Students' Projects

Student’s final projects represent the ultimate delivery of the master program. They are also the brightest representation of the program itself. They combine advanced computing technologies with scientific and industrial frontier applications. The applications range from: partial differential equations, mechanical and fluidynamical modelling, satellite data processing, neuroscience modelling, molecular dynamics. A detailed list of the projects follows.

Below the list of our projects.

High Performance Programming Paradigms Applied to Computational Fluid Dynamic Simulations

Students: 

Mauro Bardelloni

Most of the time spent to solve a numerical problem is taken by a linear system. There are cases in which the solution is straightforward: lower triangular, upper triangular or diagonal matrices. However, in every day life, solutions of linear systems are far for being trivial: usually partial differential equation (PDE) problems lead to complicated linear systems and it could be even worse when you have to deal with a system of PDEs.

A computational ecosystem for near real-time satellite data processing

Students: 

Stefano Piani

The aim of this work is the development of a computational ecosystem for nearly real-time inversion of high spectral resolution infrared data coming from meteorological satellites. The ecosystem has been developed as nearly real-time demonstration project to elaborate the level 2 products derived from MTG-IRS

Improving Performance of Basis-set-free Hartree-Fock Calculations Through Grid-based Massively Parallel Techniques

Students: 

Edwin Fernando Posada Correa

Multicenter numerical integration scheme for polyatomic molecules has been implemented as an initial step to develop a complete basis-set-free Hartree-Fock (HF) software. The validation of the integration scheme includes the integration of the total density and the calculation of Coulomb potentials for several diatomic molecules. A finite difference method is used to solve Poisson's equation for the Coulomb potential on numerical orbitals expanded on the interlocking multicenter quadrature grid. The implementation which rely on OpenMP and CUDA shows a speedup up to 30x.

Hybrid Parallelisation Strategies for Boundary Element Methods

Students: 

Nicola Giuliani

Whenever a mathematical problem admits a boundary integral representation, it can be straightforwardly discretised by Boundary Element Methods (BEM). In this work, we present an efficient hybrid parallel solver for FSI problems based on collocation BEM.

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