Implementation and Analysis of AES Encryption on GPU
Center for High Performance Computing, Northwestern Polytechnical University, Xi’an, CHINA
The third International Workshop on Frontier of GPU Computing, 2012
@article{li2012implementation,
title={Implementation and Analysis of AES Encryption on GPU},
author={Li, Q. and Zhong, C. and Zhao, K. and Mei, X. and Chu, X.},
year={2012}
}
GPU is continuing its trend of vastly outperforming CPU while becoming more general purpose. In order to improve the efficiency of AES algorithm, this paper proposed a CUDA implementation of Electronic Codebook (ECB) mode encoding process and Cipher Feedback (CBC) mode decoding process on GPU. In our implementation, the frequently accessed T-boxes were allocated on on-chip shared memory and the granularity that one thread handles a 16 Bytes AES block was adopted. Finally, we achieved the highest performance of around 60 Gbps throughput on NVIDIA Tesla C2050 GPU, which runs up to 50 times faster than a sequential implementation based on Intel Core i7-920 2.66GHz CPU. In addition, we discussed the optimization under some practical application scenarios such as overlapping GPU processing and data transfer.
September 25, 2012 by hgpu
