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Parallel Execution of AES-CTR Algorithm Using Extended Block Size

Nhat-Phuong Tran, Myungho Lee, Sigwon Hong
Dept of Computer Science and Engineering, Myong Ji University. 38-2 San Namdong, Cheo-In Gu, Yong In, Kyung Ki Do, Korea
14th IEEE International Conference on Computational Science and Engineering, 2011

@article{tran2011parallel,

   title={Parallel Execution of AES-CTR Algorithm Using Extended Block Size},

   author={Tran, N.P. and Lee, M. and Hong, S.},

   year={2011}

}

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Data encryption and decryption are common operations in a network based application programs with security. In order to keep pace with the input data rate in such applications, real-time processing of data encryption/decryption is essential. For example, in an environment where a multimedia data is streamed, high speed data encryption/decryption is crucial. In this paper, we propose a new approach to parallelize AES-CTR algorithm by extending the size of the block which is encrypted at one time across the unit block boundaries. The proposed approach leads to significant performance improvements using a general-purpose multi-core processor and a Graphic Processing Unit (GPU) which become popular these days. In particular, the performance improvement on GPU is dramatic; close to 9-times faster compared with the original coarse-grain parallelization approach, mainly thanks to the "multi-core" nature of the GPU architecture.
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