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Multidimensional FFT on distributed-memory architectures for parallel computing

azienda Thesis in external company    


keywords COMPUTATIONAL ELECTROMAGNETICS, ALGORITHMS

Reference persons GIUSEPPE VECCHI, FRANCESCA VIPIANA

External reference persons M. A. Francavilla (Istituto Superiore Mario Boella)

Research Groups Applied Electromagnetics

Thesis type MASTER THESIS

Description When realistic complex geometries are considered, the numerical solution of Maxwell’s equations requires the development of ingenious fast and efficient algorithms. A possible approach is based on Fast Fourier Transform (FFT) for the computation of matrix vector products needed by an iterative solver(1). Porting this algorithm on distributed-memory architectures (cloud computing, grid computing) will dramatically expand the size of tractable geometries. This thesis aims at implementing a set of routines for the multidimensional FFT on distributed-memory architectures. The routines will be inserted in an existing numerical code and run on appropriate machines to face some of the most challenging problems in Computational Electromagnetics.

(1) F. Vipiana, M. A. Francavilla, G. Vecchi, ‘EFIE Modeling of High-Definition Multiscale Structures’, Antennas and Propagation, IEEE Transactions on , vol.58, no.7, pp.2362,2374, July 2010 doi: 10.1109/TAP.2010.2048855

See also  http://www.ismb.it/en/node/2292

Required skills - MS students in Computer Science
- Experience with main programming languages (Matlab /Fortran/C/C++)
- Knowledge of parallel computing (MPI)

Notes Expected duration: 6 months.
The thesis will be developed at Istituto Superiore Mario Boella, Antenna and EMC Lab.


Deadline 16/01/2020      PROPONI LA TUA CANDIDATURA




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