Computer parallel Rijndael algorithm optimization based on data stream decomposition

Issue title: Fuzzy Logic based Decision Making

Guest editors: Erik Maehle, Norbert Stoll and Chao-Hsien Chu

Article type: Research Article

Authors: Wang, Cuiping

Affiliations: Business School of Rizhao Vocational and Technical College, Rizhao, Shandong 276800, China | E-mail: [email protected]

Correspondence: [*] Corresponding author: Business School of Rizhao Vocational and Technical College, Rizhao, Shandong 276800, China. E-mail: [email protected].

Abstract: An order to improve the execution efficiency of Rijndael algorithm, starting from the analysis of the transformation of the core part of the Rijndael algorithm, a method based on data stream decomposition was proposed in the multi-core platform for parallel optimization of Rijndael algorithm. The main method adopted is to divide the effect of each component transformation of the wheel transform on the whole state into the effect of each component unit of the state, so that the component transformation can be carried out in parallel. The experimental results show that the average acceleration ratio of the decomposition of Rijndael algorithm based on data stream is 1.0674, and the performance is 6.74% higher than before . Therefore, the scheme of parallel optimization of Rijndael algorithm based on data flow decomposition is feasible, and the performance improvement brought by parallel optimization of Rijndael algorithm basically meets the expected requirements of the experiment.

Keywords: Rijndael algorithm, data stream decomposition, parallel optimization, computer

DOI: 10.3233/JCM-191044

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 19, no. S1, pp. 307-312, 2019