Francesco Di Natale

12 papers A 3B 1C 3Journal 3Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
An eXplainable Artificial Intelligence framework to predict marine scrubbers performances.
Eng. Appl. Artif. Intell.
Luigi Piero Di Bonito, Lelio Campanile, Mauro Iacono, Francesco Di Natale
2024 C conf
Ensemble Models For Predicting CO Concentrations: Application And Explainability In Environmental Monitoring In Campania, Italy.
ECMS
Lelio Campanile, Luigi Piero Di Bonito, Francesco Di Natale, Mauro Iacono
2023 C conf
Prediction Of Chemical Plants Operating Performances: A Machine Learning Approach.
ECMS
Lelio Campanile, Luigi Piero Di Bonito, Mauro Iacono, Francesco Di Natale
2022 A conf
DFMan: A Graph-based Optimization of Dataflow Scheduling on High-Performance Computing Systems.
IPDPS
Fahim Chowdhury, Francesco Di Natale, Adam Moody, Kathryn M. Mohror, Weikuan Yu
2022 J jnl
Enabling machine learning-ready HPC ensembles with Merlin.
Future Gener. Comput. Syst.
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
2022 B conf
Scalable Composition and Analysis Techniques for Massive Scientific Workflows.
e-Science
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
2021 A conf
Generalizable coordination of large multiscale workflows: challenges and learnings at scale.
SC
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
2020 — conf
Emulating I/O Behavior in Scientific Workflows on High Performance Computing Systems.
PDSW@SC
Fahim Chowdhury, Yue Zhu, Francesco Di Natale, Adam Moody, Elsa Gonsiorowski, Kathryn M. Mohror, Weikuan Yu
2019 A conf
A massively parallel infrastructure for adaptive multiscale simulations: modeling RAS initiation pathway for cancer.
SC
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
2019 — conf
Comparing GPU Power and Frequency Capping: A Case Study with the MuMMI Workflow.
WORKS@SC
Tapasya Patki, Zachary Frye, Harsh Bhatia, Francesco Di Natale, James N. Glosli, Helgi I. Ingólfsson, Barry Rountree
2019 J jnl
Merlin: Enabling Machine Learning-Ready HPC Ensembles.
CoRR
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
2017 C conf
DBD plasma for NOx adsorption and desorption-reduction using GAC for the marine emissions control.
IAS
Luigi Amato, Nadarajah Manivannan, Wamadeva Balachandran, Francesco Di Natale, Maysam Abbod, Manickam Jayamurthy