Alessandro Gabbana

According to our database, Alessandro Gabbana authored at least 15 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2024

Enhancing lattice kinetic schemes for fluid dynamics with Lattice-Equivariant Neural Networks.

Giulio Ortali, Alessandro Gabbana, Imre Atmodimedjo, Alessandro Corbetta

CoRR, 2024

Characteristic boundary condition for thermal lattice Boltzmann methods.

Friedemann Klass, Alessandro Gabbana, Andreas Bartel

Comput. Math. Appl., 2024

2022

Fast kinetic simulator for relativistic matter.

Victor E. Ambrus, Lorenzo Bazzanini, Alessandro Gabbana, Daniele Simeoni, Sauro Succi, Raffaele Tripiccione

Nat. Comput. Sci., 2022

2021

A non-equilibrium bounce-back boundary condition for thermal multispeed LBM.

Friedemann Klass, Alessandro Gabbana, Andreas Bartel

J. Comput. Sci., 2021

A Lattice Boltzmann Method for relativistic rarefied flows in (2+1) dimensions.

Lorenzo Bazzanini, Alessandro Gabbana, Daniele Simeoni, Sauro Succi, Raffaele Tripiccione

J. Comput. Sci., 2021

2020

ThunderX2 Performance and Energy-Efficiency for HPC Workloads.

Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, Raffaele Tripiccione

Comput., 2020

2019

Optimization of lattice Boltzmann simulations on heterogeneous computers.

Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, Raffaele Tripiccione

Int. J. High Perform. Comput. Appl., 2019

Energy-Efficiency Tuning of a Lattice Boltzmann Simulation Using MERIC.

Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, Raffaele Tripiccione

Proceedings of the Parallel Processing and Applied Mathematics, 2019

Early Performance Assessment of the ThunderX2 Processor for Lattice Based Simulations.

Enrico Calore, Alessandro Gabbana, Fabio Rinaldi, Sebastiano Fabio Schifano, Raffaele Tripiccione

Proceedings of the Parallel Processing and Applied Mathematics, 2019

2017

Evaluation of DVFS techniques on modern HPC processors and accelerators for energy-aware applications.

Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, Raffaele Tripiccione

Concurr. Comput. Pract. Exp., 2017

Early Experience on Using Knights Landing Processors for Lattice Boltzmann Applications.

Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, Raffaele Tripiccione

Proceedings of the Parallel Processing and Applied Mathematics, 2017

Energy-Efficiency Evaluation of Intel KNL for HPC Workloads.

Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano, Raffaele Tripiccione

Proceedings of the Parallel Computing is Everywhere, 2017

2016

Massively parallel lattice-Boltzmann codes on large GPU clusters.

Enrico Calore, Alessandro Gabbana, Jiri Kraus, E. Pellegrini, Sebastiano Fabio Schifano, Raffaele Tripiccione

Parallel Comput., 2016

Performance and portability of accelerated lattice Boltzmann applications with OpenACC.

Enrico Calore, Alessandro Gabbana, Jiri Kraus, Sebastiano Fabio Schifano, Raffaele Tripiccione

Concurr. Comput. Pract. Exp., 2016

2013

Benchmarking MIC architectures with Monte Carlo simulations of spin glass systems.

Alessandro Gabbana, Marcello Pivanti, Sebastiano Fabio Schifano, Raffaele Tripiccione

Proceedings of the 20th Annual International Conference on High Performance Computing, 2013