| PEPPA-X: finding program test inputs to bound silent data corruption vulnerability in HPC applications MH Rahman, A Shamji, S Guo, G Li Proceedings of the International Conference for High Performance Computing …, 2021 | 8 | 2021 |
| A Feature-Driven Fixed-Ratio Lossy Compression Framework for Real-World Scientific Datasets MH Rahman, S Di, K Zhao, R Underwood, G Li, F Cappello 2023 IEEE 39th International Conference on Data Engineering (ICDE), 1461-1474, 2023 | 6 | 2023 |
| Characterizing Deep Learning Neural Network Failures Between Algorithmic Inaccuracy and Transient Hardware Faults S Laskar, MH Rahman, B Zhang, G Li 2022 IEEE 27th Pacific Rim International Symposium on Dependable Computing …, 2022 | 4 | 2022 |
| TensorFI+: A Scalable Fault Injection Framework for Modern Deep Learning Neural Networks S Laskar, MH Rahman, G Li 2022 IEEE International Symposium on Software Reliability Engineering …, 2022 | 3 | 2022 |
| Investigating the impact of transient hardware faults on deep learning neural network inference MH Rahman, S Laskar, G Li Software Testing, Verification and Reliability, e1873, 2024 | 1 | 2024 |
| LibPressio-Predict: Flexible and Fast Infrastructure For Inferring Compression Performance RR Underwood, S Di, S Jin, MH Rahman, A Khan, F Cappello Proceedings of the SC'23 Workshops of The International Conference on High …, 2023 | 1 | 2023 |
| Druto: Upper-Bounding Silent Data Corruption Vulnerability in GPU Applications MH Rahman, S Di, S Guo, X Lu, G Li, F Cappello 2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2024 | | 2024 |
| A Survey on Error-Bounded Lossy Compression for Scientific Datasets S Di, J Liu, K Zhao, X Liang, R Underwood, Z Zhang, M Shah, Y Huang, ... arXiv preprint arXiv:2404.02840, 2024 | | 2024 |
| A Generic and Efficient Framework for Estimating Lossy Compressibility of Scientific Data MH Rahman, S Di, G Li, F Cappello | | |
Guanpeng LiComputer Science, University of Iowa在 uiowa.edu 的电子邮件经过验证
