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Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2022, Issue 4, Pages 50–61
DOI: https://doi.org/10.14357/20718632220405 (Mi itvs785) 		 
COMPUTER SYSTEMS AND NETWORKS

Performance analysis of vectorized algorithms

A. E. Maslov, A. A. Zorin

Join-stock company Scientific and technical center "Raduga", Moscow, Russia
Full-text PDF (906 kB)
DOI: https://doi.org/10.14357/20718632220405
Abstract: This paper is devoted to evaluating the efficiency of vectorization for algorithms, which are used in various tasks in order to improve performance. Rational use cases for the SIMD extension are determined. The possibilities of achieving the declared theoretical limit of performance increase are determined. Comparison of use of SSE and AVX extensions for various data types (double, float, complex float and double) is made.
Keywords: vectorization, SIMD, SSE, AVX, dot product, convolution, correlation.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. E. Maslov, A. A. Zorin, “Performance analysis of vectorized algorithms”, Informatsionnye Tekhnologii i Vychslitel'nye Sistemy, 2022, no. 4, 50–61
Citation in format AMSBIB
\Bibitem{MasZor22}
\by A.~E.~Maslov, A.~A.~Zorin
\paper Performance analysis of vectorized algorithms
\jour Informatsionnye Tekhnologii i Vychslitel'nye Sistemy
\yr 2022
\issue 4
\pages 50--61
\mathnet{http://mi.mathnet.ru/itvs785}
\crossref{https://doi.org/10.14357/20718632220405}
\elib{https://elibrary.ru/item.asp?id=50173546}
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