Abstract:In this paper, we present the results of parallelizing the Data Encryption Standard (DES) algorithm. The data dependence analysis of the loop iterations was applied in order to parallelize this algorithm. The OpenMP standard is used for presenting a parallel algorithm. The classic DES algorithm can be divided into parallelizable and unparallelizable parts. As a result of our experiments it was stated that most of the "for" loops of the DES algorithm are well suitable for parallelization. The experiments with the parallel part of the algorithm against the sequential one using two-processors machine has shown that the speed-up is about 1.95. However, the rest code, containing I/O functions, is unparallelizable that reduces the speed-up of the parallel program running on multiprocessor computers.

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In this paper the results of parallelizing a block cipher based on a spatiotemporal chaotic system and a chaotic neural network are presented. A data dependence analysis of loops was applied in order to parallelize the algorithm. The parallelism of the algorithm is demonstrated in accordance with the OpenMP standard. The efficiency measurements of a parallel algorithm working in standard modes of operation are shown.

Abstract. In this paper, we present results of parallelizing the International Data Encryption Algorithm (IDEA). The data dependence analysis of loops was applied in order to parallelize this algorithm. The OpenMP standard is chosen for presenting the parallelism of the algorithm. The efficiency measurement for a parallel program is presented.

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