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Please use this identifier to cite or link to this item: https://libeldoc.bsuir.by/handle/123456789/38977
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dc.contributor.authorAdamov, A.-
dc.contributor.authorBuranbaeva, A. I.-
dc.contributor.authorGindin, S. I.-
dc.contributor.authorGlesner, M.-
dc.contributor.authorHorton, I.-
dc.contributor.authorKeevallik, A.-
dc.contributor.authorKhomonenko, A. D.-
dc.contributor.authorKlyuyeva, Y. G.-
dc.contributor.authorSkliarova, I.-
dc.contributor.authorSklyarov, V.-
dc.contributor.authorYavorskiy, V. V.-
dc.date.accessioned2020-05-26T13:25:09Z-
dc.date.available2020-05-26T13:25:09Z-
dc.date.issued2020-
dc.identifier.citationData processing in high-performance computing systems / A. Adamov [et al.] // 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. 33–52.ru_RU
dc.identifier.isbn978-985-90533-7-5-
dc.identifier.urihttps://libeldoc.bsuir.by/handle/123456789/38977-
dc.description.abstractThe paper integrates the results of a large group of authors working in different areas that are important in the scope of big data, including but not limited to: overview of the basic solutions for the development of data centers; storage and processing; decomposition of a problem into sub-problems of lower complexity (such as applying divide and conquer algorithms); models and methods allowing broad parallelism to be realized; alternative techniques for potential acceleration; programming languages; and practical applications.ru_RU
dc.language.isoenru_RU
dc.publisherБеспринтru_RU
dc.subjectматериалы конференцийru_RU
dc.subjectbig dataru_RU
dc.subjectdata processingru_RU
dc.subjectdata centersru_RU
dc.subjectMapReduce conceptru_RU
dc.subjecthardware acceleratorsru_RU
dc.titleData processing in high-performance computing systemsru_RU
dc.typeСтатьяru_RU
Appears in Collections:BIG DATA and Advanced Analytics = BIG DATA и анализ высокого уровня : материалы конференции (2020)

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