75 citations · 416 across the 21 of their papers we have counts for
21 papers
A kinetic-based regularization method for data science applications
Abhisek Ganguly, Alessandro Gabbana, Vybhav Rao +2
We propose a physics-based regularization technique for function learning, inspired by statistical mechanics. By drawing an analogy between optimizing the parameters of an interpol…
DBSCAN in domains with periodic boundary conditions
Xander M. de Wit, Alessandro Gabbana
Many scientific problems involve data that is embedded in a space with periodic boundary conditions. This can for instance be related to an inherent cyclic or rotational symmetry i…
Characteristic Boundary Condition for Thermal Lattice Boltzmann Methods
Friedemann Klass, Alessandro Gabbana, Andreas Bartel
We introduce a non-reflecting boundary condition for the simulation of thermal flows with the lattice Boltzmann Method (LBM). We base the derivation on the locally one-dimensional…
Bjorken flow revisited: analytic and numerical solutions in flat space-time coordinates
Daniele Simeoni, Alessandro Gabbana, Sauro Succi
In this work we provide analytic and numerical solutions for the Bjorken flow, a standard benchmark in relativistic hydrodynamics providing a simple model for the bulk evolution of…
Fast kinetic simulator for relativistic matter
Victor Ambrus, Lorenzo Bazzanini, Alessandro Gabbana +3
We present a new family of relativistic lattice kinetic schemes for the efficient simulation of relativistic flows in both strongly-interacting (fluid) and weakly-interacting (rare…
A Lattice Boltzmann Method for Relativistic Rarefied Flows in (2 + 1) Dimensions
Lorenzo Bazzanini, Alessandro Gabbana, Daniele Simeoni +2
We propose an extension to recently developed Relativistic Lattice Boltzmann solvers (RLBM), which allows the simulation of flows close to the free streaming limit. Following previ…
Beyond moments: relativistic Lattice-Boltzmann methods for radiative transport in computational astrophysics
L. R. Weih, A. Gabbana, D. Simeoni +3
We present a new method for the numerical solution of the radiative-transfer equation (RTE) in multidimensional scenarios commonly encountered in computational astrophysics. The me…
Dissipative hydrodynamics of relativistic shock waves in a Quark Gluon Plasma: comparing and benchmarking alternate numerical methods
A. Gabbana, S. Plumari, G. Galesi +4
This paper presents numerical cross-comparisons and benchmark results for two different kinetic numerical methods, capable of describing relativistic dissipative fluid dynamics in…
Probing bulk viscosity in relativistic flows
A. Gabbana, D. Simeoni, S. Succi +1
We derive an analytical connection between kinetic relaxation rate and bulk viscosity of a relativistic fluid in d spatial dimensions, all the way from the ultra-relativistic down…
Relativistic Lattice Boltzmann Methods: Theory and Applications
A. Gabbana, D. Simeoni, S. Succi +1
We present a systematic account of recent developments of the relativistic Lattice Boltzmann method (RLBM) for dissipative hydrodynamics. We describe in full detail a unified, comp…
Relativistic dissipation obeys Chapman-Enskog asymptotics: analytical and numerical evidence as a basis for accurate kinetic simulations
A. Gabbana, D. Simeoni, S. Succi +1
We present an analytical derivation of the transport coefficients of a relativistic gas in (2+1) dimensions for both Chapman-Enskog (CE) asymptotics and Grad's expansion methods. M…
Prospects for the detection of electronic pre-turbulence in graphene
A. Gabbana, M. Polini, S. Succi +2
Based on extensive numerical simulations, accounting for electrostatic interactions and dissipative electron-phonon scattering, we propose experimentally realizable geometries capa…
Numerical evidence of electron hydrodynamic whirlpools in graphene samples
A. Gabbana, M. Mendoza, S. Succi +1
We present an extension of recent relativistic Lattice Boltzmann methods based on Gaussian quadratures for the study of fluids in (2+1) dimensions. The new method is applied to the…
Early Experience on Using Knights Landing Processors for Lattice Boltzmann Applications
Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano +1
The Knights Landing (KNL) is the codename for the latest generation of Intel processors based on Intel Many Integrated Core (MIC) architecture. It relies on massive thread and data…
Energy-efficiency evaluation of Intel KNL for HPC workloads
E. Calore, A. Gabbana, S. F. Schifano +1
Energy consumption is increasingly becoming a limiting factor to the design of faster large-scale parallel systems, and development of energy-efficient and energy-aware application…
Kinetic approach to relativistic dissipation
A. Gabbana, M. Mendoza, S. Succi +1
Despite a long record of intense efforts, the basic mechanisms by which dissipation emerges from the microscopic dynamics of a relativistic fluid still elude a complete understandi…
Optimization of Lattice Boltzmann Simulations on Heterogeneous Computers
E. Calore, A. Gabbana, S. F. Schifano +1
High-performance computing systems are more and more often based on accelerators. Computing applications targeting those systems often follow a host-driven approach in which hosts…
Evaluation of DVFS techniques on modern HPC processors and accelerators for energy-aware applications
Enrico Calore, Alessandro Gabbana, Sebastiano Fabio Schifano +1
Energy efficiency is becoming increasingly important for computing systems, in particular for large scale HPC facilities. In this work we evaluate, from an user perspective, the us…
Towards a unified lattice kinetic scheme for relativistic hydrodynamics
A. Gabbana, M. Mendoza, S. Succi +1
We present a systematic derivation of relativistic lattice kinetic equations for finite-mass particles, reaching close to the zero-mass ultra-relativistic regime treated in the pre…
Performance and Portability of Accelerated Lattice Boltzmann Applications with OpenACC
E. Calore, A. Gabbana, J. Kraus +2
An increasingly large number of HPC systems rely on heterogeneous architectures combining traditional multi-core CPUs with power efficient accelerators. Designing efficient applica…
Massively parallel lattice-Boltzmann codes on large GPU clusters
E. Calore, A. Gabbana, J. Kraus +3
This paper describes a massively parallel code for a state-of-the art thermal lattice- Boltzmann method. Our code has been carefully optimized for performance on one GPU and to hav…