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.

Performance-driven refactoring of Potts associative memory network model.

Students: 

Leonardo Romor

Neural networks simulations have always been a complex computational chal- lenge because of the requirements of large amount of computational and memory resources. Due to the nature of the problem, a high performance computing approach becomes vital, because the dynamics often involves the update of a large network for a large number of time steps. Moreover, the parameter space can be fairly large. An advanced optimization for the single time step is therefore necessary, as well as a strategy to explore the parameter space in an automatic fashion.

Deep neural networks: Modelling biological vision

Students: 

Alessio Ansuini

Discussed and approved in December 2016.

Thesis not made available by the student.

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