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.


Below the list of MHPC projects.

Deep Learning for Nanoscience Scanning Electron Microscope Image Recognition


Cristiano De Nobili

Objectives: study, optimize and benchmark several deep learning architectures and techniques for image classification. Run and speedup them on different HPC tools and GPUs. Test different deep learning frameworks.

Download link: Deep Learning for Nanoscience Scanning Electron Microscope Image Recognition


High Performance Programming Paradigms Applied to Computational Fluid Dynamic Simulations


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.