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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| creator | Nazlee, Anas Mohd Hussin, Fawnizu Azmadi Ali, Noohul Basheer Zain |
| description | 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 CPU-based 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 100 MB/s or more than 7X performance gain. |
| doi_str_mv | 10.1109/SCORED.2009.5443190 |
| format | Conference Proceeding |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Clocks Computer architecture Computer languages Concurrent computing Cryptography GPU computing Graphics parallel computing Parallel processing Performance gain Throughput Yarn |
| title | Serpent encryption algorithm implementation on Compute Unified Device Architecture (CUDA) |
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