| Fast error-bounded lossy HPC data compression with SZ S Di, F Cappello 2016 ieee international parallel and distributed processing symposium (ipdps …, 2016 | 227 | 2016 |
| Characterization and comparison of cloud versus grid workloads S Di, D Kondo, W Cirne 2012 IEEE International Conference on Cluster Computing, 230-238, 2012 | 174 | 2012 |
| 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 | 165 | 2012 |
| 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 | 125 | 2017 |
| Characterizing cloud applications on a Google data center S Di, D Kondo, F Cappello 2013 42nd International Conference on Parallel Processing, 468-473, 2013 | 114 | 2013 |
| 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 | 103 | 2012 |
| 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 | 95 | 2014 |
| 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 | 93 | 2014 |
| 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 | 87 | 2015 |
| 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 | 87 | 2013 |
| 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 | 60 | 2018 |
| Error-tolerant resource allocation and payment minimization for cloud system S Di, CL Wang IEEE Transactions on Parallel and Distributed Systems 24 (6), 1097-1106, 2012 | 57 | 2012 |
| Toward an optimal online checkpoint solution under a two-level HPC checkpoint model S Di, Y Robert, F Vivien, F Cappello IEEE Transactions on parallel and distributed systems 28 (1), 244-259, 2016 | 55 | 2016 |
| 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, ... European conference on parallel processing, 3-19, 2017 | 54 | 2017 |
| Google hostload prediction based on Bayesian model with optimized feature combination S Di, D Kondo, W Cirne Journal of Parallel and Distributed Computing 74 (1), 1820-1832, 2014 | 53 | 2014 |
| Adaptive impact-driven detection of silent data corruption for HPC applications S Di, F Cappello IEEE Transactions on Parallel and Distributed Systems 27 (10), 2809-2823, 2016 | 51 | 2016 |
| 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 | 42 | 2018 |
| GloudSim: Google trace based cloud simulator with virtual machines S Di, F Cappello Software: Practice and Experience 45 (11), 1571-1590, 2015 | 38 | 2015 |
| Characterizing and modeling cloud applications/jobs on a Google data center S Di, D Kondo, F Cappello The Journal of Supercomputing 69 (1), 139-160, 2014 | 38 | 2014 |
| An efficient silent data corruption detection method with error-feedback control and even sampling for HPC applications S Di, E Berrocal, F Cappello 2015 15th IEEE/ACM International Symposium on Cluster, Cloud and Grid …, 2015 | 36 | 2015 |
Franck CappelloArgonne National Laboratory, IEEE FellowEmail verificata su anl.gov
