Parallel CPU- and GPU-Algorithms for Inverse Problems in Nondestructive Testing
- Autores: Bazulin E.1,2, Goncharsky A.3, Romanov S.3, Seryozhnikov S.3
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Afiliações:
- Moscow State University
- ECHO+ Ltd, Technopark Strogino
- LomonosovMoscow State University
- Edição: Volume 39, Nº 4 (2018)
- Páginas: 486-493
- Seção: Article
- URL: https://journals.rcsi.science/1995-0802/article/view/201981
- DOI: https://doi.org/10.1134/S1995080218040030
- ID: 201981
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Resumo
This paper is concerned with developing efficient methods for solving inverse problems of ultrasonic nondestructive imaging in the framework of a scalar wave model, which describes the propagation, diffraction and refraction of longitudinal ultrasonic waves. The problem of recovering the velocity of a longitudinal wave in a solid is formulated as a coefficient inverse problem, which in this formulation is nonlinear. The proposed scalable numerical algorithms can be efficiently parallelized both on CPU- and GPU-equipped supercomputers. The efficiency of the algorithms is illustrated by applying them to model problems. The computations were performed on the “Lomonosov” supercomputer at Lomonosov Moscow State University.
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Sobre autores
E. Bazulin
Moscow State University; ECHO+ Ltd, Technopark Strogino
Autor responsável pela correspondência
Email: bazulin@echoplus.ru
Rússia, Moscow, 119991; Moscow, 123458
A. Goncharsky
LomonosovMoscow State University
Email: bazulin@echoplus.ru
Rússia, Vorobyevy Gory 1, Moscow, 119991
S. Romanov
LomonosovMoscow State University
Email: bazulin@echoplus.ru
Rússia, Vorobyevy Gory 1, Moscow, 119991
S. Seryozhnikov
LomonosovMoscow State University
Email: bazulin@echoplus.ru
Rússia, Vorobyevy Gory 1, Moscow, 119991