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https://dspace.ncfu.ru/handle/20.500.12258/481
Title: | High performance parallel computing in residue number system |
Authors: | Deryabin, M. A. Дерябин, М. А. Chervyakov, N. I. Червяков, Н. И. Babenko, M. G. Бабенко, М. Г. Shabalina, M. N. Шабалина, М. Н. |
Keywords: | Residue number system (RNS);Number systems;High-performance computing;Parallel computing |
Issue Date: | 2018 |
Publisher: | INT JOURNAL COMBINATORIAL OPTIMIZATION PROBLEMS & INFORMATICS |
Citation: | Deryabin, 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 - 67 |
Series/Report no.: | INTERNATIONAL JOURNAL OF COMBINATORIAL OPTIMIZATION PROBLEMS AND INFORMATICS |
Abstract: | Residue 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 RNS |
URI: | http://apps.webofknowledge.com/full_record.do?product=WOS&search_mode=GeneralSearch&qid=1&SID=D4CqLgJyMUbdkXB1tTT&page=1&doc=32 https://dspace.ncfu.ru:443/handle/20.500.12258/481 |
Appears in Collections: | Статьи, проиндексированные в SCOPUS, WOS |
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WoS 30 .pdf Restricted Access | 78.21 kB | Adobe PDF | View/Open |
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