Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12258/11911
Title: The application of modular arithmetic for matrix calculations
Authors: Kuchukov, V. A.
Кучуков, В. А.
Babenko, M. G.
Бабенко, М. Г.
Keywords: Matrix calculations;Python;Reliability;Residue number system (RNS);Digital signal processing;Matrix algebra
Issue Date: 2019
Publisher: Institute of Electrical and Electronics Engineers Inc.
Citation: Kuchukov, V., Babenko, M. The application of modular arithmetic for matrix calculations // Proceedings - 2019 Ivannikov Ispras Open Conference, ISPRAS 2019. - 2019. - Номер статьи 8991152. - Pages 49-54
Series/Report no.: Proceedings - 2019 Ivannikov Ispras Open Conference, ISPRAS 2019
Abstract: The article considers the application of the Residue Number System (RNS) for matrix calculations. This can be useful to improve the performance and reliability of calculations in digital signal processing and artificial neural networks. We have reviewed the algorithms for calculating the scalar product. Their modeling and comparison with the standard means of the NumPy library of the Python are carried out. Methods of translation between the positional numeral system and RNS are described and simulated. Conclusions about the applicability of methods for calculations on Python are made. We have present the fault-tolerant scheme for error detection and correction. The examples of error occurrence and their correction by the presented scheme are considered
URI: http://hdl.handle.net/20.500.12258/11911
Appears in Collections:Статьи, проиндексированные в SCOPUS, WOS

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