Please use this identifier to cite or link to this item: http://hdl.handle.net/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
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