| Fast error-bounded lossy HPC data compression with SZ S Di, F Cappello 2016 ieee international parallel and distributed processing symposium (ipdps …, 2016 | 563 | 2016 |
| 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 | 324 | 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), 438-447, 2018 | 283 | 2018 |
| Host load prediction in a Google compute cloud with a Bayesian model S Di, D Kondo, W Cirne SC'12: Proceedings of the International Conference on High Performance …, 2012 | 225 | 2012 |
| Characterization and comparison of cloud versus grid workloads S Di, D Kondo, W Cirne 2012 IEEE International Conference on Cluster Computing, 230-238, 2012 | 217 | 2012 |
| 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 33 (6 …, 2019 | 172 | 2019 |
| Full-state quantum circuit simulation by using data compression XC Wu, S Di, EM Dasgupta, F Cappello, H Finkel, Y Alexeev, FT Chong Proceedings of the International Conference for High Performance Computing …, 2019 | 148 | 2019 |
| Characterizing cloud applications on a Google data center S Di, D Kondo, F Cappello 2013 42nd International Conference on Parallel Processing, 468-473, 2013 | 145 | 2013 |
| 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 | 143 | 2020 |
| Optimizing error-bounded lossy compression for scientific data by dynamic spline interpolation K Zhao, S Di, M Dmitriev, TLD Tonellot, Z Chen, F Cappello 2021 IEEE 37th International Conference on Data Engineering (ICDE), 1643-1654, 2021 | 139 | 2021 |
| Optimization of multi-level checkpoint model for large scale HPC applications S Di, MS Bouguerra, L Bautista-Gomez, F Cappello 2014 IEEE 28th international parallel and distributed processing symposium …, 2014 | 125 | 2014 |
| Dynamic optimization of multiattribute resource allocation in self-organizing clouds S Di, CL Wang IEEE Transactions on parallel and distributed systems 24 (3), 464-478, 2012 | 120 | 2012 |
| 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 | 119 | 2022 |
| Dynamic resource scheduling in mobile edge cloud with cloud radio access network X Wang, K Wang, S Wu, S Di, H Jin, K Yang, S Ou IEEE Transactions on Parallel and Distributed Systems 29 (11), 2429-2445, 2018 | 116 | 2018 |
| Optimization of cloud task processing with checkpoint-restart mechanism S Di, Y Robert, F Vivien, D Kondo, CL Wang, F Cappello Proceedings of the International Conference on High Performance Computing …, 2013 | 105 | 2013 |
| Lightweight silent data corruption detection based on runtime data analysis for HPC applications E Berrocal, L Bautista-Gomez, S Di, Z Lan, F Cappello Proceedings of the 24th International Symposium on High-Performance Parallel …, 2015 | 103 | 2015 |
| Towards optimized fine-grained pricing of IaaS cloud platform H Jin, X Wang, S Wu, S Di, X Shi IEEE Transactions on cloud Computing 3 (4), 436-448, 2014 | 102 | 2014 |
| 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 | 101 | 2020 |
| 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 | 101 | 2017 |
| 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 | 98 | 2020 |
Franck CappelloArgonne National Laboratory, IEEE Fellow在 anl.gov 的電子郵件地址已通過驗證