Luca Bonaventura

Associate professor

Phone:+39 02 2399 4600
Fax: +39 02 2399 4568
Office: Ed. 14 - Nave - VII floor
Email:
Personal web page:

Available MOX Reports
Theses
Thesis Proposals
MOX Projects

Bonaventura, L.; Della Rocca A.;
Convergence analysis of a cell centered finite volume diffusion operator on non-orthogonal polyhedral meshes

Bassi, C.; Abbà, A.; Bonaventura,l.; Valdettaro,l.
Direct and Large Eddy Simulation of three-dimensional non-Boussinesq gravity currents with a high order DG method

Benacchio, T.;bonaventura,l.
A seamless extension of DG methods for hyperbolic problems to unbounded domains

Bassi, C. ; Abbà, A.; Bonaventura L.; Valdettaro, L.
A priori tests of a novel LES approach to compressible variable density turbulence

Simona, A.; Bonaventura, L.; Pugnat, T.; Dalena, B.
High order time integrators for the simulation of charged particle motion in magnetic quadrupoles

Delpopolo Carciopolo L.; Bonaventura L.; Scotti A.; Formaggia L.
A conservative implicit multirate method for hyperbolic problems

Bonaventura, L.; Casella, F.; Delpopolo, L.; Ranade, A.;
A self adjusting multirate algorithm based on the TR-BDF2 method

Bonaventura, L.; Fernandez Nieto, E.; Garres Diaz, J.; Narbona Reina, G.;
Multilayer shallow water models with locally variable number of layers and semi-implicit time discretization

Bonaventura, L.; Ferretti, R.; Rocchi L.;
A fully semi-Lagrangian discretization for the 2D Navier--Stokes equations in the vorticity--streamfunction formulation

Bassi, C.; Abbà, A.; Bonaventura, L.; Valdettaro, L.
Large Eddy Simulation of gravity currents with a high order DG method

Tugnoli, M; Abbà, A. ; Bonaventura, L.; Restelli, M.
A locally p-adaptive approach for Large Eddy Simulation of compressible flows in a DG framework

Bonaventura, L.; Della Rocca, A.
Monotonicity, positivity and strong stability of the TR-BDF2 method and of its SSP extensions

Bonaventura, L:
Local Exponential Methods: a domain decomposition approach to exponential time integration of PDE.

Bonaventura, L.; Ferretti, R.
Flux form Semi-Lagrangian methods for parabolic problems

Abbà,a.;bonaventura,l.; Nini, M.;restelli,m.;
Anisotropic dynamic models for Large Eddy Simulation of compressible flows with a high order DG method

Bonaventura, L.; Ferretti, R.
Semi-Lagrangian methods for parabolic problems in divergence form

Tumolo, G.; Bonaventura, L.
An accurate and efficient numerical framework for adaptive numerical weather prediction

Ferran Garcia, Luca Bonaventura, Marta Net, Juan Sanchez
Exponential versus IMEX high-order time integrators for thermal convection in rotating spherical shells

Carcano, S.; Bonaventura, L.; Neri, A.; Esposti Ongaro, T.
A second order accurate numerical model for multiphase underexpanded volcanic jets

Tumolo, G.; Bonaventura, L.; Restelli, M.
A semi-implicit, semi-Lagrangian, p-adaptive Discontinuous Galerkin method for the shallow water equations

Benacchio, T.; Bonaventura, L.
A spectral collocation method for the one dimensional shallow water equations on semi-infinite domains

Garegnani, G.; Rosatti, G.; Bonaventura, L.
Mathematical and Numerical Modelling of Fully Coupled Mobile Bed Free Surface Flows

Abba', A.; Bonaventura, L.
A mimetic finite difference method for Large Eddy Simulation of incompressible flow

Bonaventura, Luca; Castruccio, Stefano; Sangalli, Laura M.
A Bayesian approach to geostatistical interpolation with exible variogram models

Bonaventura, Luca; Biotto, Cristian; Decoene, Astrid; Mari, Lorenzo; Miglio, Edie
A couple ecological-hydrodynamic model for the spatial distribution of sessile aquatic species in thermally forced basins

Bonaventura, Luca; Castruccio, Stefano; Crippa, Paola; Lonati, Giovanni
Geostatistical estimate of PM10 concentrations in Northern Italy: validation of kriging reconstructions with classical and flexible variogram models

Decoene, Astrid; Bonaventura, Luca; Miglio, Edie; Saleri, Fausto
Asymptotic Derivation of the Section-Averaged Shallow Water Equations for River Hydraulics.

Deponti, Alberto; Bonaventura, Luca; Rosatti; Giorgio, Garegnani, Giulia
An Accurate and Efficient Semi-Implicit Method for Section Averaged Free Surface Flow Modelling

Deponti, Alberto; Bonaventura, Luca; Fraccarollo, Luigi; Miglio, Edie; Rosatti, Giorgio
Analysis of Hyperbolic Systems for Mobile--Bed, Free--Surface Flow Modelling in Arbitrary Cross Sections

Abba', A.; Bonaventura, L.
A vorticity preserving finite difference discretization for the incompressible Navier-Stokes equations

Baudisch, J.; Bonaventura, Luca; Iske, A.; Miglio, Edie
Matrix valued Radial Basis Functions for local vector field reconstruction: applications to computational fluid dynamic models

Restelli, Marco; Bonaventura, Luca; Sacco, Riccardo
A flux form, semi - Lagrangian method for the scalar advection equation usign Discontinuous Galerkin reconstruction

Advisor:Benacchio, T.,Bonaventura, L.
Efficient and scalable solvers for numerical weather prediction

Advisor:Benacchio, T.,Bonaventura, L.
Simulation of wave propagation in unbounded domains

Escape-2 Energy-efficient Scalable Algorithms For Weather And Climate Prediction At Exascale,European Commission
ESCAPE-2 will develop world-class, extreme-scale computing capabilities for European operational numerical weather and climate prediction systems. It continues the pioneering work of the ESCAPE project. The project aims to attack all three sources of enhanced computational performance at once, namely (i) developing and testing bespoke numerical methods that optimally trade off accuracy, resilience and performance, (ii) developing generic programming approaches that ensure code portability and performance portability, (iii) testing performance on HPC platforms offering different processor technologies. ESCAPE-2 will prepare weather and climate domain benchmarks that will allow a much more realistic assessment of application specific performance on large HPC systems than current generic benchmarks such as HPL and HPCG. These benchmarks are specifically geared towards the pre-exascale and exascale HPC infrastructures that the European Commission and Member States will invest in through the European Commission Joint Undertaking. The role of MOX in ESCAPE-2 is the development of efficient semi-implicit solvers for Discontinuous Galerkin discretizations of the Euler equations. ESCAPE-2 is funded by the European Commission under the Future and Emerging Technologies - High-Performance Computing call for research and innovation actions, grant agreement 800897.

Data-centric Genomic Computing (gendata 2020),National Project Prin 2010-2011 (politecnico Coordinator: A.

Eni At Polimi - 1,Eni S.p.a