Open AccessEvaluation of computational efficiency by the method of parallelization in a multi-core CPU’s in a large data array
Author(s) -
F A Alisherov,
S Q Iskandarov,
Saida Khamraeva,
B B Nurmetova
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1901/1/012028
Subject(s) - computer science , fast fourier transform , parallel computing , thread (computing) , multi core processor , distributed computing , supercomputer , simd , scalability , computational science , computer architecture , algorithm , operating system
Nowadays, with the rapid growth of data, there is a growing demand for large-scale data processing. This data processing, led to the development of computers. These include the development of computer processors, cores. This article explores the effectiveness of Microsoft framework-based parallel extension for multi-core processors for fast Fourier Transform (FFT) in fast multi-faceted computing paradigms. We have a very large number of threads as a multi-thread paradigm, and the cost of switching between threads is minimal. The global nature of computational and transactional equilibrium and built-in communication models in the parallel FFT algorithm makes it an ideal candidate for multidimensional platforms.