Alessandro Gabbana

Orcid: 0000-0002-8367-6596

According to our database1, Alessandro Gabbana authored at least 15 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
Enhancing lattice kinetic schemes for fluid dynamics with Lattice-Equivariant Neural Networks.
CoRR, 2024

Characteristic boundary condition for thermal lattice Boltzmann methods.
Comput. Math. Appl., 2024

2022
Fast kinetic simulator for relativistic matter.
Nat. Comput. Sci., 2022

2021
A non-equilibrium bounce-back boundary condition for thermal multispeed LBM.
J. Comput. Sci., 2021

A Lattice Boltzmann Method for relativistic rarefied flows in (2+1) dimensions.
J. Comput. Sci., 2021

2020
ThunderX2 Performance and Energy-Efficiency for HPC Workloads.
Comput., 2020

2019
Optimization of lattice Boltzmann simulations on heterogeneous computers.
Int. J. High Perform. Comput. Appl., 2019

Energy-Efficiency Tuning of a Lattice Boltzmann Simulation Using MERIC.
Proceedings of the Parallel Processing and Applied Mathematics, 2019

Early Performance Assessment of the ThunderX2 Processor for Lattice Based Simulations.
Proceedings of the Parallel Processing and Applied Mathematics, 2019

2017
Evaluation of DVFS techniques on modern HPC processors and accelerators for energy-aware applications.
Concurr. Comput. Pract. Exp., 2017

Early Experience on Using Knights Landing Processors for Lattice Boltzmann Applications.
Proceedings of the Parallel Processing and Applied Mathematics, 2017

Energy-Efficiency Evaluation of Intel KNL for HPC Workloads.
Proceedings of the Parallel Computing is Everywhere, 2017

2016
Massively parallel lattice-Boltzmann codes on large GPU clusters.
Parallel Comput., 2016

Performance and portability of accelerated lattice Boltzmann applications with OpenACC.
Concurr. Comput. Pract. Exp., 2016

2013
Benchmarking MIC architectures with Monte Carlo simulations of spin glass systems.
Proceedings of the 20th Annual International Conference on High Performance Computing, 2013


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