Heterogeneous Sparse Matrix Computations on Hybrid GPU/CPU Platforms. - Valeria Cardellini; Alessandro Fanfarillo; Salvatore Filippone (PARCO, 2013)

Coarrays in GNU Fortran. - Alessandro Fanfarillo; Tobias Burnus; Valeria Cardellini; Salvatore Filippone; Dan Nagle; Damian W. I. Rouson (PACT, 2014)

Sparse matrix computations on clusters with GPGPUs. - Valeria Cardellini; Alessandro Fanfarillo; Salvatore Filippone (HPCS, 2014)

OpenCoarrays: Open-source Transport Layers Supporting Coarray Fortran Compilers. - Alessandro Fanfarillo; Tobias Burnus; Valeria Cardellini; Salvatore Filippone; Dan Nagle; Damian W. I. Rouson (PGAS, 2014)

Hybrid Coarrays: a PGAS Feature for Many-Core Architectures. - Valeria Cardellini; Alessandro Fanfarillo; Salvatore Filippone; Damian W. I. Rouson (PARCO, 2015)

Heterogeneous CAF-Based Load Balancing on Intel Xeon Phi. - Valeria Cardellini; Alessandro Fanfarillo; Salvatore Filippone (IPDPS Workshops, 2016)

CAF Events Implementation Using MPI-3 Capabilities. - Alessandro Fanfarillo; Jeff R. Hammond (EuroMPI, 2016)

Optimizing Communication and Synchronization in CAF Applications. - Alessandro Fanfarillo; Davide Del Vento; Patrick Nichols (PARCO, 2017)

Notified access in coarray fortran. - Alessandro Fanfarillo; Davide Del Vento (EuroMPI/USA, 2017)

Performance portability of an intermediate-complexity atmospheric research model in coarray Fortran. - Damian W. I. Rouson; Ethan D. Gutmann; Alessandro Fanfarillo; Brian Friesen (PAW@SC, 2017)

Incremental caffeination of a terrestrial hydrological modeling framework using Fortran 2018 teams. - Damian W. I. Rouson; James L. McCreight; Alessandro Fanfarillo (PAW@SC, 2017)

Coarray-based load balancing on heterogeneous and many-core architectures. - Valeria Cardellini; Alessandro Fanfarillo; Salvatore Filippone (Parallel Comput., 2017)

Sparse Matrix-Vector Multiplication on GPGPUs. - Salvatore Filippone; Valeria Cardellini; Davide Barbieri; Alessandro Fanfarillo (ACM Trans. Math. Softw., 2017)

Notified access in coarray-based hydrodynamics applications on many-core architectures: Design and performance. - Alessandro Fanfarillo; Davide Del Vento (Parallel Comput., 2018)

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 (HiPC, 2019)

AITuning: Machine Learning-Based Tuning Tool for Run-Time Communication Libraries. - Alessandro Fanfarillo; Davide Del Vento (PARCO, 2019)

Persistent coarrays: integrating MPI storage windows in coarray fortran. - Sergio Rivas-Gomez; Alessandro Fanfarillo; Sai Narasimhamurthy; Stefano Markidis (EuroMPI, 2019)

Quantifying Uncertainty in Source Term Estimation with Tensorflow Probability. - Alessandro Fanfarillo (UrgentHPC@SC, 2019)

Traps, Pitfalls and Misconceptions of Machine Learning applied to Scientific Disciplines. - Davide Del Vento; Alessandro Fanfarillo (PEARC, 2019)

Resilient computational applications using Coarray Fortran. - Alessandro Fanfarillo; Sudip Kumar Garain; Dinshaw S. Balsara; Dan Nagle (Parallel Comput., 2019)

Probabilistic forecasting using deep generative models. - Alessandro Fanfarillo; Behrooz Roozitalab; Weiming Hu; Guido Cervone (GeoInformatica, 2021)

Efficient Probabilistic Tuning of Ensemble Forecasting Method. - Alessandro Fanfarillo; Nicholas Malaya; Guido Cervone; Luca Delle Monache (SC Workshops, 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; et al. (SC, 2023)

Experiences Readying Applications for Exascale. - Paul T. Bauman; Reuben D. Budiardja; Dmytro Bykov; Noel Chalmers; Jacqueline Chen; Nicholas Curtis; Marc Day; Markus Eisenbach 002; Lucas Esclapez; Alessandro Fanfarillo; William Freitag; Nicholas Frontiere; et al. (CoRR, 2023)