Analysis of the implementation of parallel algorithms for digital filtering of large arrays of distorted data

Parallel algorithms for solving a one-dimensional problem of digital filtering of data arrays using a syn-chronous calculation scheme are considered. These algorithms are implemented on a multi-core computer using the high-level language C# and the Visual Studio 2022 environment with the involvement of the System and System.Threading libraries. The ThreadPool and Parallel.For tools were used when executing the aforementioned filtering algorithms. Numerical experiments were conducted for different types of distorted signals using different methods of setting weight coefficients. As a result, a significant real speed up of parallel algorithms was obtained, which confirmed their high efficiency. The results obtained can be used during the preliminary processing of large data arrays in many subject areas using modern software and hardware tools.

Publication Details

Journal
Physico-mathematical modelling and informational technologies
Published
2025-08-25
DOI
https://doi.org/10.15407/fmmit2025.40.047
Primary Topic
Advanced Computational Techniques in Science and Engineering
Type
article
Field-Weighted Citation Impact
0.00
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article

Analysis of the implementation of parallel algorithms for digital filtering of large arrays of distorted data

Physico-mathematical modelling and informational technologies
Advanced Computational Techniques in Science and Engineering
article

Analysis of the implementation of parallel algorithms for digital filtering of large arrays of distorted data

article en

Abstract

Parallel algorithms for solving a one-dimensional problem of digital filtering of data arrays using a syn-chronous calculation scheme are considered. These algorithms are implemented on a multi-core computer using the high-level language C# and the Visual Studio 2022 environment with the involvement of the System and System.Threading libraries. The ThreadPool and Parallel.For tools were used when executing the aforementioned filtering algorithms. Numerical experiments were conducted for different types of distorted signals using different methods of setting weight coefficients. As a result, a significant real speed up of parallel algorithms was obtained, which confirmed their high efficiency. The results obtained can be used during the preliminary processing of large data arrays in many subject areas using modern software and hardware tools.

Physico-mathematical modelling and informational technologiesVol. 40
Openalex Percentile: Top 67%
Advanced Computational Techniques in Science and Engineering
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