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Fast and Efficient Algorithms for Computational Electromagnetics on GPU Architecture

Academic Article
Publication Date:
2017
abstract:
Magnetic diagnostics are essential for the operation and understanding of a magnetic confinement fusion (MCF) device, for example, by providing in real-time, the axisymmetric measurements needed for plasma equilibrium reconstructions or magnetohydrodynamic instabilities control. In this paper, we present a fast and robust implementation on GPU architecture of an accurate algorithm suitable for the computation of synthetic magnetic measurements used both in real time applications and off-line reconstruction procedures. The proposed procedure is first applied to benchmark problems, to validate the compute unified device architecture implementation, and then to cases of practical interests in MCF.
Iris type:
01.01 Articolo in rivista
Keywords:
Computational electromagnetics; GPU; magnetic confinement fusion (MCF); synthetic magnetic measurements
List of contributors:
Manduchi, Gabriele
Authors of the University:
MANDUCHI GABRIELE
Handle:
https://iris.cnr.it/handle/20.500.14243/335804
Published in:
IEEE TRANSACTIONS ON NUCLEAR SCIENCE
Journal
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URL

http://ieeexplore.ieee.org/document/7944666/
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