Serpent encryption algorithm implementation on Compute Unified Device Architecture (CUDA)
CUDA is a platform developed by Nvidia for general purpose computing on Graphic Processing Unit to utilize the parallelism capabilities. Serpent encryption is considered to have high security margin as its advantage; however it lacks in speed as its disadvantage. We present a methodology for the tra...
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Main Authors: | , , |
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Format: | Conference or Workshop Item |
Published: |
2010
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Subjects: | |
Online Access: | http://eprints.utp.edu.my/3606/1/SCOReD_SerpentCUDA_FinalPaper_v2%5BFinal%5D.pdf http://eprints.utp.edu.my/3606/ |
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Summary: | CUDA is a platform developed by Nvidia for general purpose computing on Graphic Processing Unit to utilize the parallelism capabilities. Serpent encryption is considered to have high security margin as its advantage; however it lacks in speed as its disadvantage. We present a methodology for the transformation of CPU-based implementation of Serpent encryption algorithm (in C language) on CUDA to take advantage of CUDA’s parallel processing capability. The proposed methodology could be used to quickly port a CPUbased algorithm for a quick gain in performance. Further tweaking, as described in this paper through the use of a profiler, would further increase the performance gain. Result based on the integration of multiple block encryption in parallel shows throughput performance of up to 100MB/s or more than 7X performance gain. |
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