doi:
UDK: 004.272.3

PERFORMANCE ANALYSIS OF THE AUV ONBOARD PARALLEL COMPUTING ENVIRONMENT

Мотыленок М. А., Сиек Ю. Л.
Article language: русский

Annotation

The onboard computing environment (OCE) of autonomous unmanned underwater vehicles is considered. There is a tendency for its further development due to the constant complication of the algorithms and software used onboard. This imposes appropriate requirements for the performance of the OCE. To improve OCE performance, it is rational to use parallel-distributed architectures of computing. The main options of organizing a parallel onboard computing environment based on these architectures, including the multiprocessor modular structure, are considered. Experimental data, obtained as a result of simulation onboard computing environments of various structures, using OpenMPI technology, are presented. The results obtained demonstrated the appropriateness of using modular OCE with a hybrid architecture. Keywords: autonomous underwater vehicle, onboard computing environment, algorithm, parallel computing, parallel computing architecture, multiprocessor system, shared memory, distributed memory, hybrid architecture, OpenMPI

Bibliography

1. Bortovye tsifrovye vychislitelnye sistemy semeystva «Malakhit» dlya raboty v ekstremalnykh usloviyakh [Onboard digital computing systems of the «Malakhit» family for operation in extreme conditions], V. M. Antimirov, A. B. Umanskiy, L. N. Shalimov. Vestnik Samarskogo gosudarstvennogo aerokosmicheskogo universiteta 2013, № 4 (42), S. 19-27
2. Metod vysokoskorostnoy peredachi videoizobrazheniya po gidroakusticheskomu kanalu s ispolzovaniem amplitudnoy modulyatsii i ortogonalnykh podnesushchikh [Method of high-speed video image transmission over a hydroacoustic channel using amplitude modulation and orthogonal subcarriers], A.V. Dikarev, S.M. Dmitriev, V.A. Kubkin, P.V. Kulikov, S.L. Litvinenko. Inzhenernyy vestnik Dona, 2013, №1
3. V. M. Antimirov. Proektirovanie apparatury sistem avtomaticheskogo upravleniya dlya raboty v ekstrem-alnykh usloviyakh. Chast 2. [Design of equipment for automatic control systems for operation in extreme condi-tions. Part 2.], V. M. Antimirov. – Ekaterinburg: Izd. Uralskogo universiteta, 2015, 70 c.
4. Akhmetov M. I, V. N. Efanov. Printsipy razrabotki vysokoproizvoditelnykh bortovykh vychislitelnykh sistem realnogo vremeni [Principles of development of high-performance onboard real-time computing systems], M. I. Akhmetov, V. N. Efanov. Vestnik UGATU, 2006, T.7, №1 (14), S. 93-102
5. Borisov A.N., Siek Yu.L. Vizualizatsiya podvodnoy stseny v parallelnoy vychislitelnoy sisteme [Underwater scene visualization in a parallel computing system], Morskie intellektualnye tekhnologii. 2018. № 2. T.1. S.119-127
6. Sushko G.B. Eksperimentalnoe issledovanie na SKIF MGU «Chebyshev» kombinirovannoy MPI+threads-realizatsii algoritma resheniya sistem lineynykh uravneniy, voznikayushchikh vo FlowVision pri modelirovanii zadach vychislitelnoy gidrodinamiki [An experimental study at SKIF MSU “Chebyshev" of a combined MPI + threads implementation of an algorithm for linear equations solving systems arising in FlowVision when modeling problems of computational fluid dynamics], G.B. Sushko, S.A. Kharchenko. Nizhniy Novgorod: Vestnik Nizhego-rodskogo universiteta im. N. I. Lobachevskogo, 2010, №1, S. 202-209
7. Andrist B., Sehr V., C++ High Performance. – 2-е изд, Birmingham, UK: Packt Publishing Ltd. – 513
8. Gabriel E. Open MPI: Goals, Concept, and Design of a Next Generation MPI Implementation / E. Gabriel, G. E. Fagg, G. Bosilca, T. Angskun, J. J. Dongarra, J. M. Squyres, V. Sahay, P. Kambadur, B. Barrett, A. Lumsdaine, R. H. Castain, D. J. Daniel, R. L. Graham, T. S. Woodall. // In Proceedings, 11th European PVM/MPI Users Group Meet-ing, – 2004 – URL: https://www.open-mpi.org/papers/euro-pvmmpi-2004-overview/euro-pvmmpi-2004-overview.pdf (Дата обращения: 26.04.2020)