TY  - CONF
EP  - 167
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-77952591579&doi=10.1109%2fSCORED.2009.5443190&partnerID=40&md5=864a2393db28a8d3ea788045a6528dd9
A1  - Nazlee, A.M.
A1  - Hussin, F.A.
A1  - Ali, N.B.Z.
SN  - 9781424451876
Y1  - 2009///
KW  - 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
KW  -  Algorithms; Network security; Parallel architectures
KW  -  Cryptography
SP  - 164
ID  - scholars573
TI  - Serpent encryption algorithm implementation on compute unified device architecture (CUDA)
N2  - 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.
N1  - 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
AV  - none
CY  - Serdang
ER  -