| DC Field | Value | Language |
|---|
| dc.contributor.author | Karasik, O. N. | - |
| dc.contributor.author | Prihozhy, A. A. | - |
| dc.date.accessioned | 2020-06-02T13:53:36Z | - |
| dc.date.available | 2020-06-02T13:53:36Z | - |
| dc.date.issued | 2020 | - |
| dc.identifier.citation | Karasik, O. N. Cooperative multi-thread scheduler for solving large-size tasks on multi-core systems / O. N. Karasik, A. A. Prihozhy // BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня: сб. материалов VI Междунар. науч.-практ. конф., Минск, 20-21 мая 2020 года: в 3 ч. Ч. 1 / редкол. : В. А. Богуш [и др.]. – Минск : Бестпринт, 2020. – С. 202–212. | ru_RU |
| dc.identifier.isbn | 978-985-90533-7-5 | - |
| dc.identifier.uri | https://libeldoc.bsuir.by/handle/123456789/39020 | - |
| dc.description.abstract | The architecture of a cooperative multi-thread scheduler for thread execution on multi-core systems that run Windows is proposed. The architecture is implemented using the User Mode Scheduling (UMS) mechanism, which allows the user application to organize cooperative thread execution. The architecture under development includes the necessary set of components: a user thread for executing user code; new synchronization primitive for organizing the interaction of user threads running on different cores of a multicore system; a control transfer mechanism between user threads running on the same core. The architecture allows the programmer to implement cooperative multi-threaded algorithms to accelerate the solution of large-scale problems on multi-core systems. | ru_RU |
| dc.language.iso | en | ru_RU |
| dc.publisher | Беспринт | ru_RU |
| dc.subject | материалы конференций | ru_RU |
| dc.subject | multi-threaded application | ru_RU |
| dc.subject | multi-core system | ru_RU |
| dc.subject | cooperative multi-tasking | ru_RU |
| dc.subject | scheduler | ru_RU |
| dc.subject | large-size tasks | ru_RU |
| dc.title | Cooperative multi-thread scheduler for solving large-size tasks on multi-core systems | ru_RU |
| dc.type | Статья | ru_RU |
| Appears in Collections: | BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : материалы конференции (2020)
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