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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Communication dans un congrès
AIP. 40th Annual Review of Progress in Quantitative Nondestructive Evaluation, Jul 2013, Baltimore, Maryland, United States. 1581 (1), pp.1983 - 1990, 2014, 〈http://www.qndeprograms.org/2013/Conference2013.html〉. 〈10.1063/1.4865067〉
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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. AIP. 40th Annual Review of Progress in Quantitative Nondestructive Evaluation, Jul 2013, Baltimore, Maryland, United States. 1581 (1), pp.1983 - 1990, 2014, 〈http://www.qndeprograms.org/2013/Conference2013.html〉. 〈10.1063/1.4865067〉. 〈hal-01096871〉

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