Alessandro Fanfarillo

According to our database, Alessandro Fanfarillo authored at least 24 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Experiences Readying Applications for Exascale.

Paul T. Bauman, Reuben D. Budiardja, Dmytro Bykov, Noel Chalmers, Jacqueline Chen, Nicholas Curtis, Marc Day, Markus Eisenbach, Lucas Esclapez, Alessandro Fanfarillo, William Freitag, Nicholas Frontiere, Antigoni Georgiadou, Joseph Glenski, Kalyana C. Gottiparthi, Marc T. Henry de Frahan, Gustav R. Jansen, Wayne Joubert, Justin G. Lietz, Jakub Kurzak, Nicholas Malaya, Bronson Messer, Damon McDougall, Paul Mullowney, Stephen Nichols, Matthew R. Norman, Thomas Papatheodore, Jon S. Rood, Philip C. Roth, Sarat Sreepathi, James B. White III, Noah Wolfe

CoRR, 2023

Experiences readying applications for Exascale.

Nicholas Malaya, Bronson Messer, Joseph Glenski, Antigoni Georgiadou, Justin Lietz, Kalyana C. Gottiparthi, Marc Day, Jackie Chen, Jon S. Rood, Lucas Esclapez, James B. White III, Gustav R. Jansen, Nicholas Curtis, Stephen Nichols, Jakub Kurzak, Noel Chalmers, Chip Freitag, Paul T. Bauman, Alessandro Fanfarillo, Reuben D. Budiardja, Thomas Papatheodore, Nicholas Frontiere, Damon McDougall, Matthew R. Norman, Sarat Sreepathi, Philip C. Roth, Dmytro Bykov, Noah Wolfe, Paul Mullowney, Markus Eisenbach, Marc T. Henry de Frahan, Wayne Joubert

Proceedings of the International Conference for High Performance Computing, 2023

Efficient Probabilistic Tuning of Ensemble Forecasting Method.

Alessandro Fanfarillo, Nicholas Malaya, Guido Cervone, Luca Delle Monache

Proceedings of the SC '23 Workshops of The International Conference on High Performance Computing, 2023

2021

Probabilistic forecasting using deep generative models.

Alessandro Fanfarillo, Behrooz Roozitalab, Weiming Hu, Guido Cervone

GeoInformatica, 2021

2019

Resilient computational applications using Coarray Fortran.

Alessandro Fanfarillo, Sudip Kumar Garain, Dinshaw S. Balsara, Dan Nagle

Parallel Comput., 2019

Traps, Pitfalls and Misconceptions of Machine Learning applied to Scientific Disciplines.

Davide Del Vento, Alessandro Fanfarillo

Proceedings of the Practice and Experience in Advanced Research Computing on Rise of the Machines (learning), 2019

Quantifying Uncertainty in Source Term Estimation with Tensorflow Probability.

Alessandro Fanfarillo

Proceedings of the 2019 IEEE/ACM HPC for Urgent Decision Making, 2019

Persistent coarrays: integrating MPI storage windows in coarray fortran.

Sergio Rivas-Gomez, Alessandro Fanfarillo, Sai Narasimhamurthy, Stefano Markidis

Proceedings of the 26th European MPI Users' Group Meeting, 2019

AITuning: Machine Learning-Based Tuning Tool for Run-Time Communication Libraries.

Alessandro Fanfarillo, Davide Del Vento

Proceedings of the Parallel Computing: Technology Trends, 2019

uMMAP-IO: User-Level Memory-Mapped I/O for HPC.

Sergio Rivas-Gomez, Alessandro Fanfarillo, Sébastien Valat, Christophe Laferriere, Philippe Couvée, Sai Narasimhamurthy, Stefano Markidis

Proceedings of the 26th IEEE International Conference on High Performance Computing, 2019

2018

Notified access in coarray-based hydrodynamics applications on many-core architectures: Design and performance.

Alessandro Fanfarillo, Davide Del Vento

Parallel Comput., 2018

2017

Sparse Matrix-Vector Multiplication on GPGPUs.

Salvatore Filippone, Valeria Cardellini, Davide Barbieri, Alessandro Fanfarillo

ACM Trans. Math. Softw., 2017

Coarray-based load balancing on heterogeneous and many-core architectures.

Valeria Cardellini, Alessandro Fanfarillo, Salvatore Filippone

Parallel Comput., 2017

Incremental caffeination of a terrestrial hydrological modeling framework using Fortran 2018 teams.

Damian W. I. Rouson, James L. McCreight, Alessandro Fanfarillo

Proceedings of PAW@SC 2017: Second Annual PGAS Applications Workshop, 2017

Performance portability of an intermediate-complexity atmospheric research model in coarray Fortran.

Damian W. I. Rouson, Ethan D. Gutmann, Alessandro Fanfarillo, Brian Friesen

Proceedings of PAW@SC 2017: Second Annual PGAS Applications Workshop, 2017

Notified access in coarray fortran.

Alessandro Fanfarillo, Davide Del Vento

Proceedings of the 24th European MPI Users' Group Meeting, 2017

Optimizing Communication and Synchronization in CAF Applications.

Alessandro Fanfarillo, Davide Del Vento, Patrick Nichols

Proceedings of the Parallel Computing is Everywhere, 2017

2016

CAF Events Implementation Using MPI-3 Capabilities.

Alessandro Fanfarillo, Jeff R. Hammond

Proceedings of the 23rd European MPI Users' Group Meeting, EuroMPI 2016, 2016

Heterogeneous CAF-Based Load Balancing on Intel Xeon Phi.

Valeria Cardellini, Alessandro Fanfarillo, Salvatore Filippone

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015

Hybrid Coarrays: a PGAS Feature for Many-Core Architectures.

Valeria Cardellini, Alessandro Fanfarillo, Salvatore Filippone, Damian W. I. Rouson

Proceedings of the Parallel Computing: On the Road to Exascale, 2015

2014

OpenCoarrays: Open-source Transport Layers Supporting Coarray Fortran Compilers.

Alessandro Fanfarillo, Tobias Burnus, Valeria Cardellini, Salvatore Filippone, Dan Nagle, Damian W. I. Rouson

Proceedings of the 8th International Conference on Partitioned Global Address Space Programming Models, 2014

Sparse matrix computations on clusters with GPGPUs.

Valeria Cardellini, Alessandro Fanfarillo, Salvatore Filippone

Proceedings of the International Conference on High Performance Computing & Simulation, 2014

Coarrays in GNU Fortran.

Alessandro Fanfarillo, Tobias Burnus, Valeria Cardellini, Salvatore Filippone, Dan Nagle, Damian W. I. Rouson

Proceedings of the International Conference on Parallel Architectures and Compilation, 2014

2013

Heterogeneous Sparse Matrix Computations on Hybrid GPU/CPU Platforms.

Valeria Cardellini, Alessandro Fanfarillo, Salvatore Filippone

Proceedings of the Parallel Computing: Accelerating Computational Science and Engineering (CSE), 2013