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Francesco Di Natale
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2020 – today
- 2024
- [c8]Lelio Campanile, Luigi Piero Di Bonito, Francesco Di Natale, Mauro Iacono:
Ensemble Models For Predicting CO Concentrations: Application And Explainability In Environmental Monitoring In Campania, Italy. ECMS 2024: 558-564 - 2023
- [c7]Lelio Campanile, Luigi Piero Di Bonito, Mauro Iacono, Francesco Di Natale:
Prediction Of Chemical Plants Operating Performances: A Machine Learning Approach. ECMS 2023: 575-581 - 2022
- [j1]J. Luc Peterson
, Benjamin Bay, Joe Koning
Enabling machine learning-ready HPC ensembles with Merlin. Future Gener. Comput. Syst. 131: 255-268 (2022) - [c6]Dong H. Ahn, Xiaohua Zhang
Scalable Composition and Analysis Techniques for Massive Scientific Workflows. e-Science 2022: 32-43 - [c5]Fahim Chowdhury, Francesco Di Natale, Adam Moody, Kathryn M. Mohror, Weikuan Yu
DFMan: A Graph-based Optimization of Dataflow Scheduling on High-Performance Computing Systems. IPDPS 2022: 368-378 - 2021
- [c4]Harsh Bhatia, Francesco Di Natale, Joseph Y. Moon, Xiaohua Zhang
Generalizable coordination of large multiscale workflows: challenges and learnings at scale. SC 2021: 10 - 2020
- [c3]Fahim Chowdhury, Yue Zhu, Francesco Di Natale, Adam Moody, Elsa Gonsiorowski, Kathryn M. Mohror, Weikuan Yu:
Emulating I/O Behavior in Scientific Workflows on High Performance Computing Systems. PDSW@SC 2020: 34-39
2010 – 2019
- 2019
- [c2]Tapasya Patki, Zachary Frye, Harsh Bhatia, Francesco Di Natale
Comparing GPU Power and Frequency Capping: A Case Study with the MuMMI Workflow. WORKS@SC 2019: 31-39 - [c1]Francesco Di Natale, Harsh Bhatia, Timothy S. Carpenter, Chris Neale, Sara Kokkila Schumacher
A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer. SC 2019: 57:1-57:16 - [i1]J. Luc Peterson, Rushil Anirudh, Kevin Athey, Benjamin Bay, Peer-Timo Bremer, Vic Castillo, Francesco Di Natale
Merlin: Enabling Machine Learning-Ready HPC Ensembles. CoRR abs/1912.02892 (2019)
Coauthor Index
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