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...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohd Nazlee, Anas, Hussin, Fawnizu Azmadi, Zain Ali, Noohul Basheer
Format: Conference or Workshop Item
Published: 2010
Subjects:
Online Access:http://eprints.utp.edu.my/3597/1/fawnizu_anasSCORED2009.pdf
http://eprints.utp.edu.my/3597/
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
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.