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http://dx.doi.org/10.13089/JKIISC.2021.31.3.423

Parallel Implementation of SPECK, SIMON and SIMECK by Using NVIDIA CUDA PTX  

Jang, Kyung-bae (Hansung University)
Kim, Hyun-jun (Hansung University)
Lim, Se-jin (Hansung University)
Seo, Hwa-jeong (Hansung University)
Publication Information
Journal of the Korea Institute of Information Security & Cryptology / v.31, no.3, 2021 , pp. 423-431 More about this Journal
Abstract
SPECK and SIMON are lightweight block ciphers developed by NSA(National Security Agency), and SIMECK is a new lightweight block cipher that combines the advantages of SPECK and SIMON. In this paper, a large-capacity encryption using SPECK, SIMON, and SIMECK is implemented using a GPU with efficient parallel processing. CUDA library provided by NVIDIA was used, and performance was maximized by using CUDA assembly language PTX to eliminate unnecessary operations. When comparing the results of the simple CPU implementation and the implementation using the GPU, it was possible to perform large-scale encryption at a faster speed. In addition, when comparing the implementation using the C language and the implementation using the PTX when implementing the GPU, it was confirmed that the performance increased further when using the PTX.
Keywords
SPECK; SIMON; SIMECK; CUDA; PTX;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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