%0 Conference Paper
%A Nazlee, A.M.
%A Hussin, F.A.
%A Ali, N.B.Z.
%D 2009
%F scholars:573
%K Block encryption; C language; Compute unified device architectures; Encryption algorithms; General-purpose computing; GPU computing; Graphic processing units; Parallel Computing; Parallel processing; Performance Gain; Security margins; Throughput performance, Algorithms; Network security; Parallel architectures, Cryptography
%P 164-167
%R 10.1109/SCORED.2009.5443190
%T Serpent encryption algorithm implementation on compute unified device architecture (CUDA)
%U https://khub.utp.edu.my/scholars/573/
%X 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 100MB/s or more than 7X performance gain. ©2009 IEEE.
%Z cited By 7; Conference of 2009 IEEE Student Conference on Research and Development, SCOReD2009 ; Conference Date: 16 November 2009 Through 18 November 2009; Conference Code:80411