhang, ...
The 25th ACM International Symposium on High-Performance Parallel and …, 2016
542016
Towards practical algorithm based fault tolerance in dense linear algebra
P Wu, Q Guan, N DeBardeleben, S Blanchard, D Tao, X Liang, J Chen, ...
Proceedings of the 25th ACM International Symposium on High-Performance …, 2016
512016
Improving Performance of Iterative Methods by Lossy Checkponting
D Tao, S Di, X Liang, Z Chen, F Cappello
The 27th ACM International Symposium on High-Performance Parallel and …, 2018
492018
In-Depth Exploration of Single-Snapshot Lossy Compression Techniques for N-Body Simulations
D Tao, S Di, Z Chen, F Cappello
2017 IEEE International Conference on Big Data (Big Data), 2017
432017
Exploring Autoencoder-Based Error-Bounded Compression for Scientific Data
J Liu, S Di, K Zhao, S Jin, D Tao, X Liang, Z Chen, F Cappello
2021 IEEE International Conference on Cluster Computing (CLUSTER), 294-306, 2021
422021
Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations
S Jin, P Grosset, CM Biwer, J Pulido, J Tian, D Tao, J Ahrens
2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2020
422020
The system can't perform the operation now. Try again later.
Articles 1–20