Efficient Lava Flows Simulations with OpenCL: A Preliminary Application for Civil Defence Purposes. - Maurizio Macri; Alessio De Rango; Davide Spataro; Donato D'Ambrosio; William Spataro (3PGCIC, 2015)

Applications of the OpenCAL scientific library in the context of CFD: Applications to debris flows. - Donato D'Ambrosio; Alessio De Rango; Davide Spataro; Rocco Rongo; William Spataro (ICNSC, 2017)

Parallel Execution of Cellular Automata through Space Partitioning: The Landslide Simulation Sciddicas3-Hex Case Study. - Andrea Giordano; Alessio De Rango; Davide Spataro; Donato D'Ambrosio; Carlo Mastroianni; Gianluigi Folino; William Spataro (PDP, 2017)

A Tracking Algorithm for Particle-Like Moving Objects. - Davide Spataro; Paola Arcuri; Alessio De Rango; William Spataro; Donato D'Ambrosio; Alice Mari (PDP, 2017)

Structured Grid-Based Parallel Simulation of a Simple DEM Model on Heterogeneous Systems. - Alessio De Rango; Pietro Napoli; Donato D'Ambrosio; William Spataro; Alberto Di Renzo; Francesco Di Maio (PDP, 2018)

The Open Computing Abstraction Layer for Parallel Complex Systems Modeling on Many-Core Systems. - Donato D'Ambrosio; Alessio De Rango; Marco Oliverio; Davide Spataro; William Spataro; Rocco Rongo; Giuseppe Mendicino; Alfonso Senatore (J. Parallel Distributed Comput., 2018)

A General Computational Formalism for Networks of Structured Grids. - Donato D'Ambrosio; Paola Arcuri; Mario D'Onghia; Marco Oliverio; Rocco Rongo; William Spataro; Andrea Giordano; Davide Spataro; Alessio De Rango; Giuseppe Mendicino; Salvatore Straface; Alfonso Senatore (NUMTA(1), 2019)

A Dynamic Load Balancing Technique for Parallel Execution of Structured Grid Models. - Andrea Giordano; Alessio De Rango; Rocco Rongo; Donato D'Ambrosio; William Spataro (NUMTA(1), 2019)

Preliminary Model of Saturated Flow Using Cellular Automata. - Alessio De Rango; Luca Furnari; Andrea Giordano; Alfonso Senatore; Donato D'Ambrosio; Salvatore Straface; Giuseppe Mendicino (NUMTA(1), 2019)

Strategies for Parallel Execution of Cellular Automata in Distributed Memory Architectures. - Andrea Giordano; Alessio De Rango; Donato D'Ambrosio; Rocco Rongo; William Spataro (PDP, 2019)

Exploiting Distributed Discrete-Event Simulation Techniques for Parallel Execution of Cellular Automata. - Andrea Giordano; Donato D'Ambrosio; Alessio De Rango; Alessio Portaro; William Spataro; Rocco Rongo (WIVACE, 2019)

A first multi-GPU/multi-node implementation of the open computing abstraction layer. - Alessio De Rango; Davide Spataro; William Spataro; Donato D'Ambrosio (J. Comput. Sci., 2019)

The Quantization Algorithm Impact in Hydrological Applications: Preliminary Results. - Alessio De Rango; Luca Furnari; Donato D'Ambrosio; Alfonso Senatore; Salvatore Straface; Giuseppe Mendicino (ICCS (7), 2020)

Optimizing Cellular Automata Execution by Distributed Discrete Event Simulation Techniques. - Andrea Giordano; Donato D'Ambrosio; Rocco Rongo; William Spataro; Alessio De Rango (PDP, 2020)

Massive simulations on GPGPUs of subsurface flow on heterogeneous soils. - Alessio De Rango; Luca Furnari; Alfonso Senatore; Donato D'Ambrosio; Salvatore Straface; Giuseppe Mendicino (PDP, 2021)

