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Please use this identifier to cite or link to this item: https://dspace.ncfu.ru/handle/20.500.12258/481
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dc.contributor.authorDeryabin, M. A.-
dc.contributor.authorДерябин, М. А.-
dc.contributor.authorChervyakov, N. I.-
dc.contributor.authorЧервяков, Н. И.-
dc.contributor.authorBabenko, M. G.-
dc.contributor.authorБабенко, М. Г.-
dc.contributor.authorShabalina, M. N.-
dc.contributor.authorШабалина, М. Н.-
dc.date.accessioned2018-06-06T12:39:46Z-
dc.date.available2018-06-06T12:39:46Z-
dc.date.issued2018-
dc.identifier.citationDeryabin, M; Chervyakov, N; Tchernykh, A; Babenko, M; Shabalina, M. High performance parallel computing in residue number system // INTERNATIONAL JOURNAL OF COMBINATORIAL OPTIMIZATION PROBLEMS AND INFORMATICS. - Volume 9. - Issue 1. - Pages 62 - 67ru
dc.identifier.urihttp://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=D4CqLgJyMUbdkXB1tTT&page=1&doc=32-
dc.identifier.urihttps://dspace.ncfu.ru:443/handle/20.500.12258/481-
dc.description.abstractResidue Number System (RNS) allows performing computation more efficiently. Natural parallelism of representation and processing of numbers makes this number system suitable for applying to high performance computing. We address the main features of application of RNS to high-performance parallel computing. We consider and analyze different stages of data processing in RNS. Based on this analysis, we describe the process of decomposition of algorithms using RNSru
dc.language.isoenru
dc.publisherINT JOURNAL COMBINATORIAL OPTIMIZATION PROBLEMS & INFORMATICSru
dc.relation.ispartofseriesINTERNATIONAL JOURNAL OF COMBINATORIAL OPTIMIZATION PROBLEMS AND INFORMATICS-
dc.subjectResidue number system (RNS)ru
dc.subjectNumber systemsru
dc.subjectHigh-performance computingru
dc.subjectParallel computingru
dc.titleHigh performance parallel computing in residue number systemru
dc.typeСтатьяru
vkr.amountPages 62 - 67ru
vkr.instИнститут математики и естественных наук-
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