Parallel CPU- and GPU-Algorithms for Inverse Problems in Nondestructive Testing
- Authors: Bazulin E.G.1,2, Goncharsky A.V.3, Romanov S.Y.3, Seryozhnikov S.Y.3
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Affiliations:
- Moscow State University
- ECHO+ Ltd, Technopark Strogino
- LomonosovMoscow State University
- Issue: Vol 39, No 4 (2018)
- Pages: 486-493
- Section: Article
- URL: https://journals.rcsi.science/1995-0802/article/view/201981
- DOI: https://doi.org/10.1134/S1995080218040030
- ID: 201981
Cite item
Abstract
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.
Keywords
About the authors
E. G. Bazulin
Moscow State University; ECHO+ Ltd, Technopark Strogino
Author for correspondence.
Email: bazulin@echoplus.ru
Russian Federation, Moscow, 119991; Moscow, 123458
A. V. Goncharsky
LomonosovMoscow State University
Email: bazulin@echoplus.ru
Russian Federation, Vorobyevy Gory 1, Moscow, 119991
S. Y. Romanov
LomonosovMoscow State University
Email: bazulin@echoplus.ru
Russian Federation, Vorobyevy Gory 1, Moscow, 119991
S. Y. Seryozhnikov
LomonosovMoscow State University
Email: bazulin@echoplus.ru
Russian Federation, Vorobyevy Gory 1, Moscow, 119991