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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
, Peter B. Robinson
, Jessica Semler, Jeremy White, Rushil Anirudh
, Kevin Athey
, Peer-Timo Bremer
, Francesco Di Natale
, David Fox, Jim A. Gaffney
, Sam Ade Jacobs, Bhavya Kailkhura, Bogdan Kustowski
, Steve H. Langer
, Brian K. Spears
, Jayaraman J. Thiagarajan, Brian Van Essen, Jae-Seung Yeom:
Enabling machine learning-ready HPC ensembles with Merlin. Future Gener. Comput. Syst. 131: 255-268 (2022) - [c6]Dong H. Ahn, Xiaohua Zhang
, Jeffrey Mast, Stephen Herbein, Francesco Di Natale, Dan Kirshner, Sam Ade Jacobs, Ian Karlin, Daniel J. Milroy
, Bronis R. de Supinski, Brian Van Essen, Jonathan E. Allen
, Felice C. Lightstone:
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
, Joseph R. Chavez, Fikret Aydin
, Christopher B. Stanley
, Tomas Oppelstrup, Chris Neale, Sara Kokkila Schumacher
, Dong H. Ahn, Stephen Herbein, Timothy S. Carpenter, Sandrasegaram Gnanakaran, Peer-Timo Bremer
, James N. Glosli, Felice C. Lightstone, Helgi I. Ingólfsson
:
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
, James N. Glosli, Helgi I. Ingólfsson
, Barry Rountree:
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
, Tomas Oppelstrup, Liam Stanton, Xiaohua Zhang
, Shiv Sundram, Thomas R. W. Scogland, Gautham Dharuman, Michael P. Surh, Yue Yang
, Claudia Misale, Lars Schneidenbach, Carlos H. A. Costa, Changhoan Kim, Bruce D'Amora, Sandrasegaram Gnanakaran, Dwight V. Nissley, Frederick H. Streitz, Felice C. Lightstone, Peer-Timo Bremer, James N. Glosli, Helgi I. Ingólfsson
:
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
, David Fox, Jim A. Gaffney, David Hysom, Sam Ade Jacobs, Bhavya Kailkhura, Joe Koning, Bogdan Kustowski, Steven H. Langer, Peter B. Robinson, Jessica Semler, Brian K. Spears, Jayaraman J. Thiagarajan, Brian Van Essen, Jae-Seung Yeom:
Merlin: Enabling Machine Learning-Ready HPC Ensembles. CoRR abs/1912.02892 (2019)
Coauthor Index
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last updated on 2024-07-27 16:43 CEST by the dblp team
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