A.F. Ulasen1, P.A. Panasenko2, V.P. Kiselyevich3, O.V. Platonova4, A.A. Ryzhova5

1,2Vasilevsky Military Academy of Air Defense Forces RF (Smolensk, Russia)

3JSC Concern Morinsis-Agat (Moscow, Russia)

4,5RTU MIREA (Moscow, Russia)

1Ulas.s@mail.ru, 2We_panasenko_777@mail.ru

The problem discussed in the article is the need to determine the possibility of using and providing an effective solution to current computing problems on a high-performance computing system with parallel information processing. The purpose of the work is to substantiate the effectiveness of parallel computing in high-performance real-time computing systems with increasing complexity of the technical problems being solved and the proposed approach for assessing their performance when executing many algorithms. The work analyzes the effectiveness of using parallelism, which usually consists of assessing the resulting acceleration of the computation process – reducing the time required to solve a problem. The result of the work is an assessment of the resulting acceleration with increasing complexity of the technical problems being solved, which determines how effectively parallel computing can be organized on a high-performance computing system when determining the maximum possible acceleration of the problem solving process.

Ulasen A.F., Panasenko P.A., Kiselyevich V.P., Platonova O.V., Ryzhova A.A. Speeding up the calculation process when using parallel information processing. Information-measuring and Control Systems. 2024. V. 22. № 2. P. 67−72. DOI: https://doi.org/10.18127 /j20700814-202402-07 (in Russian)

1. Badenko V.L. Vysokoproizvoditelnye vychisleniya. SPb.: Izd-vo Politekhnicheskogo universiteta. 2010. 180 s. (in Russian)
2. Volosenkov V.O. Razvitie sposobov otladki programmnogo obespecheniya vychislitelnykh sistem vooruzheniya, voennoi i spetsialnoi tekhniki. Vestnik Akademii voennykh nauk. 2006. № 4. S. 77−80. (in Russian)
3. Glukhikh M.I., Itsykson V.M. Programmnaya inzheneriya. Obespechenie kachestva programmnykh sredstv metodami staticheskogo analiza: Ucheb. posobie. SPb: Izd-vo Politekhnicheskogo universiteta. 2011. 150 s. (in Russian)
4. Konstantinovskii V.M., Lopashinov P.M., Shalin S.A. Sredstva razrabotki i otladki programmnogo obespecheniya dlya sistem, rabotayushchikh v rezhime realnogo vremeni. VSRE. Seriya RLT. 2000. Vyp. 1. S. 7−21. (in Russian)
5. Gergel V.P., Strongin R.G. Osnovy parallelnykh vychislenii dlya mnogoprotsessornykh vychislitelnykh sistem. N. Novgorod: NNGU. 2003. 302 s. (in Russian)
6. Ulasen A.F. Otsenka nadezhnosti informatsionnykh sistem spetsialnogo naznacheniya. Naukoemkie tekhnologii. 2015. T. 16. № 1. S. 32−35. (in Russian)