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Підвищення швидкості операції множення перестановок за рахунок використання SIMD інструкцій

Підвищення швидкості операції множення перестановок за рахунок використання SIMD інструкцій

Abstract

У роботі розроблено та досліджено алгоритми виконання множення перестановок за допомогою використання SIMD інструкцій сучасних процесорів. Виконано аналіз SIMD інструкцій, що можуть бути використані для виконання операцій над перестановками. Розроблені алгоритми базуються на використанні розширених інструкцій процесорів, що дають змогу виконувати операції над даними, представленими у векторному форматі. Практично визначено та досліджено переваги використання SIMD інструкцій для підвищення швидкості виконання операцій над перестановками. Проведено аналіз та порівняння швидкості виконання операцій над перестановками з та без використання SIMD інструкцій. Розроблені алгоритми можуть бути використані при реалізації методів, що базуються на великій кількості операцій множення перестановок, що дасть можливість значно підвищити швидкість їх виконання. Ключові слова: , , , , , . Algorithms for performing permutation multiplication using SIMD (Single Instruction Multiple Data) instructions of modern processors are developed and investigated in the article. The purpose of the article is to increase the performance and reduce the power consumption of the processor during the executing of typical permutation operations by creating algorithms for performing permutation operations using SIMD instructions. The scientific novelty of the article lies in the proposed approach to the hardware implementation of permutation multiplication, which through the use of SIMD instructions can reduce the execution time of this operation and, consequently, increase performance and reduce CPU power consumption. The practical value of the article is determined by the developed algorithms for permutation multiplication, the effectiveness of which is confirmed by comparison with classical multiplication procedures. An analysis of SIMD instructions that can be used to perform permutation operations is performed. The developed algorithms are based on the use of advanced processor instructions that allow you to perform operations on data presented in vector format. The advantages of using SIMD instructions to increase the speed of permutation operations are practically identified and investigated. The analysis and comparison of the speed of permutation operations with and without the use of SIMD instructions are performed. Described implementations of permutation multiplication algorithms using SIMD instructions can be used to accelerate permutation operations, in particular in the three-pass cryptographic protocol based on permutations. The use of SIMD instructions makes it possible to speed up permutation multiplication operations up to 2.6 times (depending on the hardware). The developed algorithms can be used in the implementation of methods based on a large number of permutation multiplication operations, which will significantly increase the speed of their execution.

Country
Ukraine
Related Organizations
Keywords

register, algorithm, вектор, AVX2, регістр, процесор, алгоритм, processor, vector, SSSE3

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green