Geodesic
Performance analysis of vectorized algorithms
Informacionnye tehnologii i vyčislitelnye sistemy, no. 4 (2022), pp. 50-61.

Voir la notice de l'article provenant de la source Math-Net.Ru

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, dot product, correlation.
Mots-clés : SSE, AVX, convolution 
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     author = {A. E. Maslov and A. A. Zorin},
     title = {Performance analysis of vectorized algorithms},
     journal = {Informacionnye tehnologii i vy\v{c}islitelnye sistemy},
     pages = {50--61},
     publisher = {mathdoc},
     number = {4},
     year = {2022},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/ITVS_2022_4_a4/}
}
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A. E. Maslov; A. A. Zorin. Performance analysis of vectorized algorithms. Informacionnye tehnologii i vyčislitelnye sistemy, no. 4 (2022), pp. 50-61. http://geodesic.mathdoc.fr/item/ITVS_2022_4_a4/