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Implementation of a GPU accelerated total focusing reconstruction method within CIVA software

Abstract : This paper presents results of a TFM implementation for Full Matrix Capture acquisitions in CIVA, proposed as a post-processing tool for accurate analysis. This implementation has been made on GPU architecture with OpenCL to minimize the processing time and offer computational device flexibility (GPU/CPU). Examples on immersion configurations on isotropic 2D CAD specimen with planar extrusion are proposed to illustrate the performances. Reconstructions on 2D or 3D areas of direct echoes with mode conversion are allowed. Probe scanning can also be taken into account. Reconstruction results and a benchmark explaining the speedup are presented. Further improvements are also reviewed.
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https://hal.inria.fr/hal-01096871
Contributor : Jason Lambert <>
Submitted on : Thursday, December 18, 2014 - 1:25:22 PM
Last modification on : Thursday, July 8, 2021 - 3:52:30 AM
Long-term archiving on: : Monday, March 23, 2015 - 4:42:50 PM

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Gilles Rougeron, Jason Lambert, Ekaterina Iakovleva, Lionel Lacassagne, Nicolas Dominguez. Implementation of a GPU accelerated total focusing reconstruction method within CIVA software. 40th Annual Review of Progress in Quantitative Nondestructive Evaluation, Center for Nondestructive Evaluation; World Federation of NDE Centers, Jul 2013, Baltimore, Maryland, United States. pp.1983 - 1990, ⟨10.1063/1.4865067⟩. ⟨hal-01096871⟩

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