Parallel CPU- and GPU-Algorithms for Inverse Problems in Nondestructive Testing
- Авторлар: Bazulin E.1,2, Goncharsky A.3, Romanov S.3, Seryozhnikov S.3
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Мекемелер:
- Moscow State University
- ECHO+ Ltd, Technopark Strogino
- LomonosovMoscow State University
- Шығарылым: Том 39, № 4 (2018)
- Беттер: 486-493
- Бөлім: Article
- URL: https://journals.rcsi.science/1995-0802/article/view/201981
- DOI: https://doi.org/10.1134/S1995080218040030
- ID: 201981
Дәйексөз келтіру
Аннотация
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.
Негізгі сөздер
Авторлар туралы
E. Bazulin
Moscow State University; ECHO+ Ltd, Technopark Strogino
Хат алмасуға жауапты Автор.
Email: bazulin@echoplus.ru
Ресей, Moscow, 119991; Moscow, 123458
A. Goncharsky
LomonosovMoscow State University
Email: bazulin@echoplus.ru
Ресей, Vorobyevy Gory 1, Moscow, 119991
S. Romanov
LomonosovMoscow State University
Email: bazulin@echoplus.ru
Ресей, Vorobyevy Gory 1, Moscow, 119991
S. Seryozhnikov
LomonosovMoscow State University
Email: bazulin@echoplus.ru
Ресей, Vorobyevy Gory 1, Moscow, 119991