| FT K-Means: A High-Performance K-Means on GPU with Fault Tolerance S Wu, Y Ding, Y Zhai, J Liu, J Huang, Z Jian, H Dai, S Di, BM Wong, ... arXiv preprint arXiv:2408.01391, 2024 | | 2024 |
| A survey on checkpointing strategies: Should we always checkpoint à la Young/Daly? L Bautista-Gomez, A Benoit, S Di, T Herault, Y Robert, H Sun Future Generation Computer Systems, 2024 | 1 | 2024 |
| Multifacets of lossy compression for scientific data in the Joint-Laboratory of Extreme Scale Computing F Cappello, S Di, R Underwood, D Tao, J Calhoun, Y Kazutomo, K Sato, ... Future Generation Computer Systems, 2024 | | 2024 |
| gzccl: Compression-accelerated collective communication framework for gpu clusters J Huang, S Di, X Yu, Y Zhai, J Liu, Y Huang, K Raffenetti, H Zhou, K Zhao, ... Proceedings of the 38th ACM International Conference on Supercomputing, 437-448, 2024 | 2 | 2024 |
| FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications G Wilkins, S Di, JC Calhoun, Z Li, K Kim, R Underwood, R Mortier, ... 2024 IEEE International Parallel and Distributed Processing Symposium …, 2024 | | 2024 |
| 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 |
| CliZ: Optimizing lossy compression for climate datasets with adaptive fine-tuned data prediction Z Jian, S Di, J Liu, K Zhao, X Liang, H Xu, R Underwood, S Wu, J Huang, ... 2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2024 | 2 | 2024 |
| An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression J Huang, S Di, X Yu, Y Zhai, Z Zhang, J Liu, X Lu, K Raffenetti, H Zhou, ... 2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2024 | 4 | 2024 |
| Cross-System Analysis of Job Characterization and Scheduling in Large-Scale Computing Clusters D Zhang, MS Raj, B Xie, S Di, D Dai 2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS …, 2024 | | 2024 |
| Preserving Topological Feature with Sign-of-Determinant Predicates in Lossy Compression: A Case Study of Vector Field Critical Points M Xia, S Di, F Cappello, P Jiao, K Zhao, J Liu, X Wu, X Liang, H Guo 2024 IEEE 40th International Conference on Data Engineering (ICDE), 4979-4992, 2024 | 1 | 2024 |
| TurboFFT: A High-Performance Fast Fourier Transform with Fault Tolerance on GPU S Wu, Y Zhai, J Liu, J Huang, Z Jian, H Dai, S Di, Z Chen, F Cappello arXiv preprint arXiv:2405.02520, 2024 | 1 | 2024 |
| Concealing compression-accelerated i/o for hpc applications through in situ task scheduling S Jin, S Di, F Vivien, D Wang, Y Robert, D Tao, F Cappello Proceedings of the Nineteenth European Conference on Computer Systems, 981-998, 2024 | 6 | 2024 |
| FedFa: A Fully Asynchronous Training Paradigm for Federated Learning H Xu, Z Zhang, S Di, B Liu, A Khalid, J Cao arXiv preprint arXiv:2404.11015, 2024 | | 2024 |
| An Error-Bounded Lossy Compression Method with Bit-Adaptive Quantization for Particle Data C Ren, S Di, L Zhang, K Zhao, H Guo arXiv preprint arXiv:2404.02826, 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 |
| High-performance Effective Scientific Error-bounded Lossy Compression with Auto-tuned Multi-component Interpolation J Liu, S Di, K Zhao, X Liang, S Jin, Z Jian, J Huang, S Wu, Z Chen, ... Proceedings of the ACM on Management of Data 2 (1), 1-27, 2024 | 6 | 2024 |
| Understanding The Effectiveness of Lossy Compression in Machine Learning Training Sets R Underwood, JC Calhoun, S Di, F Cappello arXiv preprint arXiv:2403.15953, 2024 | 1 | 2024 |
| POSTER: Optimizing Collective Communications with Error-bounded Lossy Compression for GPU Clusters J Huang, S Di, X Yu, Y Zhai, J Liu, Y Huang, K Raffenetti, H Zhou, K Zhao, ... Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and …, 2024 | 1 | 2024 |
| FastqZip: An Improved Reference-Based Genome Sequence Lossy Compression Framework Y Liu, H Luo, Z Han, Y Hu, Y Yang, K Chard, S Di, I Foster, J Wu arXiv preprint arXiv:2404.02163, 2024 | | 2024 |
| Efficient Communication in Federated Learning Using Floating-Point Lossy Compression G Wilkins, S Di, JC Calhoun, K Kim, R Underwood, F Cappello arXiv preprint arXiv:2312.13461, 2023 | 2 | 2023 |
Franck CappelloArgonne National Laboratory, IEEE FellowVerified email at anl.gov