| 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), 438-447, 2018 | 259 | 2018 |
| Use cases of lossy compression for floating-point data in scientific data sets F Cappello, S Di, S Li, X Liang, AM Gok, D Tao, CH Yoon, XC Wu, ... The International Journal of High Performance Computing Applications …, 2019 | 154 | 2019 |
| FT-CNN: Algorithm-based fault tolerance for convolutional neural networks K Zhao, S Di, S Li, X Liang, Y Zhai, J Chen, K Ouyang, F Cappello, ... IEEE Transactions on Parallel and Distributed Systems 32 (7), 1677-1689, 2020 | 125 | 2020 |
| 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 | 94 | 2022 |
| 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), 179-189, 2018 | 88 | 2018 |
| Cusz: An efficient gpu-based error-bounded lossy compression framework for scientific data J Tian, S Di, K Zhao, C Rivera, MH Fulp, R Underwood, S Jin, X Liang, ... Proceedings of the ACM International Conference on Parallel Architectures …, 2020 | 87 | 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 | 79 | 2020 |
| 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 Proceedings of the 29th International Symposium on High-Performance Parallel …, 2020 | 79 | 2020 |
| 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 Proceedings of the 28th International Symposium on High-Performance Parallel …, 2019 | 78 | 2019 |
| 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 30 (8), 1857-1871, 2019 | 78 | 2019 |
| New-sum: A novel online abft scheme for general iterative methods D Tao, SL Song, S Krishnamoorthy, P Wu, X Liang, EZ Zhang, ... Proceedings of the 25th ACM International Symposium on High-Performance …, 2016 | 55 | 2016 |
| 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 | 52 | 2021 |
| 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 | 51 | 2016 |
| Improving performance of iterative methods by lossy checkponting D Tao, S Di, X Liang, Z Chen, F Cappello Proceedings of the 27th international symposium on high-performance parallel …, 2018 | 50 | 2018 |
| 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 | 43 | 2021 |
| Correcting soft errors online in fast fourier transform X Liang, J Chen, D Tao, S Li, P Wu, H Li, K Ouyang, Y Liu, F Song, ... Proceedings of the International Conference for High Performance Computing …, 2017 | 43 | 2017 |
| Online algorithm-based fault tolerance for cholesky decomposition on heterogeneous systems with gpus J Chen, X Liang, Z Chen 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2016 | 43 | 2016 |
| TSM2: optimizing tall-and-skinny matrix-matrix multiplication on GPUs J Chen, N Xiong, X Liang, D Tao, S Li, K Ouyang, K Zhao, ... Proceedings of the ACM International Conference on Supercomputing, 106-116, 2019 | 40 | 2019 |
| Significantly improving lossy compression quality based on an optimized hybrid prediction model X Liang, S Di, S Li, D Tao, B Nicolae, Z Chen, F Cappello Proceedings of the International Conference for High Performance Computing …, 2019 | 39 | 2019 |
| Pastri: Error-bounded lossy compression for two-electron integrals in quantum chemistry AM Gok, S Di, Y Alexeev, D Tao, V Mironov, X Liang, F Cappello 2018 IEEE international conference on cluster computing (CLUSTER), 1-11, 2018 | 37 | 2018 |
Sheng DiArgonne National Labratory, IEEE Senior MemberVerified email at anl.gov
