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High-Speed Parity Number Detection Algorithm in RNS Based on Akushsky Core Function

The Residue Number System is widely used in cryptography, digital signal processing, image processing systems and other areas where high-performance computation is required. One of the computationally expensive operations in the Residue Number System is the parity detection of a number. This paper p...

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Главные авторы: Lutsenko, V. V., Луценко, В. В., Geryugova, A. E., Герюгова, А. Э., Babenko, M. G., Бабенко, М. Г., Lapina, M. A., Лапина, М. А.
Formato: Статья
Idioma:English
Publicado em: Springer Science and Business Media Deutschland GmbH 2025
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Acesso em linha:https://dspace.ncfu.ru/handle/123456789/29591
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spelling ir-123456789-295912025-01-30T13:19:12Z High-Speed Parity Number Detection Algorithm in RNS Based on Akushsky Core Function Lutsenko, V. V. Луценко, В. В. Geryugova, A. E. Герюгова, А. Э. Babenko, M. G. Бабенко, М. Г. Lapina, M. A. Лапина, М. А. Akushsky core function Residue number system (RNS) High performance computing Non-modular operations Parity detection The Residue Number System is widely used in cryptography, digital signal processing, image processing systems and other areas where high-performance computation is required. One of the computationally expensive operations in the Residue Number System is the parity detection of a number. This paper presents a high-speed algorithm for parity detection of numbers in Residue Number System based on Akushsky core function. The proposed approach for parity detection reduces the average time by 20.39% compared to the algorithm based on the Chinese Remainder Theorem. 2025-01-30T13:17:19Z 2025-01-30T13:17:19Z 2024 Статья Lutsenko, V., Geryugova, A., Babenko, M., Lapina, M., Mary Anita, E.A. High-Speed Parity Number Detection Algorithm in RNS Based on Akushsky Core Function // Lecture Notes in Networks and Systems. - 2024. - 1121 LNNS. - pp. 491-504. - DOI: 10.1007/978-981-97-7423-4_38 https://dspace.ncfu.ru/handle/123456789/29591 en Lecture Notes in Networks and Systems application/pdf Springer Science and Business Media Deutschland GmbH
institution СКФУ
collection Репозиторий
language English
topic Akushsky core function
Residue number system (RNS)
High performance computing
Non-modular operations
Parity detection
spellingShingle Akushsky core function
Residue number system (RNS)
High performance computing
Non-modular operations
Parity detection
Lutsenko, V. V.
Луценко, В. В.
Geryugova, A. E.
Герюгова, А. Э.
Babenko, M. G.
Бабенко, М. Г.
Lapina, M. A.
Лапина, М. А.
High-Speed Parity Number Detection Algorithm in RNS Based on Akushsky Core Function
description The Residue Number System is widely used in cryptography, digital signal processing, image processing systems and other areas where high-performance computation is required. One of the computationally expensive operations in the Residue Number System is the parity detection of a number. This paper presents a high-speed algorithm for parity detection of numbers in Residue Number System based on Akushsky core function. The proposed approach for parity detection reduces the average time by 20.39% compared to the algorithm based on the Chinese Remainder Theorem.
format Статья
author Lutsenko, V. V.
Луценко, В. В.
Geryugova, A. E.
Герюгова, А. Э.
Babenko, M. G.
Бабенко, М. Г.
Lapina, M. A.
Лапина, М. А.
author_facet Lutsenko, V. V.
Луценко, В. В.
Geryugova, A. E.
Герюгова, А. Э.
Babenko, M. G.
Бабенко, М. Г.
Lapina, M. A.
Лапина, М. А.
author_sort Lutsenko, V. V.
title High-Speed Parity Number Detection Algorithm in RNS Based on Akushsky Core Function
title_short High-Speed Parity Number Detection Algorithm in RNS Based on Akushsky Core Function
title_full High-Speed Parity Number Detection Algorithm in RNS Based on Akushsky Core Function
title_fullStr High-Speed Parity Number Detection Algorithm in RNS Based on Akushsky Core Function
title_full_unstemmed High-Speed Parity Number Detection Algorithm in RNS Based on Akushsky Core Function
title_sort high-speed parity number detection algorithm in rns based on akushsky core function
publisher Springer Science and Business Media Deutschland GmbH
publishDate 2025
url https://dspace.ncfu.ru/handle/123456789/29591
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