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Please use this identifier to cite or link to this item: https://oldena.lpnu.ua/handle/ntb/51730
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dc.contributor.authorKlushyn, Yuriy
dc.coverage.temporal23–25 November 2018, Lviv
dc.date.accessioned2020-06-09T07:06:54Z-
dc.date.available2020-06-09T07:06:54Z-
dc.date.created2018-11-22
dc.date.issued2018-11-22
dc.identifier.citationKlushyn 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”).
dc.identifier.isbn978-966-941-294-2
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/51730-
dc.description.abstractTo 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.
dc.format.extent19-22
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofLitteris et Artibus : proceedings, 2018
dc.subjectparallel computing systems
dc.subjectcomplex of interconnected works
dc.subjectdirect stochastic modeling
dc.subjectMarkov process
dc.subjectfunction of distribution of random variable
dc.titleSoftware complex for realization of mathematical models, methods and algorithms of estimation of time of execution of complex problems in multiprocessor computer systems
dc.typeConference Abstract
dc.rights.holder© Національний університет “Львівська політехніка”, 2018
dc.contributor.affiliationLviv Polytechnic National University
dc.format.pages4
dc.identifier.citationenKlushyn 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”).
dc.relation.references[1] W.W. Chu, K.K. Leung, “Module replication and assignment for real-time distributedprocessing system”. // "Proc IEEE". 1987. 75. N5. pp. 547-562.
dc.relation.references[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.
dc.relation.references[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.
dc.relation.references[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.
dc.relation.references[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.
dc.relation.references[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.
dc.relation.references[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.
dc.relation.referencesen[1] W.W. Chu, K.K. Leung, "Module replication and assignment for real-time distributedprocessing system"., "Proc IEEE". 1987. 75. N5. pp. 547-562.
dc.relation.referencesen[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.
dc.relation.referencesen[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.
dc.relation.referencesen[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.
dc.relation.referencesen[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.
dc.relation.referencesen[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.
dc.relation.referencesen[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.
dc.citation.conference8th International youth science forum «Litteris et Artibus»
dc.citation.journalTitleLitteris et Artibus : proceedings
dc.citation.spage19
dc.citation.epage22
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
Appears in Collections:Litteris et Artibus. – 2018 р.

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