A hybrid finite element–boundary element method, developed to solve eddy-current problems in the frequency domain, is applied to the electromagnetic analysis of voxel-based human models. A specific procedure employs a massively parallelized algorithm implemented on a multiple Graphic Processing Units (GPU) code to speed up the solution of large systems whose matrix exceeds the RAM capability. The database structure used for the electromagnetic problem is also suitable for a successive thermal analysis to evaluate the distribution of the temperature elevation due to the energy deposited by the waves in the tissues. Finally, some examples of application are presented.

A hybrid finite element-boundary element method, developed to solve eddy-current problems in the frequency domain, is applied to the electromagnetic analysis of voxel-based human models. A specific procedure employs a massively parallelized algorithm implemented on a multiple Graphic Processing Units (GPU) code to speed up the solution of large systems whose matrix exceeds the RAM capability. The database structure used for the electromagnetic problem is also suitable for a successive thermal analysis to evaluate the distribution of the temperature elevation due to the energy deposited by the waves in the tissues. Finally, some examples of application are presented.

A GPU Computational Code for Eddy-Current Problems in Voxel-Based Anatomy / Bottauscio, O.; Chiampi, M.; Hand, J.; Zilberti, L.. - In: IEEE TRANSACTIONS ON MAGNETICS. - ISSN 0018-9464. - 51:3(2015), p. 5100904.5100904. [10.1109/TMAG.2014.2363140]

A GPU Computational Code for Eddy-Current Problems in Voxel-Based Anatomy

O. Bottauscio;L. Zilberti
2015

Abstract

A hybrid finite element-boundary element method, developed to solve eddy-current problems in the frequency domain, is applied to the electromagnetic analysis of voxel-based human models. A specific procedure employs a massively parallelized algorithm implemented on a multiple Graphic Processing Units (GPU) code to speed up the solution of large systems whose matrix exceeds the RAM capability. The database structure used for the electromagnetic problem is also suitable for a successive thermal analysis to evaluate the distribution of the temperature elevation due to the energy deposited by the waves in the tissues. Finally, some examples of application are presented.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11696/32626
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