AES on GPU: a CUDA Implementation

Camilla Fiorese, Ceren Budak
Dept. of Computer Science, University of California, Santa Barbara
Workshop on Cryptographic Hardware and Embedded Systems (CHES 2007), 2007, p.209-226


   title={AES on GPU: a CUDA Implementation},

   author={Fiorese, C. and Budak, C.},




Source Source   



Our research explores the possibility of efficiently implementing the Advanced Encryption Standard (AES) in the Graphic Processing Unit using the CUDA platform provided by Nvidia. GPUs present a considerable computational power that often is not used; their architecture seems particularly useful in the range of applications that use parallel processing. Because of its nature AES seems to be a good fit for parallel processing. Other research have been done in this field, a work from Harrison [1] which analyzes the performance of different approaches in implementing AES on GPUs shows promising results. We want to use this work as a starting point for our novel research that will be tight on CUDA.
No votes yet.
Please wait...

* * *

* * *

HGPU group © 2010-2021 hgpu.org

All rights belong to the respective authors

Contact us: