Please use this identifier to cite or link to this item: http://ena.lp.edu.ua:8080/handle/ntb/51730
Title: Software complex for realization of mathematical models, methods and algorithms of estimation of time of execution of complex problems in multiprocessor computer systems
Authors: Klushyn, Yuriy
Affiliation: Lviv Polytechnic National University
Bibliographic description (Ukraine): Klushyn Y. Software complex for realization of mathematical models, methods and algorithms of estimation of time of execution of complex problems in multiprocessor computer systems / Yuriy Klushyn // Litteris et Artibus : proceedings, 23–25 November 2018, Lviv. — Lviv : Lviv Politechnic Publishing House, 2018. — P. 19–22. — (10th International academic conference “Computer science & engineering 2018”).
Bibliographic description (International): Klushyn Y. Software complex for realization of mathematical models, methods and algorithms of estimation of time of execution of complex problems in multiprocessor computer systems / Yuriy Klushyn // Litteris et Artibus : proceedings, 23–25 November 2018, Lviv. — Lviv : Lviv Politechnic Publishing House, 2018. — P. 19–22. — (10th International academic conference “Computer science & engineering 2018”).
Is part of: Litteris et Artibus : proceedings, 2018
Conference/Event: 8th International youth science forum «Litteris et Artibus»
Journal/Collection: Litteris et Artibus : proceedings
Issue Date: 22-Nov-2018
Publisher: Видавництво Львівської політехніки
Lviv Politechnic Publishing House
Place of the edition/event: Львів
Lviv
Temporal Coverage: 23–25 November 2018, Lviv
Keywords: parallel computing systems
complex of interconnected works
direct stochastic modeling
Markov process
function of distribution of random variable
Number of pages: 4
Page range: 19-22
Start page: 19
End page: 22
Abstract: To solve the problem of forecasting, a complete software package was developed based on mathematical models, methods and algorithms of direct stochastic modeling and multilevel stochastic modeling, which are used to estimate the execution time of complex software systems in multiprocessor computer systems.
URI: http://ena.lp.edu.ua:8080/handle/ntb/51730
ISBN: 978-966-941-294-2
Copyright owner: © Національний університет “Львівська політехніка”, 2018
References (Ukraine): [1] W.W. Chu, K.K. Leung, “Module replication and assignment for real-time distributedprocessing system”. // "Proc IEEE". 1987. 75. N5. pp. 547-562.
[2] A.S. Khritankov, “Mathematical model of performance characteristics of distributed computing systems”. Computer science, management, economics. WORKS OF MIPT. - 2010. - Volume 2, No. 1 (5), p. 110-115.
[3] A.N. Ivutin ., E.V. Larkin, “Prediction of the execution time of the algorithm”. Magazine. News of TSU. Technical science. Issue number 3/2013 C 301-315.
[4] P.L. Bocharov, V.V. Ignatushchenko, “Mathematical models and methods for evaluating the effectiveness of parallel computing systems on complexes of interrelated works” // Tez. report international conf, “High-Performance Computing Systems in Management and Scientific Research,” Alma-Ata, 1991, p. 6.
[5] Y.S. Klushin, “ Improving the accuracy of estimating the execution time of folding software systems in multiprocessor computer systems for belt stochastic modeling”. Bulletin of NU "Lviv Polytechnic" №881. Computer systems and networks. - Lviv: NU “LP”, 2017.
[6] Y.V. Preidunov, “Development of mathematical models and methods for predicting the implementation of complex software systems on parallel computing systems”. Cand. course work. M .: Inst. Of Problems of Management RAS, 1992.
[7] Y.S Klushin, “Reducing the number of states of the Markov process when executing complex software systems on parallel computers”. Scientific Bulletin of Chernivtsi University. Computer systems and components. 2016. T. 7. Vol. 2, pp. 53-62.
References (International): [1] W.W. Chu, K.K. Leung, "Module replication and assignment for real-time distributedprocessing system"., "Proc IEEE". 1987. 75. N5. pp. 547-562.
[2] A.S. Khritankov, "Mathematical model of performance characteristics of distributed computing systems". Computer science, management, economics. WORKS OF MIPT, 2010, Volume 2, No. 1 (5), p. 110-115.
[3] A.N. Ivutin ., E.V. Larkin, "Prediction of the execution time of the algorithm". Magazine. News of TSU. Technical science. Issue number 3/2013 P. 301-315.
[4] P.L. Bocharov, V.V. Ignatushchenko, "Mathematical models and methods for evaluating the effectiveness of parallel computing systems on complexes of interrelated works", Tez. report international conf, "High-Performance Computing Systems in Management and Scientific Research," Alma-Ata, 1991, p. 6.
[5] Y.S. Klushin, " Improving the accuracy of estimating the execution time of folding software systems in multiprocessor computer systems for belt stochastic modeling". Bulletin of NU "Lviv Polytechnic" No 881. Computer systems and networks, Lviv: NU "LP", 2017.
[6] Y.V. Preidunov, "Development of mathematical models and methods for predicting the implementation of complex software systems on parallel computing systems". Cand. course work. M ., Inst. Of Problems of Management RAS, 1992.
[7] Y.S Klushin, "Reducing the number of states of the Markov process when executing complex software systems on parallel computers". Scientific Bulletin of Chernivtsi University. Computer systems and components. 2016. T. 7. Vol. 2, pp. 53-62.
Content type: Conference Abstract
Appears in Collections:Litteris et Artibus. – 2018 р.



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