Effectiveness of Dynamic Load Balancing in Parallel Execution of a Subsurface Flow Cellular Automata Model. - Andrea Giordano; Donato D'Ambrosio; Alessio De Rango; Luca Furnari; Rocco Rongo; Alfonso Senatore; Giuseppe Mendicino; William Spataro (WIVACE, 2021)

OpenCAL system extension and application to the three-dimensional Richards equation for unsaturated flow. - Alessio De Rango; Luca Furnari; Andrea Giordano; Alfonso Senatore; Donato D'Ambrosio; William Spataro; Salvatore Straface; Giuseppe Mendicino (Comput. Math. Appl., 2021)

Dynamic Load Balancing in Parallel Execution of Cellular Automata. - Andrea Giordano; Alessio De Rango; Rocco Rongo; Donato D'Ambrosio; William Spataro (IEEE Trans. Parallel Distributed Syst., 2021)

Towards efficient GPGPU Cellular Automata model implementation using persistent active cells. - Pawel Renc; Tomasz Pecak; Alessio De Rango; William Spataro; Giuseppe Mendicino; Jaroslaw Was (J. Comput. Sci., 2022)

A Performance Analysis of Leading Many-Core Technologies for Cellular Automata Execution. - Alessio De Rango; Donato D'Ambrosio; Alfonso Senatore; Giuseppe Mendicino; Kumudha Narasimhan; Mehdi Goli 001; Rod Burns (Euro-Par Workshops (1), 2023)

Application of Deep Learning for Wildfire Risk Management: Preliminary Results. - Alessio De Rango; Donato D'Ambrosio; Giuseppe Mendicino (NUMTA (2), 2023)

Applying Machine Learning to Improve Weather Forecasting in a Mediterranean Area: Preliminary Experiments. - Umair Yousaf; Alessio De Rango; Luca Furnari; Donato D'Ambrosio; Alfonso Senatore (NUMTA (2), 2023)

Performance Analysis and Optimization of the CUDA Implementation of the Three-Dimensional Subsurface XCA-Flow Cellular Automaton. - Alessio De Rango; Luca Furnari; Alfonso Senatore; Giuseppe Mendicino; Andrea Giordano; Davide Macrì; Gladys Utrera; Donato D'Ambrosio (PDP, 2023)

Tailoring load balancing of cellular automata parallel execution to the case of a two-dimensional partitioned domain. - Alessio De Rango; Andrea Giordano; Giuseppe Mendicino; Rocco Rongo; William Spataro (J. Supercomput., 2023)

Cellular Automata on a Multi-GPU Architecture: A Technical Overview. - Andrea Giordano; Alessio De Rango; Donato D'Ambrosio; Marisa Gil; Davide Macrì; Xavier Martorell; Rocco Rongo; Gladys Utrera; Giuseppe Mendicino; William Spataro (PDP, 2024)

Partitioned Reduction for Heterogeneous Environments. - Alessio De Rango; Gladys Utrera; Marisa Gil; Xavier Martorell; Andrea Giordano; Donato D'Ambrosio; Giuseppe Mendicino (PDP, 2024)

Parallel Execution Strategies for Cellular Automata on Shared Memory Architectures. - Andrea Giordano; Alessio De Rango; Giuseppe Mendicino; Donato D'Ambrosio; Davide Macrì; Luigi Rizzo; Rocco Rongo; William Spataro (PDP, 2025)

Spatio-temporal graph neural networks to improve precipitation forecasts from numerical models. - Umair Yousaf; Alessio De Rango; Luca Furnari; Donato D'Ambrosio; Alfonso Senatore; Giuseppe Mendicino (Soft Comput., 2025)

Advancing Wildfire Risk Prediction via Morphology-Aware Curriculum Contrastive Learning. - Fabrizio Lo Scudo; Alessio De Rango; Luca Furnari; Alfonso Senatore; Donato D'Ambrosio; Giuseppe Mendicino; Gianluigi Greco (CoRR, 2025)