| 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 | 320 | 2017 |
| 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 | 286 | 2018 |
| 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 | 171 | 2019 |
| 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 | 117 | 2022 |
| 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 | 102 | 2017 |
| 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 | 100 | 2020 |
| 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 | 97 | 2020 |
| 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 | 90 | 2018 |
| 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 | 84 | 2020 |
| 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 | 84 | 2019 |
| 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 | 83 | 2019 |
| 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 | 78 | 2017 |
| 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 | 64 | 2020 |
| 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 | 61 | 2019 |
| 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 | 60 | 2021 |
| 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 | 56 | 2016 |
| 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 | 55 | 2016 |
| Mgard+: Optimizing multilevel methods for error-bounded scientific data reduction X Liang, B Whitney, J Chen, L Wan, Q Liu, D Tao, J Kress, D Pugmire, ... IEEE Transactions on Computers 71 (7), 1522-1536, 2021 | 51 | 2021 |
| 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 | 51 | 2018 |
| 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 | 48 | 2017 |
Sheng DiArgonne National Labratory, IEEE Senior MemberVahvistettu sähköpostiosoite verkkotunnuksessa anl.gov
