Thesis Code: 20016
Thesis Type: Master Thesis for Telecommunication/Electronic Engineering, Computer Science, Mathematics, Physics or equivalent
Research Area: Advanced Computing and Applications
- MS students in Computer Science
- Experience with main programming languages (Matlab /Fortran/C/C++)
- Knowledge of parallel computing (MPI)
Numerical simulations are routinely employed to model complex systems, as electromagnetic waves propagation. In a similar way, maps are used to describe physical locations . However, if one wants to study different responses varying the parameters of the systems, the computational burden becomes too large, and often just a reduced part of the system output is of interest. In the maps analogy, one is interested just in the public transportation network to plan different routes. From a computational point of view, simpler and compact models can be constructed from representative solutions of the complete system, using different techniques to combine them together [1,2].
This thesis aims at porting existing code for electromagnetic simulation on a distributed architecture, with the specific aim of using it for building reduced order models for Computational Electromagnetics.
- C. Antoulas Approximation of Large-Scale DynamicalSystems, 2005, SIAM
- Hochman, J.Fernandez Villena, A. G. Polimeridis, L. M. Silveira, J. K. White, L. Daniel, ‘Reduced-Order Models for Electromagnetic Scattering Problems’, Antennas and Propagation, IEEE Transactions on , vol.62, no.6, pp.3150, 3162, April 2014, doi: 10.1109/TAP.2014.2314734
- London images are from Wikipedia, GoogleMaps, and Transportation for London
Contact: send a resume with attached the list of exams to firstname.lastname@example.org specifying the thesis code and title.