Отрывок: However, in these works the problems were considered, in which the time of the trial execution didn’t depend on the trial point. Here, the problem is considered assuming that in the Науки о данных K.A. Barkalov, V.P. Gergel IV Международная конференция и молодёжная школа «Информационные те...
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Поле DC | Значение | Язык |
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dc.contributor.author | Barkalov, K.A. | - |
dc.contributor.author | Gergel, V.P. | - |
dc.date.accessioned | 2018-05-14 17:25:25 | - |
dc.date.available | 2018-05-14 17:25:25 | - |
dc.date.issued | 2018 | - |
dc.identifier | Dspace\SGAU\20180513\69137 | ru |
dc.identifier.citation | Barkalov K.A. High performance computing for global optimization problems/ Barkalov K.A., Gergel V.P. //Сборник трудов IV международной конференции и молодежной школы «Информационные технологии и нанотехнологии» (ИТНТ-2018) - Самара: Новая техника, 2018. - С. 2900-2905 | ru |
dc.identifier.uri | http://repo.ssau.ru/handle/Informacionnye-tehnologii-i-nanotehnologii/High-performance-computing-for-global-optimization-problems-69137 | - |
dc.description.abstract | In the present work, the multiextremal optimization problems and a high-performance parallel algorithm for solving these ones are considered. The investigation of the algorithm scalability has been carried out on the problem class, in which the computation costs of the functions depended on the iteration point. The algorithm proposed in the present work can utilize the CPUs (for solving more complex subproblems) as well as the GPUs (for solving the simple subproblems). The results of numerical experiments demonstrating the speedup when solving a series of multiextremal constrained problems are presented. | ru |
dc.description.sponsorship | This study was supported by the Russian Science Foundation, project No 16-11-10150. | ru |
dc.language.iso | en | ru |
dc.publisher | Новая техника | ru |
dc.subject | multidimensional multiextremal optimization | ru |
dc.subject | global optimization | ru |
dc.subject | parallel computing | ru |
dc.subject | dimension reduction | ru |
dc.title | High performance computing for global optimization problems | ru |
dc.type | Article | ru |
dc.textpart | However, in these works the problems were considered, in which the time of the trial execution didn’t depend on the trial point. Here, the problem is considered assuming that in the Науки о данных K.A. Barkalov, V.P. Gergel IV Международная конференция и молодёжная школа «Информационные те... | - |
Располагается в коллекциях: | Информационные технологии и нанотехнологии |
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paper_391.pdf | Основная статья | 798.86 kB | Adobe PDF | Просмотреть/Открыть |
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