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This article is cited in 2 scientific papers (total in 2 papers)
Hardware architectures of the QR-decomposition based on a Givens rotation technique
A. V. Sokolovskiy, Evgeny A. Veisov, Valery N. Tyapkin, Dmitry D. Dmitriev Siberian Federal University, Svobodny, 79, Krasnoyarsk, 660041, Russia
Abstract:
The fixed-point hardware architecture of the QR decomposition is constrained by a several issues that leads to decrease of a compute accuracy depending on a matrix size. In this article described the hardware architectures based on CORDIC algorithm and approximation functions. As a basis technique is used a Givens rotation technique, because it is a most suitable technique for hardware implementation.
Keywords:
QR-decomposition, FPGA, CORDIC algorithm, approximation function, fixed-point arithmetic.
Received: 18.03.2019 Received in revised form: 11.05.2019 Accepted: 20.07.2019
Citation:
A. V. Sokolovskiy, Evgeny A. Veisov, Valery N. Tyapkin, Dmitry D. Dmitriev, “Hardware architectures of the QR-decomposition based on a Givens rotation technique”, J. Sib. Fed. Univ. Math. Phys., 12:5 (2019), 606–613
Linking options:
https://www.mathnet.ru/eng/jsfu797 https://www.mathnet.ru/eng/jsfu/v12/i5/p606
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Abstract page: | 133 | Full-text PDF : | 74 | References: | 20 |
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